By Michelle Morgan, Dean of Students at the University of East London.
In the UK, we have a well-established education system across different levels of learning including primary, secondary, further and higher education. For each level, there is a comprehensive structure that is regulated and monitored alongside extensive information. However, at present, they generally function in isolation.
The Government’s recent Curriculum and Assessment Review has asked for suggestions to improve the curriculum and assessment system for the 16-19 year study group. This group includes a range of qualifications including GCSEs, A-levels, BTECs, T Levels and apprenticeships. The main purpose of the Review is to
ensure that the curriculum balances ambition, relevance, flexibility and inclusivity for all children and young people.
However, as part of this review, could it also look at how the different levels of study build on one another? Could the sectors come together and use their extensive knowledge for their level and type of study, to create an integrated road map across secondary, further and higher education where skills, knowledge, competencies and attributes (and how they translate into employability skills) are clearly articulated? We could call this a National Learning Framework. It could align with the learning gain programme led by the Office for Students (OfS).
The benefits of a National Learning Framework
There would be a number of benefits to adopting this approach:
It would provide a clear resource for all stakeholders, including students and staff in educational organisations, policymakers, Government bodies, Regulators and Quality Standard bodies (such as Ofsted, the Office for Students and QAA) and business and industry. It would also help manage the general public perception of higher education.
This approach would join up the regulatory bodies responsible for the different sectors. It would help create a collaborative, consistent learning and teaching approach, by setting and explaining the aims and objectives of the various types of education providers.
It would explain and articulate the differences in learning, teaching and assessment approaches across the array of secondary and further education qualifications that are available and used as progression qualifications into higher education. For example, A-Levels are mainly taught in schools and assessed by end-of-year exams. ‘Other’ qualifications such as BTEC, Access and Other Level 3 qualifications taught in college have more diverse assessments.
It would help universities more effectively bridge the learning and experience transition into higher education across all entry qualifications. We know students from the ‘Other’ qualification groups are often from disadvantaged backgrounds, which can affect retention, progression and success at university as research highlights (see also this NEON report). Students with other qualifications are more likely to withdraw than those with A-Levels. However, as this recent reportPrior learning experience, study expectations of A-Level and BTEC students on entry to universityhighlights, it is not the BTEC qualification per se that is the problem but the transition support into university study that needs improvement.
It would also address assumptions about how learning occurs at each level of study. For example, because young people use media technology to live and socialise, it is assumed the same is the case with learning. Accessing teaching and learning material, especially in schools, remains largely traditional: the main sources of information are course textbooks and handwritten notes, although since the Covid-19 Pandemic, the use of coursework submission and basic virtual learning environments (VLEs) is on the increase.
If we clearly communicate to students the learning that occurs throughout each level of their study, and what skills, knowledge, competencies and attributes they should obtain as a result, this can help with their confidence levels and their employability opportunities as they can better articulate what they have achieved.
What could an integrated learning approach across all levels of study via a NationalLearning Framework look like?
The Employability Skills Pyramid created for levels 4 to 7 in higher education with colleagues in a previous university where I worked could be extended to include Levels 2/3 and apprenticeships to create a National Learning Framework. The language used to construct the knowledge, skills and attribute grids used by course leaders purposely integrated the QAA statements for degrees (see accompanying document Appendix 1) .
By adding Levels 2 and 3, including apprenticeship qualifications and articulating the differences between each qualification, the education sector could understand what is achieved within and between different levels of study and qualifications (see Figure 1).
Key stakeholders could come together from across all levels of study to map out and agree on the language to adopt for consistency across the various levels and qualifications.
Integrated National Learning Framework across Secondary, Further andHigher Education
Alongside the National Learning Framework, a common transition approach drawing on the same definitions across all levels of study would be valuable. Students and staff could gain the understanding required to foster successful transitions between phases. An example is provided below.
Supporting transitions across the National Learning Framework using similar terminology
The Student Experience Transitions (SET) Model was designed to support courses of various lengths and make the different stages of a course clearer. It was originally designed for higher education but the principles are the same across all levels of study (see Figure 2). Students need to progress through each stage which has general rules of engagement. The definitions of each stage and the mapping of each stage by length of course are in the accompanying document in Appendix 2.
Figure 2: The Student Experience Transitions Model. Source: Morgan 2012
The benefits for students are consistency and understanding what is expected for their course. At each key transition stage, students would understand what is expected by reflecting on what they have previously learnt, how the coming year builds on what they already know and what they will achieve at the end.
Taking the opportunity to integrate
The Curriculum Review provides a real opportunity to join up each level of study and provide clarity for all stakeholders. Importantly, a National Learning Framework could provide and help with the Government’s aims of balancing ambition, relevance, flexibility and inclusivity for all learners regardless of level of study.
By Dr Adrian Gonzalez (@AGonzalez05) Senior Lecturer in Sustainability and Director of Learning and Teaching, Department of Environment and Geography at the University of York.
Climate hypocrisy in Higher Education
The climate crisis and global attempts at strengthening the sustainable and low-carbon transition is arguably the most critical issue we face and there is clear evidence to show strong Higher Education (HE) support for this twin approach. However, HE, particularly in the Global North, faces increasing scrutiny and critique over its implementation of the sustainability agenda. This has led to accusations of greenwashing, in which universities (willingly or perhaps erroneously) overmarket and/or underdeliver their sustainability policies, and climate hypocrisy, where an internationalist agenda frames student recruitment (the drive towards overseas markets), research activities and partnerships. For example, in UK tertiary education (further education and higher education), the largest sources of travel emissions are student flights, but there has been limited focus on the emissions stemming from learning and teaching, particularly fieldtrips, which this post is keen to reflect on.
Destination long haul; Higher Education residential undergraduate student fieldtrips
Outdoor education, particularly fieldtrips, offer a wide array of learner benefits and can be integral to different undergraduate programmes such as Geography, Earth and Environmental Sciences (GEES), archaeology, history and classics. However, the competitive UK higher education market has helped generate an internationalisation of undergraduate fieldtrips which are now used as a critical marketing tool to attract prospective students, who as ‘consumers’, are increasingly keen on knowing where these trips go to inform applications. For example, a brief internet search of UK GEES departments shows undergraduate trips heading to exotic locations such as the Amazonia region, Colombia (BSc Environmental Science), Bahamas (BSc Ocean Science and Marine Conservation) and Malawi (BA Human Geography).
Climate hypocrisy is evident here; students are studying programmes that acknowledge and grapple with the climate crisis and the need for transformational structural changes, yet at the same time will be enrolled on degrees that facilitate long-haul international learning opportunities without significant acknowledgement or reflection of the environmental impacts. Whilst there is no reliable publicly available data on the level of carbon emissions generated by GEES and other subject fieldtrips in UK higher education, I can give an indication by drawing on a case study of the department I work in.
Department of Environment and Geography, University of York
The department runs a wide variety of one-day and residential fieldtrips across its undergraduate and postgraduate programmes. It is the undergraduate residential trips that, owing to their design, have particularly significant carbon emissions and were made the focus of the subsequent investigation. Until 2022-2023, the department ran several residential fieldtrips that encompassed both UK and overseas destinations for its four undergraduate programmes (BSc Environmental Science; BSc Physical Geography and Environment; BSc Environment, Economics and Ecology; BA Human Geography and Environment).
I used the University of York’s carbon calculator, which draws upon the UK government’s Department for Environment, Food and Rural Affairs greenhouse conversion factors to calculate the carbon emissions stemming from travel and accommodation and the offsetting requirements. The table below shows the residential fieldtrips and carbon emissions from travel (including coach and flights where relevant) and accommodation on a per-person and 50-person basis. For four 50-person trips, this generated 108,521.85 kg CO2e (or 109 metric tonnes rounded up), equating to a carbon offsetting cost of £3,437.97 for the Department on an annual basis.
Table 1: Department of Environment and Geography, University of York fieldtrips up to 2022-2023
What does this total figure equate to? A good comparison is the Stockholm Environment Institute (SEI), an international non-profit that focuses on environment and development challenges and employs 170 staff working across several international regional centres. At the time of these fieldtrips operating, SEI’s 2020 annual report indicated that its air travel emissions were almost 550 metric tonnes CO2e (in 2019). So these department fieldtrips made up the equivalent of almost 20% of the total air travel emissions of a major international research organisation.
Conclusion: a call to action
These figures indicate the scale of the socio-environmental impacts caused and the urgent need for UK higher education learning and teaching operations, particularly in GEES given the subject areas, to be seen as ‘walking the talk.’ There have been recent efforts to address this issue through the work of the RGS-IBG who have developed a list of voluntary principles to guide geography fieldwork, including the adoption of ‘sustainable fieldtrips’ which acknowledge the need to recognise and justify the resulting carbon impacts. Whilst it is positive to see 31 institutions signed up, this is less than half of the UK GEES departments and does not incorporate any wider disciplinary commitments.
This article raises a call to action for all learned institutions and UK HE departments operating residential fieldtrips to adopt sustainable fieldtrip principles and operations. Without system-wide change, climate hypocrisy remains unchallenged in UK higher education learning and teaching.
To support academic staff and departments, several steps towards sustainable fieldtrips can be taken:
Using this data, consider revising long-haul fieldtrip locations to relevant localised destinations that can be reached through low carbon (i.e. no flights) transport;
Publish the carbon costs on the department or university website to support wider debate and discussion of sustainable fieldtrips;
Implementing sustainable fieldtrips can lead to multiple Equity, Diversity and Inclusion (EDI) benefits, particularly around accessibility and inclusivity. Use this opportunity to review and seek to strengthen the EDI agenda.
Disseminate best practice guidance through research and conference outputs;
Lobby learned institutions to adopt sustainable fieldtrip principles that align with those adopted by the RGS-IBG;
Through these steps, UK higher education can begin to create a more holistic, robust and transparent sustainability and decarbonisation agenda.
However, these actions cannot happen in isolation or nullify wider critical discussions around the UK HE sustainability agenda. One of the most significant discussion points is the impact of international students studying in the UK, a country which is the second most popular study destination in the world. Whilst these students provide significant economic benefits to the UK economy (£41.9 billion between 2021/22) and are vital to the UK higher education business model (one in six universities get over a third of their total income from overseas students), the carbon footprint far surpasses the UK higher education fieldtrip contribution. A 2023 report from 21 UK further education and higher education providers concluded that student flights accounted for 2.2 metric tonnes of CO2e or 12% of total emissions, whilst globally, student mobility is estimated to generate at least 14 megatones of Co2e per year (14 million metric tonnes). It is clear therefore that in the UK context, there is an urgent need for a robust policy debate on UK higher education funding and student mobility, otherwise the sector’s decarbonisation agenda will remain only partially addressed through sustainable fieldtrips.
We recently wrapped up our AI Learning Design Assistant (ALDA) project. It was a marathon. Multiple universities and sponsors participated in a seven-month intensive workshop series to learn how AI can assist in learning design. The ALDA software, which we tested together as my team and I built it, was an experimental apparatus designed to help us learn various lessons about AI in education.
And learn we did. As I speak with project participants about how they want to see the work continue under ALDA’s new owner (and my new employer), 1EdTech, I’ll use this post to reflect on some lessons learned so far. I’ll finish by reflecting on possible futures for ALDA.
(If you want a deeper dive from a month before the last session, listen to Jeff Young’s podcast interview with me on EdSurge. I love talking with Jeff. Shame on me for not letting you know about this conversation sooner.)
AI is a solution that needs our problems
The most fundamental question I wanted to explore with the ALDA workshop participants was, “What would you use AI for?” The question was somewhat complicated by AI’s state when I started development work about nine months ago. Back then, ChatGPT and its competitors struggled to follow the complex directions required for serious learning design work. While I knew this shortcoming would resolve itself through AI progress—likely by the time the workshop series was completed—I had to invest some of the ALDA software development effort into scaffolding the AI to boost its instruction-following capabilities at the time. I needed something vaguely like today’s AI capabilities back then to explore the questions we were trying to answer. Such as what we could be using AI for a year from then.
Once ALDA could provide that performance boost, we came to the hard part. The human part. When we got down to the nitty-gritty of the question—What would you use this for?—many participants had to wrestle with it for a while. Even the learning designers working at big, centralized, organized shops struggled to break down their processes into smaller steps with documents the AI could help them produce. Their human-centric rules relied heavily on the humans to interpret the organizational rules as they worked organically through large chunks of design work. Faculty designing their own courses had a similar struggle. How is their work segmented? What are the pieces? Which pieces would they have an assistant work on if they had an assistant?
The answers weren’t obvious. Participants had to discover them by experimenting throughout the workshop series. ALDA was designed to make that discovery process easier.
A prompt engineering technique for educators: Chain of Inquiry
Along with the starting question, ALDA had a starting hypothesis: AI can function as a junior learning designer.
How does a junior learning designer function? It turns out that their primary tool is a basic approach that makes sense in an educator’s context and translates nicely into prompt engineering for AI.
Learning designers ask their teaching experts questions. They start with general ones. Who are your students? What is your course about? What are the learning goals? What’s your teaching style?
These questions get progressively more specific. What are the learning objectives for this lesson? How do you know when students have achieved those objectives? What are some common misconceptions they have?
Eventually, the learning designer has built a clear enough mental model that they can draft a useful design document of some form or other.
Notice the similarities and differences between this approach and scaffolding a student’s learning. Like scaffolding, Chain of Inquiry moves from the foundational to the complex. It’s not about helping the person being scaffolded with their learning, but it is intended to help them with their thinking. Specifically, the interview progression helps the educator being interviewed think more clearly about hard design problems by bringing relevant context into focus. This process of prompting the interviewee to recall salient facts relevant to thinking through challenging, detailed problems is very much like the AI prompt engineering strategy called Chain of Thought.
In the interview between the learning designer and the subject-matter expert, the chain of thought they spin together is helpful to both parties for different reasons. It helps the learning designer learn while helping the subject-matter expert recall relevant details that help with thinking. The same is true in ALDA. The AI is learning from the interview, while the same process helps both parties focus on helpful context. I call this AI interview prompt style Chain of Inquiry. I hadn’t seen it used when I first thought of ALDA and haven’t seen it used much since then, either.
In any case, it worked. Participants seem to grasp it immediately. Meanwhile, a well-crafted Chain of Inquiry prompt in ALDA produced much better documents after it elicited good information through interviews with its human partners.
Improving mental models helps
AI is often presented, sold, and designed to be used as a magic talking machine. It’s hard to imagine what you would and wouldn’t use a tool for if you don’t know what it does. We went at this problem through a combination of teaching, user interface design, and guided experimentation.
On the teaching side, I emphasized that a generative AI model is a sophisticated pattern-matching and completion machine. If you say “Knock knock” to it, it will answer “Who’s there?” because it knows what usually comes after “Knock knock.” I spent some time building up this basic idea, showing the AI matching and completing more and more sophisticated patterns. Some participants initially reacted to this lesson as “not useful” or “irrelevant.” But it paid off over time as participants experienced that understanding helped them think more clearly about what to expect from the AI, with some additional help from ALDA’s design.
ALDA’s basic structure is simple:
Prompt Templates are re-usable documents that define the Chain of Inquiry interview process (although they are generic enough to support traditional Chain of Thought as well).
Chats are where those interviews take place. This part of ALDA is similar to a typical ChatGPT-like experience, except that the AI asks questions first and provides answers later based on the instructions it receives from the Prompt Template.
Lesson Drafts are where users can save the last step of a chat, which hopefully will be the draft of some learning design artifact they want to use. These drafts can be downloaded as Word or PDF documents and worked on further by the human.
A lot of the magic of ALDA is in the prompt template page design. It breaks down the prompts into three user-editable parts:
General Instructions provide the identity of the chatbot that guides its behavior, e.g., “I am ALDA, your AI Learning Design Assistant. My role is to work with you as a thoughtful, curious junior instructional designer with extensive training in effective learning practices. Together, we will create a comprehensive first draft of curricular materials for an online lesson. I’ll assist you in refining ideas and adapting to your unique context and style.
“Important: I will maintain an internal draft throughout our collaboration. I will not display the complete draft at the end of each step unless you request it. However, I will remind you periodically that you can ask to see the full draft if you wish.
“Important Instruction: If at any point additional steps or detailed outlines are needed, I will suggest them and seek your input before proceeding. I will not deviate from the outlined steps without your approval.
“
Output template provides an outline of the document that the AI is instructed to produce at the end of the interview.
Steps provide the step-by-step process for the Chain of Inquiry.
The UI reinforces the idea of pattern matching and completion. The Output Template gives the AI the structure of the document it is trying to complete by the end of the chat. The General Instructions and Steps work together to define the interview pattern the system should imitate as it tries to complete the document.
Armed with the lesson and scaffolded by the template, participants got better over time at understanding how to think about asking the AI to do what they wanted it to do.
Using AI to improve AI
One of the biggest breakthroughs came with the release of a feature near the very end of the workshop series. It’s the “Improve” button at the bottom of the Template page.
When the user clicks on that button, it sends whatever is in the template to ChatGPT. It also sends any notes the user enters, along with some behind-the-scenes information about how ALDA templates are structured.
Template creators can start with a simple sentence or two in the General Instructions. Think of it as a starting prompt, e.g., “A learning design interview template for designing and drafting a project-based learning exercise.” The user can then tell “Improve” to create a full template based on that prompt. Because ALDA tells ChatGPT what a complete template looks like, the AI returns a full draft of all the fields ALDA needs to create a template. The user can then test that template and go back to the Improve window to ask for the AI to improve the template’s behavior or extend its functionality.
Building this cycle into the process created a massive jump in usage and creativity among the participants who used it. I started seeing more and more varied templates pop up quickly. User satisfaction also improved significantly.
So…what is it good for?
The usage patterns turned out to be very interesting. Keep in mind that this is a highly unscientific review; while I would have liked to conduct a study or even a well-designed survey, the realities of building this on the fly as a solo operator managing outsourced developers limited me to anecdata for this round.
The observations from the learning designers from large, well-orchestrated teams seem to line up with my theory that the big task will be to break down our design processes into chunks that are friendly to AI support. I don’t see a short-term scenario in which we can outsource all learning design—or replace it—with AI. (By the way, “air gapping” the AI, by which I mean conducting an experiment in which nothing the AI produced would reach students without human review, substantially reduced anxieties about AI and improved educators’ willingness to experiment and explore the boundaries.)
For the individual instructors, particularly in institutions with few or no learning designers, I was pleasantly surprised to discover how useful ALDA proved to be in the middle of the term and afterward. We tend to think about learning design as a pre-flight activity. The reality is that educators are constantly adjusting their courses on the fly and spending time at the end to tweak aspects that didn’t work the way they liked. I also noticed that educators seemed interested in using AI to make it safer for them to try newer, more challenging pedagogical experiments like project-based learning or AI-enabled teaching exercises if they had ALDA as a thought partner that could both accelerate the planning and bring in some additional expertise. I don’t know how much of this can be attributed to the pure speed of the AI-enabled template improvement loop and how much the holistic experience helped them feel they understood and had control over ALDA in a way that other tools may not offer them.
Possible futures for ALDA under 1EdTech
As for what comes next, nothing has been decided yet. I haven’t been blogging much lately because I’ve been intensely focused on helping the 1EdTech team think more holistically about the many things the organization does and many more that we could do. ALDA is a piece of that puzzle. We’re still putting the pieces in place to determine where ALDA fits in.
I’ll make a general remark about 1EdTech before exploring specific possible futures for ALDA. Historically, 1EdTech has solved problems that many of you don’t (and shouldn’t) know you could have. When your students magically appear in your LMS and you don’t have to think about how your roster got there, that was because of us. When you switch LMSs, and your students still magically appear, that’s 1EdTech. When you add one of the million billion learning applications to your LMS, that was us too. Most of those applications probably wouldn’t exist if we hadn’t made it easy for them to integrate with any LMS. In fact, the EdTech ecosystem as we know it wouldn’t exist. However much you may justifiably complain about the challenges of EdTech apps that don’t work well with each other, without 1EdTech, they mostly wouldn’t work with each other at all. A lot of EdTech apps simply wouldn’t exist for that reason.
Still. That’s not nearly enough. Getting tech out of your way is good. But it’s not good enough. We need to identify real, direct educational problems and help to make them easier and more affordable to solve. We must make it possible for educators to keep up with changing technology in a changing world. ALDA could play several roles in that work.
First, it could continue to function as a literacy teaching tool for educators. The ALDA workshops covered important aspects of understanding AI that I’ve not seen other efforts cover. We can’t know how we want AI to work in education without educators who understand and are experimenting with AI. I will be exploring with ALDA participants, 1EdTech members, and others whether there is the interest and funding we need to continue this aspect of the work. We could wrap some more structured analysis around future workshops to find out what the educators are learning and what we can learn from them.
Speaking of which, ALDA can continue to function as an experimental apparatus. Learning design is a process that is largely dark to us. It happens in interviews and word processor documents on individual hard drives. If we don’t know where people need the help—and if they don’t know either—then we’re stuck. Product developers and innovators can’t design AI-enabled products to solve problems they don’t understand.
Finally, we can learn the aspects of learning design—and teaching—that need to be taught to AI because the knowledge it needs isn’t written down in a form that’s accessible to it. As educators, we learn a lot of structure in the course of teaching that often isn’t written down and certainly isn’t formalized in most EdTech product data structures. How and when to probe for a misconception. What to do if we find one. How to give a hint or feedback if we want to get the student on track without giving away the answer. Whether you want your AI to be helping the educator or working directly with the student—which is not really an either/or question—we need AI to better understand how we teach and learn if we want it to get better at helping us with those tasks. Some of the learning design structures we need are related to deep aspects of how human brains work. Other structures evolve much more quickly, such as moving to skills-based learning. Many of these structures should be wired deep into our EdTech so you don’t have to think or worry about them. EdTech products should support them automatically. Something like ALDA could be an ongoing laboratory in which we test how educators design learning interventions, how those processes co-evolve with AI over time, and where feeding the AI evidence-based learning design structure could make it more helpful.
The first incarnation ALDA was meant to be an experiment in the entrepreneurial sense. I wanted to find out what people would find useful. It’s ready to become something else. And it’s now at a home where it can evolve. The most important question about ALDA hasn’t changed all that much:
Let’s set the stage. You’re a sharp, focused higher education leader staring down the realities of expanding your online and hybrid learning programs. You’ve got big goals: running your online operations in-house, owning the process, and driving growth on your terms.
This is where Online Growth Enablement comes in. This isn’t a fancy buzzword. It’s the real work behind sustainable change. It’s the boots-on-the-ground understanding of exactly where you are today so you can figure out how to move forward tomorrow.
At Archer, we do this every day — rolling up our sleeves and digging deep to map out the real picture of an institution’s online learning infrastructure. Because, let’s be honest. The only way to grow is to start with the truth about your current state and your place within the landscape of the communities you serve with your programs.
Why Your Current State Matters
Success doesn’t happen in a vacuum — especially not in online learning. Enabling the growth of your online learning infrastructure takes coordination, collaboration, and a whole lot of buy-in from every corner of your university. Marketing, tech, enrollment, financial aid, the registrar, faculty, leadership — if they’re not on the same page as you, you can’t successfully move forward. Period.
Driving real growth starts with taking an unflinching look at where you stand today. Questions you should be asking about your online operations include:
Where are you strong?
Where are you struggling?
Where are the untapped opportunities you can scale?
This isn’t about a vague, feel-good assessment from 50,000 feet up. It’s about getting into the weeds. Because, until you understand the inner workings of your current infrastructure, you’re not going to build anything sustainable. You’ll just be putting a fresh coat of paint on a crumbling foundation. And that’s not going to cut it in the long run.
The Power of Deep Insights
Let’s take a look at a real-world example of why a close examination of your current online learning infrastructure matters. One of our partner universities was taking 14 days to review and process the transcripts of students applying to their online programs. This might work fine for a traditional on-campus program with two or three big start dates a year, but for an online program, the game changes. To stay competitive, you need five or six start dates annually. And that 14-day turnaround? For our partner, it meant missing out on dozens of potential enrollments.
Fixing this issue wasn’t about throwing money at the problem. It was about setting a clear benchmark and making it happen. We worked with the institution to rethink its processes, reassign its teams’ responsibilities, and streamline every single step of its transcript review.
The effectiveness of every touchpoint you have with a potential student and every handoff between your admissions, financial aid, and academic advising teams affects your ability to deliver an overall positive student experience. Deep operational insights aren’t just nice to have; they’re the key to uncovering bottlenecks so you can clear the way for real, measurable growth.
How We Help: The Growth Enablement Assessment
At Archer, we don’t do guesswork. We help our partners make sense of the current state of their online learning infrastructure through our Growth Enablement Assessment — a no-stone-left-unturned look at every department and operational variable. From enrollment workflows to marketing execution, we get into the details that others overlook to help you figure out where you are and make a plan for where you want to be.
Our approach is anchored in our Good, Better, Best methodology:
Good: Your processes are functional. They get the job done, but let’s be honest — they need improvement to keep pace in a competitive online marketplace.
Better: There’s progress. Your processes are showing alignment, but they’re not quite optimized yet.
Best: This is where you want to be. Your processes are efficient, scalable, and fully aligned with your strategic goals.
This isn’t just an audit. It’s a road map. By pinpointing exactly where you stand and where you need to go, we equip you with the insights and strategies to move your online learning operations from functional to thriving.
Why It’s All Worth It
Yes, this takes time. Yes, it’s hard work. But the payoff is undeniable.
Fully understanding the current state of your online learning infrastructure isn’t just a box to check — it’s the foundation for every initiative that follows. It gives you the clarity to enhance not only your online learning programs but also the overall health and effectiveness of your institution.
When you commit to this process, you’re building something bigger than just operational efficiency. You’re creating alignment across departments, fostering innovation, and embedding collaboration and continuous improvement into your institution’s culture. When every team is in sync, bottlenecks disappear, every touchpoint matters, and your processes deliver on the promise of a strong student experience.
It’s not just worth it. It’s transformative. If you’re ready to take the first step toward long-term success and scalability, contact Archer Education. Let’s build the online learning infrastructure your institution deserves, together.
John Goodwin is Archer Education’s EVP of Online Growth Enablement. Archer revolutionizes the student experience by supporting partners through change, helping institutions achieve sustainable growth while fostering self-sufficiency.
Our panel of experts discusses the biggest challenges facing educators today and how educational technology can help — if used properly.
Melinda French Gates
Philanthropist, Businesswoman, Author
What is the biggest challenge you see educators facing today, especially women educators?
The worst thing you can do is put a lot of pressure on yourself to fit in. I know because I’ve been there. What I learned is that I was much happier — and much more effective as a professional — when I found my own leadership style. My advice to anyone in that position today is this: You will succeed because of who you are, not in spite of it. In the meantime, surround yourself with people who believe in you and will bring out the best in you.
What would you tell today’s educators to help them ignite a passion for STEM subjects in the next generation of female innovators?
The best educators understand that many girls are interested in STEM subjects — and many girls are really good at STEM subjects — but they get interested in them at different times and for different reasons. For example, because girls don’t always get the same early exposure to STEM that boys do, their interest tends to develop later. While boys often get into tech through video games, girls are more likely to develop an interest in the subject when they see it as a way to solve real-world problems. Educators can help by introducing STEM to girls early, bringing these subjects to life, and telling the girls in their classes, “Hey, I think you’d be good at this.”
Sean Ryan
President, McGraw Hill School
What is the biggest challenge you see educators face today?
The social context in which teachers operate poses immense challenges. Educating a child — though all are natural learners — has become more complex in recent years; more complex than I’ve seen in my entire education-related career. Poverty, social media, gun violence, ideology, belief systems, and the unrelenting advance of technology mean that what worked yesterday might be less relevant today, and what we might need tomorrow is harder to discern. That’s why as a curriculum and technology provider, we must stay in close contact with educators to ensure that we remain a worthy, agile, and, most importantly, trusted partner.
Where do you see the adoption of education technology headed in the next year?
Education technology has been deployed in a piecemeal fashion to serve a variety of specialized needs. Together, the promise is immense. Separately, confusion and frustration can ensue. The key, in my view, is systems integration to create an increasingly coherent digital learning environment that complements the physical classroom. However, this takes time. I’m less interested in new features and functionality and more enthusiastic about what happens to the teacher’s workload when core, intervention, and supplemental solutions work in harmony to ease the teacher’s burden. There will be progress next year, but it will be of an evolutionary nature, not revolutionary. You might not even notice it.
With the increased use of education technology, how can we help keep teachers from burning out and ensure that technology enhances, rather than complicates, their instructional practices?
Teachers have a near-impossible task of educating a class of students with a wide variety of demonstrated performance levels across subjects. The year of a child’s birth is a poor organizing principle. Given that principle is not likely to change any time soon, technology must be deployed thoughtfully to handle the administrative, logistic, and computational work that supports personalization at scale. Automation should absorb time-consuming tasks that teachers are taking home or missing lunch to complete. Let’s empower teachers to get to know their students, to create a vibrant learning environment that goes beyond a universal and rigid scope and sequence with a single subject.
What advice would you give to educators, administrators, and policymakers as they navigate the increasingly complex landscape of educational technology solutions?
Despite daily pressures, try to think long-term. Despite political difference, try to think universally. What is in the best interest of the students today? What is in the best interest of all of us outside of the classroom tomorrow? An educated polity is vital to improving the human experience. We are constantly planting and replanting democracy and the precursors of prosperity in the minds of the next generation. For it to take root, flourish, and grow, there must be constancy of purpose. It’s through the lens of that purpose that we can evaluate new technologies to determine if they serve or, perversely, demand servitude. Technology in isolation is neutral. Only in the context of human wants and needs can we determine if a technology is useful or harmful.
How can K-12 schools address concerns of the digital divide, especially when it comes to equitable access to devices, internet connectivity, and high-quality content?
It begins with measurement. Don’t assume national headlines reflect your local reality. Take time to understand the computing environment across buildings and between the homes of your students. We should neither assume a problem nor that there isn’t one. Once you know the state of things, administrators can go to work with trusted technology partners to close known gaps. Today, with the near ubiquity of devices and high-speed connectivity, there’s no reason to leave anyone out. This requires communication and cooperation between home and school. With respect to high-quality content, take the time to understand the differences between solutions. The lower the quality, the more grandiose the promises.
Language learning institution’s growth is projected to increase in the coming years. From 2024 to 2030, the global language learning market is predicted to expand at a compound annual growth rate of 20%. Due to the globalization of the labor market, language learning is likely to be in high demand.
Though language learning is growing in popularity, for lasting success, your school must find effective ways to stand out among other language academies looking to boost their enrollment. Digital advertising offers a broad spectrum of tools to attract students, but knowing how to maximize the impact of these strategies is key to success. At Higher Education Marketing, we’ve spent years refining approaches that yield measurable results for schools offering language learning programs. The following strategies offer actionable steps to elevate your ads targeting language students and attract the right prospects to your programs. Let’s explore!
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Understanding the Unique Needs of Language Learners
Language learners are a distinct group with varied motivations, backgrounds, and learning goals. Some are looking to learn a language for career advancement, while others may seek language acquisition for academic, travel, or personal reasons. Advertising that speaks directly to these needs requires a keen understanding of the diverse audience you aim to reach. One of the first ways to maximize the impact of digital advertising is through careful audience segmentation. Instead of promoting the same message across all channels, consider the specific motivations that drive different groups of learners and tailor your messaging accordingly.
Segmenting audiences by factors such as age, occupation, location, and even language proficiency allows schools to create highly targeted campaigns. How does language impact advertising for schools?Simply put,it depends heavily on your organizational goals. If you’re looking to target professionals wanting to learn English for business purposes, the language in your ad copy should reflect the vocational value of your programs. On the other hand, copy-targeting students hoping to improve their French skills before an international exchange can be more casual and experience-focused. This approach ensures the content resonates more deeply with potential students, increasing the chances of conversion.
Do you need help launching your language school’s latest ad campaign? Reach out to discover how we can support you.
Leveraging Social Media Platforms to Build Authentic Engagement
Social media is a powerful tool for language learning programs, offering an opportunity to create ongoing engagement with potential students. However, simply posting ads isn’t enough. The most successful social media campaigns foster a sense of community and engagement, which encourages followers to take the next step toward enrollment.
For language schools, showcasing success stories is one way to build trust. Highlighting testimonials from former students, sharing video snippets of language immersion experiences, and offering short, valuable language tips can increase authenticity. Interactive content, such as live Q&A sessions or virtual language exchange events, can draw in potential students who want to see what learning at your institution feels like before they commit.
Schools can also encourage user-generated content by asking current students to share their experiences online, providing social proof that can be far more persuasive than traditional ads. When students are shown engaging and relevant ad content on their social media feeds and in your school’s stories, they are much more likely to visit your site and perhaps even take the first step in your enrollment process.
Example: Here, a leading language school, EF Education First uses Instagram to drive their organic traffic. In their post, they share valuable language acquisition tips, providing an English reading list for their students. Try using social media to share actionable language tips with your audience. This will drive engagement, boost your follower count, and broaden your digital reach.
Source: Instagram | EF Education First
Creating Culturally Relevant Ads to Reach Global Audiences
Language learning programs often attract an international audience, which means your digital ads must resonate across cultures. One way to do this is by crafting culturally relevant ads that speak directly to the experience of international students. The language and imagery used in ads should align with the cultural values of the target audience. For example, an ad targeting language students in the Asian market might highlight the importance of family and education, while an ad aimed at Latin American students might focus on community and connectivity.
Schools should also consider creating ads in multiple languages to appeal to global audiences. You may be wondering how to go about this. For example, Can you target by language on Google Ads? Yes! Google Ads allows advertisers to create campaigns that specifically target users based on the language settings of their browser or device. You can set up your ads to appear in multiple languages, ensuring that they reach potential students who speak those languages. Additionally, you can create language-specific ad copy and landing pages, enhancing the relevance of your campaigns.
Optimizing Paid Search Ads for Long-Tail Keywords
One of the most effective ways to drive qualified traffic to your website is through paid search advertising. Language schools can take advantage of this by focusing on long-tail keywords that are specific to language learning. While broad keywords like “learn English” may have high competition, phrases like “intensive French courses for business professionals in Paris” or “Spanish language classes for travelers” are more targeted and tend to attract a highly motivated audience.
Long-tail keywords may have lower search volumes, but they often result in higher conversion rates because they target users who already have a clear intent. This approach not only helps you to maximize your ad budgets but also ensures that the clicks you receive are more likely to turn into enrollments.
Source: Hutong School
Example: Here, Hutong School uses the long-tail keyword: Global Chinese language school in their metadata. This targeted keyword is designed to attract students who not only want to learn Chinese but also want to do so at a global institution that welcomes students from all over the world. Specificity in keywords ensures higher quality leads who are specifically looking for you.
Crafting Compelling Ad Copy That Speaks to Pain Points
Effective ads for language learning and education go beyond promotion and address the specific challenges that potential students face. Whether it’s the fear of not being left behind in class or the worry about balancing language learning with other responsibilities, successful ads speak directly to these concerns.
To craft compelling ad copy, start by identifying the pain points that your target audience experiences. Are they professionals concerned about fitting language classes into their busy schedules? Are they international students worried about mastering a new language before moving abroad? Once you’ve identified these challenges, your ads should provide solutions. Highlight the flexibility of your class schedules, emphasize the support systems you have in place for struggling students, or showcase how your programs help learners achieve fluency quickly.
Source: KCP International Japanese Language School
Example: Here, KCP addresses a very common pain point for language learners in their ad copy. Many fear that it’s ‘too late’ to learn a new language as the experience can be expensive and time-consuming. KCP positions itself as the solution to this barrier, ensuring its audience that as long as they meet four basic criteria, learning Japanese is within reach for them.
Using Retargeting to Capture Warm Leads
Retargeting is one of the most powerful tools in digital advertising, particularly for language schools where prospective students may need time before making an enrollment decision. Retargeting campaigns allow schools to stay top-of-mind by showing ads to users who have already visited the school’s website or engaged with its content.
Retargeting works particularly well for language learning programs because it targets individuals who are already interested in the subject but may not have been ready to commit when they first encountered the program. Your school can use this strategy to provide reminders about upcoming enrollment deadlines, promote special offers, or share new content that highlights the benefits of your courses.
For instance, if a visitor left your site after viewing the course offerings but didn’t sign up, retargeting ads can remind them of the benefits of joining your program. This approach can be particularly effective when combined with personalized messaging, such as offering tailored suggestions based on the courses they viewed.
Incorporating Video Content to Showcase Language Learning in Action
Video ads offer a dynamic and authentic way to showcase your school’s programs. HEM’s tailored video ad services help you stand out, whether promoting a specific course or building brand awareness. From high-energy hype videos to authentic student interviews, we create compelling visuals that maximize visibility and generate results. How does that affect you as a language learning institution?
Video content is a particularly effective tool for language schools, offering prospective students a glimpse into the real-life experience of learning a new language. Whether it’s a classroom setting, a student testimonial, or a tutorial on language pronunciation, videos create an emotional connection that static ads often lack.
To maximize the impact of your video content, ensure that it highlights the immersive, interactive nature of your language programs. Videos should showcase the benefits of learning in a dynamic environment where students can practice speaking in real-life scenarios. This builds excitement and helps prospective students visualize themselves succeeding in your program.
Additionally, video ads on platforms like YouTube or social media can target specific audience segments. Language schools can use these platforms to create ads tailored to different learner types, such as professionals looking to learn a language for work or students hoping to study abroad.
Source: LSI Worldwide | YouTube
Example: This promotional video presented by a school director highlights the unique selling points of their online learning system. The unique academic benefits of your programs are an excellent topic for your promotional videos – particularly when presented by a language expert within your faculty. What makes your instruction style unique?
Harnessing the Power of Influencer Marketing
Language schools can also benefit from partnering with influencers, especially those passionate about language learning or travel. Influencers offer access to a built-in audience that already trusts their recommendations. By working with influencers who align with your institution’s values, language schools can reach potential students who may not have been aware of your programs.
An effective influencer marketing campaign for a language school might include sponsored posts where the influencer shares their language learning journey, highlighting the value of enrolling in formal programs. Schools can also consider offering affiliate programs, allowing influencers to earn commissions for every student who enrolls through their recommendation.
Utilizing Data Analytics to Refine Advertising Campaigns
Data-driven decision-making is at the heart of successful digital advertising. Language schools must continually analyze their campaign’s performance to ensure they’re reaching the right audience and achieving optimal results. Tools like Google Analytics and Facebook Insights can provide valuable insights into which ads are performing well and which need to be adjusted.
For example, schools can track metrics like click-through rates, conversion rates, and the cost per lead to determine the effectiveness of their campaigns. By continuously monitoring these metrics, schools can make data-driven decisions that maximize their return on investment. Adjustments might include refining audience targeting, improving ad copy, or reallocating the budget to the platforms that yield the highest returns.
Offering Free Trials or Sample Lessons to Convert Prospects
One of the most effective ways to convince prospective students to enroll in your language learning program is by offering a free trial or sample lesson. Language learning can be an intimidating prospect, and many students may hesitate to commit without knowing what to expect. By offering a no-obligation sample lesson, schools give potential students a taste of the learning experience, which can be enough to convert them into paying students.
This strategy works particularly well in digital advertising campaigns where schools can drive traffic to a landing page offering the free trial. Ads promoting a “try before you buy” approach can alleviate apprehension about committing to a full program.
Source: WuKong Education Online | YouTube
Example: WuKong Education Online offers a trial class to attract their prospects. Trials are an excellent way to convert leads and are particularly effective for online academies.
By implementing these language learning advertising strategies, your school can significantly enhance the effectiveness of your digital advertising campaigns. At Higher Education Marketing, we believe that understanding the unique needs of language learners, leveraging innovative tools, and continuously refining your approach is key to driving enrollment and building lasting connections with students.
Want to create successful ad campaigns?
Request a Free paid advertising consultation.
Frequently Asked Questions
Question: Can you target by language on Google Ads?
Answer: Yes! Google Ads allows advertisers to create campaigns that specifically target users based on the language settings of their browser or device. You can set up your ads to appear in multiple languages, ensuring that they reach potential students who speak those languages. Additionally, you can create language-specific ad copy and landing pages, enhancing the relevance of your campaigns.
Question: How does language impact advertising?
Answer: Simply put,An ad aimed at professionals wanting to learn English for business purposes should be crafted differently from one targeting students hoping to improve their French skills before an international exchange. This approach ensures the content resonates more deeply with potential students, increasing the chances of conversion.
How can online learning programmes help tackle systemic global injustices with creative pedagogies? How can universities build effective educational environments and pedagogies to support critical thinking and vigorously challenge contemporary forms of racism, colonialism and inequity?
These are some of the questions I have reflected on over the past almost 14 years of teaching at the University of Edinburgh. In 2011, I embarked with colleagues at the School of Social and Political Science to develop our school’s first fully online distance learning MSc postgraduate programmes, partnering with an interdisciplinary team spanning the three Colleges of the University to co-create and co-teach the MSc in Global Challenges. Addressing global development, health and environmental inequalities, with case studies spanning an array of countries, this programme had students from all over the world. The insights and trajectories of our students have been deeply inspirational – many of our students have gone on to do PhDs, work with United Nations organisations, embassies, non-governmental and humanitarian organisations and work in other kinds of practitioner and research careers. In this blog I reflect on the philosophy of the teaching and learning approach we have nurtured – and associated critical conversations about pedagogy.
We had support from a Principal’s Teaching Award (PTAS) to explore student learning experiences and reflect on our teaching practices, and in 2016 we published an article: ‘Decolonising online development studies? Emancipatory aspirations and critical reflections–a case study’. At the time, it was one of the few critical pedagogy studies to think through ‘international development’ teaching and the risks of replicating colonial logics in online learning modalities (and how to try to counter these). It proposed a critical framework for analysis that took into account barriers to social inclusivity – including the politics of language – that shaped participation dynamics in the programme. It also considered debates regarding critical development course content, rethinking possibilities for bridging counter-hegemonic development scholarship with practice-oriented approaches in a range of social contexts. Our analysis unpacked tensions in tackling intertwined institutional and pedagogic dilemmas for an agenda towards decolonising online development studies, positioning decolonisation as a necessarily unsettling and contested process that calls for greater self-reflexivity.
Some years ago online learning initiatives were treated with suspicion as a technology craze that could not truly build effective communities of critical learners. This is no longer the case, generally speaking. Our online students have carved out sophisticated learning paths while interacting with ambitious courses – sometimes in live discussions and sometimes in asynchronous discussions that built incredible communities of practice. But there are important online learning-specific pedagogic points to keep in mind, as course instructors craft and adapt approaches to support individual and group learning.
One is the risk of re-entrenching problematic dynamics of imperial knowledge production, even when intentions are to do exactly the opposite. There is a need to ensure that online learning platforms grapple with colonial legacies and tendencies – including biases that are easily replicable in virtual technology platforms. It is increasingly recognised that ‘decolonising’ is not simply a matter of ‘bringing in’ authors from Global South countries in reading lists. It is also a matter of ensuring that the underpinning pedagogies, assignments, and learning strategies themselves tackle systemic biases that have often shaped the field of ‘international development’ – and doing so from the outset. This may mean inviting students into at-times uncomfortable conversations about ways of understanding histories of dispossession, or ways of thinking about and governing societies; and ensuring that early course activities trouble assumptions – including about what ‘development’ is/means to different people and whose values are prioritised or overlooked. Some students might not normally read the writings of those who fought during liberation wars against colonialism, for example, but might find such readings different and transformative. There are a range of other possibilities, too, from changing the way that case studies are framed – for example, starting with stories of heavily oppressed peoples instead of starting with the technocratic logics of United Nations and government reports.
Despite global talk of ‘decolonisation,’ there has been a tendency for globally renowned development academics from wealthy countries to dominate reading lists. We have tried in our courses to challenge this – and ensure that activity-focused coursework and online case studies challenge hegemonic assumptions in mainstream policy literature and development discourse. Some of the reflections on our pedagogy were also discussed in a wider influential review article by Shahjahan et al (2022) entitled ‘”Decolonizing” curriculum and pedagogy: A comparative review across disciplines and global higher education contexts’, which notes that ‘decolonization’ has been very differently treated by different educators. Our pedagogy work has also been part of a wider conversation in the scholarly literature on how “precautions need to be taken when incorporating non-Western knowledges into Western universities to avoid mishearing, misrepresenting, exploiting, and decontextualizing them” (Lau and Mendes, 2024; see also Spiegel et al, 2024).
Relatedly, there is a need to be cautious of ideas about “transfer of knowledge” and instead to embrace values built on reciprocal sharing of knowledge in educational practices (see also Parmentier, 2023). Furthermore, attempts at decolonising development education requires attention to the link between learning strategy and wider institutional practices, including heeding inequities in admissions processes and language barriers in higher education. Our work in developing new online learning pedagogies is just part of the story; we have also been interacting closely with university admissions offices on strengthening approaches to make admissions more inclusive. This has included greater recognition of practitioner qualifications and also, significantly, some modifications in how English language testing requirements were addressed in some of the countries affected. This was especially important in contexts where applicants had demonstrable English language proof, from institutional and/or university experiences, but lived far from test centres and could not afford testing.
Our article ‘Decolonising Online Development Studies?’ had a question mark in the title, alluding to the ambiguity of interpretation and the uncertainties that may play out over time. It was cited in other PTAS-awarded studies led by other staff members at UoE, supporting further analysis of specific techniques for building online learning communities (see Wood et al, 2021) How these ideas are to be taken forward is an ethically important conversation that relates to the very core of what education seeks to do, requiring ongoing attention to the interplay of values, philosophies, curricula and teaching techniques.
Dr Sam Spiegel is the director of the Global Challenges MSc programme at the University of Edinburgh, where he serves as the Deputy Director of Research for Knowledge Exchange and Impact at the School of Social and Political Science. He is also a senior lecturer at the Centre of African Studies and has published extensively with colleagues in Zimbabwe and in other regions of the world on migration, displacement, borders, critical pedagogy and social change.
Embracing a “One School” Approach for a Better Student Experience
Let’s draw a line in the sand. On one side, we have a university campus and its on-ground offerings. On the other side, we have the digital higher education space and the online programs that live within it.
Traditionally, this line has been stark and rigid, with universities treating the two modalities as separate entities with dedicated teams, technology, systems, budgets, and strategies.
The initial separation was, in part, driven by the perception of online education as a lesser counterpart to its on-ground equivalent. This view may have held some truth in the early stages of digital learning. But the division has come with a cost, as institutions have had to do double the work, which is inefficient.
We can all see that significant changes are underway. Traditional educational boundaries are fading, with online learning gaining respect and sophistication. There are online programs that outpace their on-ground counterparts in quality and rigor. We’re looking at a future where traditional, hybrid, and online modalities are integrated, balancing both quality and accessibility.
As we leave the comfort of land and head out to sea, embracing a holistic approach is the way forward for universities.
Separation Comes at a Cost
The traditional division between on-ground and online learning modalities increases costs and complicates operations for institutions, weakening their ability to present a unified, powerful brand to prospective students. Here are a few of the pain points:
Fragmented Systems
Multiple Platforms: Utilizing different customer relationship management (CRM) systems, student information systems (SIS), and learning management systems (LMS) introduces inefficiencies. Each platform requires its own set of training, maintenance, and integration protocols. Those protocols often don’t integrate well, either.
Increased Costs: The need to support various tech stacks and administrative systems significantly drives up operational costs, as resources are duplicated across the board.
Conflicting Marketing Strategies
Brand Fragmentation: With separate marketing teams for its on-ground and online programs, an institution risks sending mixed messages to potential students. This can lead to brand dilution and confusion about what the university stands for.
Measurement Challenges: Disparate strategies make it difficult to track and analyze the effectiveness of marketing efforts. This makes the decisions on where to invest marketing dollars effectively difficult.
Diluted Resources
Split Focus: Dividing an institution’s time, talent, and budget between its on-ground and online initiatives means neither receives the full investment needed to thrive. This can result in underperforming programs that fail to meet their potential.
By managing resources under one unified strategy, universities can maximize the impact of their educational offerings, ensuring that both online and on-ground programs benefit from full institutional support and cohesion.
Advances in Online Learning Have Closed the Quality Gap
Technology is rapidly advancing, and higher ed is keeping pace with the changes. As institutions become more skilled at applying learning technologies, the following shifts have occurred:
Tech Innovations: Cutting-edge technologies have enabled more interactive and engaging learning environments. Tools such as virtual reality, augmented reality, and artificial intelligence (AI) are being used to enhance classroom interactions and provide personalized learning experiences at scale.
Instructional Design: Modern instructional design tailors course content for digital consumption, optimizing learning outcomes. This involves structuring courses to leverage digital tools effectively, ensuring that the quality of online learning is equal to that of traditional classroom learning.
Faculty Training: Universities have increasingly invested in training faculty to excel in online settings. This includes equipping them with the skills to use digital tools effectively and to engage students who are not physically present.
Today, online courses match on-ground courses in their rigor and depth and offer the flexibility and accessibility that modern students demand. It’s a win-win. The shift isn’t just about maintaining academic standards; it’s about enhancing them to make education more inclusive and adaptable to students’ varied lifestyles.
The Case for a “One School” Strategy
As the distinction between online and on-ground academic quality becomes murkier, more universities are beginning to embrace a “one school” strategy. This holistic approach integrates online and on-ground modalities into a single, unified brand, ensuring a seamless and coherent student experience.
It’s kind of like how my son doesn’t see the athletics department, student advising, and his faculty members as being on different teams with different budget sources. They all make up one thing — his university and the way it feels to be a student.
By operating under a single brand, universities can streamline their processes, unify their messaging, and bolster their identity, enhancing their appeal in a competitive educational market. The unified brand experience provides students with a consistent set of resources and support mechanisms, which proves crucial in building trust and satisfaction.
The shift toward a one school strategy also aligns with the evolving preferences and expectations of students, particularly their growing desire for flexible learning environments. Modern students increasingly favor hybrid experiences — asynchronous learning modules combined with synchronous meetings. This allows them to manage their schedules while benefiting from real-time interactions.
Adopting this approach not only improves the overall experience for students but also positions institutions to more effectively manage their resources, enhance their operational efficiency, and strengthen their academic offerings across the board, redefining the educational experience to be more inclusive and adaptable to today’s learners.
Adopting a one school approach helps universities accomplish goals such as the following:
1. Establish a Unified Systems and Technology Stack
Currently, the existence of different application systems for different modalities often leads to disparate experiences and management challenges, increasing the risk of students falling through the cracks. A unified technology stack can address these issues, fostering a more integrated and seamless educational environment.
Using the same CRM and SIS systems across an organization can significantly streamline operations in all areas, from marketing through student retention. This unification not only reduces operational costs but also consolidates institutional data, enabling more effective tracking and support of student activities.
2. Create an Integrated Marketing Strategy
Universities often work with multiple marketing agencies that compete against each other using similar keywords but with slightly different visuals and landing pages. Bad idea. This not only dilutes the marketing efforts but also creates confusion for students who are comparing programs.
An integrated approach helps streamline these efforts, ensuring a cohesive, clear marketing message that effectively attracts and retains students.
3. Align Academic and Enrollment Calendars
A particularly troubling symptom of separate identities within a university is differing enrollment calendars for online and on-ground offerings. Online programs typically offer more start dates throughout the year.
With a single enrollment calendar, however, universities can eliminate this confusion and simplify the experience for students who might engage in both modalities. Additionally, as faculty members frequently teach in both online and on-ground formats, a unified calendar ensures that all students have equal access to faculty resources, regardless of the learning format.
A Note on Organizational … Resistance
While the theoretical benefits of integrating online and on-ground educational modalities are clear, the practical implementation can face organizational resistance. This stems from the “this is the way we’ve always done it” mindset, presenting real challenges in terms of system integration and cultural adaptation.
Addressing these challenges requires a strategic approach and readiness to tackle potential roadblocks. Here are a few things to keep in mind:
Data migration from separate systems can quickly become a miserable task. Institutions should consider a phased integration plan with substantial buy-in from technology teams. Prioritizing key areas and establishing a unified data strategy can streamline this process.
Faculty and staff who are accustomed to operating within separate models may have concerns about changes to their job roles, security, workload, and work quality. That’s natural. Engaging stakeholders early, providing clear communication, and offering comprehensive training are important for easing this transition.
Merging marketing strategies might initially increase confusion. A deliberate process beginning with a comprehensive brand audit can help align key messages and value propositions. Starting with a unified marketing plan that leverages institutional strengths can facilitate smoother consolidation, guiding teams toward a cohesive strategy.
You Don’t Have to Implement the One School Model Alone
Starting the journey toward overhauling the outdated model and creating a unified experience can be complex and challenging, but you don’t have to navigate it alone.
Archer Education is equipped to empower your institution at every step with our growth enablement approach, offering expert guidance in storytelling, technology, audience insights, and data analytics to support a seamless transition to the one school model. Then, once things are up and running, you’ll have the internal knowledge and capacities you need to cast us out to sea.
Contact us to learn more about how we can help you integrate your educational offerings and maximize the potential of your institution.
There is a looming skills deficit across all disciplines currently being taught in Universities today. The vast majority of degree programmes are, at best, gradual evolutions of what has gone before. At their worst they are static bodies of knowledge transmission awaiting a young vibrant new member of faculty to reignite them. Internal reviews are too often perfunctory exercises, seldom challenging the future direction of graduates as long as pass rates are sustained. That is until is to late and failure rates point to a ‘problem’ at a fundamental level around a degree design.
We, collectively, are at the dawn of a new knowledge-skills-cognition revolution. The future of the professionals has been discussed for some years now. It will be a creeping, quiet, revolution (Susskind and Susskind, 2017). Although we occasionally hear about some fast food business firing all of its front-of-house staff in favour of robotic manufacturing processes and A.I. Ordering services, the reality is that in the majority of contexts the intelligent deployment of A.I. to enhance business operations requires humans to describe how these systems operate with other humans. This is because at present none of these systems score highly on any markers or Emotional Intelligence or EQ.
Image generaed by Windows Copilot
Arguably it has become increasingly important to ensure that graduates from any and all disciplines have been educated as to how to describe what they do and why they do it. They need to develop a higher degree of comfort with articulating each thought process and action taken. To do this we desperately need course and programme designers to desist from just describing (and therefore assessing) purely cognitive (intellectual) skills as described by Bloom et.al, and limit themselves to one or two learning outcomes using those formulations. Instead they need to elevate the psychomotor skills in particular, alongside an increasing emphasis on interpersonal ones.
Anyone who has experimented with prompting any large language model (LLM) will tell you the language used falls squarely under the psychomotor domain. At the lowest levels one might ask to match, copy, imitate, then at mid-levels of skill deployment one might prompt a system to organise, calibrate, compete or show, rating to the highest psychomotor order of skills to ask A.I. systems to define, specify, even imagine. This progressive a type of any taxonomy allows for appropriate calibration of input and output. The ability to use language, to articulate, is an essential skill. There are some instructive (ad entertaining) YouTube videos of parents supporting their children to write instructions (here’s a great example), a skill that is seldom further developed as young people progress into tertiary studies.
Being able to assess this skill is also challenging. When one was assessing text-based comprehension, even textual analysis, then one could get away with setting an essay question and having a semi-automated process for marking against a rudimentary rubric. Writing instructions, or explanations, of the task carried out, is not the same as verbally describing the same task. Do we imagine that speech recognition technology won’t become an increasingly part of many productive job roles. Not only do courses and programmes need to be designed around a broader range of outcomes, we also need to be continuously revising our assessment opportunities for those outcomes.
References
Susskind, R., & Susskind, D. (2017). The Future of the Professions: How Technology Will Transform the Work of Human Experts (Reprint edition). OUP Oxford.
TORONTO – September 25, 2024 – Leading provider of higher education engagement solutions Top Hat announced today three new innovative additions to its platform’s growing AI capabilities that further the company’s mission of empowering evidence-based learning.
The new optional features are an extension of Ace, Top Hat’s AI-powered assistant launched in fall 2023, which has already been embraced by more than 40,000 educators and students to foster more impactful learning experiences. On top of helping educators quickly adopt proven teaching strategies and scaling personal support for students, Ace now provides new tools to help foster discussion and practice.
“Top Hat was founded as a technology company in 2009 with one mission: reimagine the lecture experience. Today, we are rethinking how AI can change the entire higher education experience,” said Maggie Leen, CEO of Top Hat. “Ace wasn’t designed to replace anyone or anything—it was designed to enhance connections between educators and students by facilitating the kinds of evidence-based learning that we know leads to improved outcomes. These new innovations further that capability, while continuing to give educators and institutions complete control over how Ace is used.”
AI-Generated Discussion Questions
First among the new features is the ability to use Ace’s AI-powered lecture enhancer to generate discussion questions in a few clicks, allowing educators to encourage more student interactions in classroom sessions. Ace generates the questions from educators’ own lecture slides, making it easy to use the proven strategy of low stakes, frequent assessments to drive student participation.
The discussion question generation option is available now to all Top Hat users.
Expanded Study Assistant Access
The availability of Ace’s study assistant feature has been expanded to all Top Hat users on desktop and in the mobile app. This gives all students access to the kind of personalized study support normally only available through a tutor, whenever and wherever they need it. Students are already using Ace to break down concepts, find guidance through difficult homework questions, and test their knowledge anytime and anywhere.
AI-Powered On Demand Practice Sessions
Ace’s new practice tool lets students independently test their knowledge, when they want and as often as they choose. Students simply start a quick practice session on the Top Hat mobile app, and Ace generates multiple choice questions based on the content in their assignment. They then get instant feedback so they can review their learnings and score in each session, helping build confidence in their understanding of the material.
Students can now generate practice sessions in Top Hat Interactive eTexts as well as additional content their instructor assigns.
What do students think of learning with Ace? They love it. As Arielle Bennett, student at the University of Pennsylvania puts it, “Ace is AMAZING!! It answered all of my questions in a timely, detailed manner and provides the best summaries of the chapter. With Ace, I have taken more precise and in-depth notes and have better understood the course content as well.”
As the leader in student engagement solutions for higher education, Top Hat enables educators to employ proven student-centered teaching practices through interactive content and tools enhanced by AI, and activities in in-person, online and hybrid classroom environments. To accelerate student impact and return on investment, the company provides a range of change management services, including faculty training and instructional design support, integration and data management services, and digital content customization. Thousands of faculty at 750 leading North American colleges and universities use Top Hat to create meaningful, engaging and accessible learning experiences for students before, during, and after class.
