Tag: Digital

  • How does the higher education sector sustain digital transformation in tough times?

    How does the higher education sector sustain digital transformation in tough times?

    Higher education institutions are in a real bind right now. Financial pressures are bearing down on expenditure, and even those institutions not at immediate risk are having to tighten their belts.

    Yet institutions also need to continue to evolve and improve – to better educate and support students, enable staff to do their teaching and research, strengthen external ties, and remain attractive to international students. The status quo is not appealing – not just because of competitive and strategic pressures but also because for a lot of institutions the existing systems aren’t really delivering a great experience for students and staff. So, when every penny counts, where should institutions invest to get the best outcomes? Technology is rarely the sole answer but it’s usually part of the answer, so deciding which technologies to deploy and how becomes a critical organisational capability.

    Silos breed cynicism

    Digital transformation is one of those areas that’s historically had a bit of a tricky reputation. I suspect your sense of the reason for this depends a bit on your standpoint but my take (as a moderately competent user of technology but by no means expert) is that technology procurement and deployment is an area that tends to expose some of higher education’s historic vulnerabilities around coordinated leadership and decision-making, effective application of knowledge and expertise, and anticipation of, and adaptability to change.

    So in the past there’s been a sense, not of this exact scenario, but some variation on it: the most senior leaders don’t really have the knowledge or expertise about technology and are constantly getting sold on the latest shiny thing; the director of IT makes decisions without fully coordinating with the needs and workflows of the wider organisation; departments buy in tech for their own needs but don’t coordinate with others. There might even be academic or digital pedagogy expertise in the organisation whose knowledge remains untapped in trying to get the system to make sense. And then the whole thing gets tweaked and updated to try to adapt to the changing needs, introducing layer upon layer of complexity and bureaucracy and general clunkiness, and everyone heaves a massive sigh every time a new system gets rolled out.

    This picture is of course a cynical one but it’s striking in our conversations about digital transformation with the sector how frequently these kinds of scenarios are described. The gap between the promise of technology and the reality of making it work is one that can breed quite a lot of cynicism – which is the absolute worst basis from which to embark on any journey of change. People feel as if they are expected to conform to the approved technology, rather than technology helping them do their jobs more effectively.

    Towards digital maturity

    Back in 2023 Jisc bit the bullet with the publication of its digital transformation toolkit, which explicitly sought to replace what in some cases had been a rather fragmented siloed approach with a “whole institution” framework. When Jisc chief executive Heidi Fraser-Krauss speaks at sector events she frequently argues that technology is the easy bit – it’s the culture change that is hard. Over the past two years Jisc director for digital transformation (HE) Sarah Knight and her team have been working with 24 institutions to test the application of the digital transformation framework and maturity model, with a report capturing the learning of what makes digital transformation work in practice published last month.

    I book in a call with Sarah because I’m curious about how institutions are pursuing their digital transformation plans against the backdrop of financial pressure and reductions in expenditure. When every penny counts, institutions need to wring every bit of value from their investments, and technology costs can be a significant part of an institution’s capital and non-staff recurrent expenditure.

    “Digital transformation to us is to show the breadth of where digital touches a university,” says Sarah. “Traditionally digital tended to sit more with ‘digital people’ like CIOs and IT teams, but our framework has shown how a whole-institution approach is needed. For those just starting out, our framework helped to focus attention on the breadth of things to consider such as digital culture, engaging staff and students, digital fluency, capability, inclusivity, sustainability – and all the principles underpinning digital transformation.”

    Advocating a “whole institution approach” may seem counter-intuitive – making what was already a complicated set of decisions even more so by involving more people. But without creating a pipeline of information flow up, down and across the institution, it’s impossible to see what people need from technology, or understand how the various processes in place in different parts of the university are interacting with the technologies available to see where they could be improved.

    “The digital maturity assessment brought people into the conversation at different levels and roles. Doing that can often show up where there is a mismatch in experience and knowledge between organisational leaders and staff and students who are experiencing the digital landscape,” says Sarah.

    Drawing on knowledgeable voices whose experience is closer to the lived reality of teaching and research is key. “Leaders are saying they don’t need to know everything about digital but they do need to support the staff who are working in that space to have resources, and have a seat at table and a voice.”

    Crucially, working across the institution in this way generates an evidence base that can then be used to drive decision-making about the priorities for investment of resources, both money and time. In the past few years, some institutions have been revising their digital strategies and plans, recognising that with constrained finances, they may need to defer some planned investments, or sequence their projects differently, mindful of the pressures on staff.

    For Sarah, leaders who listen, and who assume they don’t already know what’s going on, are those who are the most likely to develop the evidence base that can best inform their decisions:

    “When you have leaders who recognise the value of taking a more evidence-informed approach, that enables investment to be more strategically targeted, so you’re less likely to see cuts falling in areas where digital is a priority. Institutions that have senior leadership support, data informed decision making, and evidence of impact, are in the best place to steer in a direction that is forward moving and find the core areas that are going to enable us to reach longer term strategic goals.”

    In our conversation I detect a sense of a culture shift behind some of the discussions about how to do digital transformation. Put it like this: nobody is saying that higher education leaders of previous decades didn’t practice empathy, careful listening, and value an evidence base. It’s just that when times are tough, these qualities come to the fore as being among the critical tools for institutional success.

    Spirit of collaboration

    There’s a wider culture shift going on in the sector as well, as financial pressures and the sense that a competitive approach is not serving higher education well turns minds towards where the sector could be more collaborative in its approach. Digital is an area that can sometimes be thought of as a competitive space – but arguably that’s mistaking the tech for the impact you hope it will have. Institutions working on digital transformation are better served by learning from others’ experience, and finding opportunities to pool resources and risk, than by going it alone.

    “Digital can be seen as a competitive space, but collaboration outweighs and has far more benefits than competition,” says Sarah. “We can all learn together as a sector, as long as we can keep sharing that spirit of internal and external collaboration we can continue that momentum and be stronger together.”

    This is especially relevant for those institutions whose leaders may secretly feel they are “behind the curve” on digital transformation and experience a sense of anxiety that their institution needs to scramble to “catch up”. The metaphor of the race is less than helpful in this context, creating anxiety rather than a sense of strategic purpose. Sarah believes that no institution can legitimately consider itself “ahead of the curve” – and that all should have the opportunity to learn from each other:

    “We are all on a journey, so some might be ahead in some aspects but definitely not all,” says Sarah. “No-one is behind the curve but everyone is approaching this in a slightly different way, so don’t feel ‘we have to do this ourselves’; use networks and seek help – that is our role as Jisc to support the sector.”

    Jisc is hosting Digifest in Birmingham on 11-12 March – sign up here for online access to sessions.

    Source link

  • 6 recommendations for AI in classrooms

    6 recommendations for AI in classrooms

    Key points:

    As states move forward with efforts to adopt artificial intelligence, the nonprofit Southern Regional Education Board’s Commission on AI in Education has released its first six recommendations for schools and postsecondary institutions.

    Because of its broad membership, regional breadth, early creation and size, SREB President Stephen L. Pruitt said the commission is poised to produce critical recommendations that will inform not only Southern education decision makers but those throughout the nation.

    “AI is fundamentally changing the classroom and workplace,” Pruitt said. “With that in mind, this commission is working to ensure they make recommendations that are strategic, practical and thoughtful.”

    The commission is set to meet for another year and plans to release a second set of recommendations soon. Here are the first six:

    Policy recommendation #1: Establish state AI networks
    States should establish statewide artificial intelligence networks so people, groups and agencies can connect, communicate, collaborate and coordinate AI efforts across each state. These statewide networks could eventually form a regional group of statewide AI network representatives who could gather regularly to share challenges and successes.

    Policy recommendation #2: Develop targeted AI guidance
    States should develop and maintain targeted guidance for distinct groups using, integrating or supporting the use of AI in education. States should include, for example, elementary students, middle school students, high school students, postsecondary students, teachers, administrators, postsecondary faculty and administrators and parents.

    Policy recommendation #3: Provide high-quality professional development
    State K-12 and postsecondary agencies should provide leadership by working with local districts and institutions to develop plans to provide and incentivize high-quality professional development for AI. The plans should aim to enhance student learning.

    Policy recommendation #4: Integrate into standards & curricula
    States should integrate into statewide K-12 standards and curricula the AI knowledge and skills students need to prepare them for success in the workforce.

    Policy recommendation #5: Assess local capacity and needs
    States should develop and conduct AI needs assessments across their states to determine the capacity of local districts, schools and postsecondary institutions to integrate AI successfully. These should be designed to help states determine which institution, district or school needs state support, what type of support and at what level. 

    Policy recommendation #6: Develop resource allocation plans
    States should develop detailed resource allocation plans for AI implementation in schools, school districts and institutions of postsecondary education to ensure that the implementation of AI is successful and sustainable.
    These plans should inform state fiscal notes related to education and AI.

    The 60-plus member commission was established in February of 2024. Members include policymakers and education and business leaders throughout the 16-state SREB region.

    For more information about the commission please see the following links:

    Latest posts by eSchool Media Contributors (see all)

    Source link

  • AI in K-12 instruction: Insights from instructional coaches

    AI in K-12 instruction: Insights from instructional coaches

    Key points:

    As artificial intelligence (AI) becomes an integral part of modern education, instructional coaches play a pivotal role in guiding teachers on its implementation, bridging the gap between emerging educational technologies and effective classroom practices.

    As trusted mentors and professional development leaders, they guide teachers in implementing AI tools thoughtfully, ensuring that technology enhances student learning while aligning with pedagogical best practices. This article briefly synthesizes responses from instructional coaches regarding their experiences, challenges, and recommendations for integrating AI into K-12 education.  

    Ten instructional coaches, all with advanced degrees, had the following insights into the instructional use of AI in K12 education. They all have more than 10 years of experience in education and work across all three types of school environments: urban, suburban, and rural.

    The coaches reported that AI is used for various instructional purposes. The most-cited applications included providing feedback on student work, creating professional development materials, supporting writing and content generation, creating course content, and enhancing accessibility for students with special needs. Many coaches note that AI tools assisted in grading assignments, offering real-time feedback, and supporting differentiated instruction. AI-powered feedback helps teachers provide more personalized responses without increasing their workload.  Regarding professional development, AI is being used to generate training content for teachers, ensuring they stay updated on educational trends. Coaches are leveraging AI to curate research, synthesize best practices, and develop instructional strategies tailored to their schools.  They encourage teachers and students to utilize AI for brainstorming, outlining essays, and improving writing mechanics.  

    Perceived impact of AI on instruction 

    The vast majority of instructional coaches expressed positive expectations regarding AI’s potential to reduce educator workload, create personalized learning experiences, and improve access for students with disabilities. However, perspectives on AI’s overall impact on education varied. While most believe AI has positively influenced instruction, a few remain cautious about its potential risks.  One coach suggested that allowing students to utilize the tools in a structured setting and teaching them to use AI as a tool is one of the biggest potentials for generative AI in education. About three-fourths of coaches feel that AI will reduce teacher workload by automating repetitive tasks such as grading and data analysis.

    Concerns about AI in education 

    While AI presents numerous benefits, instructional coaches also raised concerns about its potential drawbacks, including ethical dilemmas, student engagement challenges, and equity issues. Despite its advantages, instructional coaches identified several challenges and ethical concerns. They worry some students will use AI tools without critically engaging with the material, leading to passive learning and an overreliance on generative tools. Some had concerns that AI-generated content could reduce the need for creativity and independent thought. Coaches worry that AI makes it easier for students to plagiarize or rely on generated answers without truly understanding concepts which can negatively impact academic integrity. Coaches cite technical challenges as well. Educators face issues with AI tool reliability, compatibility with existing learning management systems (LMS), and steep learning curves. The coaches mentioned that some schools lack the infrastructure to support meaningful widespread AI integration. 

    Several ethical and privacy concerns were mentioned. AI tools collect and store student data, raising concerns about data privacy and security–particularly with younger students who may be less aware or concerned about revealing personally identifiable information (PII). They mention the need for clear guidelines on responsible AI use to prevent bias and misinformation.

    Coaches emphasize the importance of verifying AI-generated materials for accuracy. They suggest teachers be encouraged to cross-check AI-produced responses before using them in instruction. They recommend robust integrating discussions on digital literacy, AI biases, and the ethical implications of generative AI into classroom conversations. Schools need to train educators and students on responsible AI usage. Some schools restrict AI for creative writing, critical thinking exercises, and certain assessments to ensure students develop their own ideas–an idea that coaches recommend. Coaches suggest embedding AI literacy into existing courses, ensuring students understand how AI works, its limitations, and its ethical implications. 

    Equity concerns are a serious issue for instructional coaches. Schools should ensure all students have equal access to AI tools. AI should be leveraged to bridge learning gaps, not widen them. Making sure all students have access to the same suite of tools is essential to create a level playing field for all learners. Instructional coaches generally agree that AI is not just a passing trend, but an integral part of the future of education. There is a concern that generative AI tools will reduce the human interaction of the teaching and learning process. For instance, interpersonal relationships are not developed with AI-based tutoring systems in the same way they can be developed and encouraged with traditional tutoring processes.

    The integration of AI in K-12 education presents both opportunities and challenges. Instructional coaches largely recognize AI’s potential to enhance learning, improve efficiency, academic integrity, and maintain human-centered learning experiences. As AI continues to evolve, educators must be proactive in shaping how it is used, ensuring it serves as a tool for empowerment rather than dependency. Future efforts should focus on professional development for educators, AI literacy training for students, and policies ensuring equitable AI access across diverse school settings.

    Latest posts by eSchool Media Contributors (see all)

    Source link

  • Carousel Digital Signage Integrates with CrisisGo to Empower Safer School Communities

    Carousel Digital Signage Integrates with CrisisGo to Empower Safer School Communities

    MINNEAPOLIS, MINNESOTA – Carousel Digital Signage announces a new technology partnership with CrisisGo that enables K-12 schools and businesses to deliver emergency alerts and other safety messages to digital displays with immediacy. The integration is enabled through an open API that triggers visual alerts, interactive maps and more to Carousel Cloud digital signage networks via the Common Alerting Protocol (CAP), a global standard that supports the digital exchange of emergency alerts and public warnings over multiple networks.

    CrisisGo’s Safety iResponse platform offers a comprehensive suite of advanced alerting software and tools that empower school districts to create safer and more secure learning environments. Its features include real-time alerting, incident management and parent notification, all of which combine to help schools respond to emergencies in an efficient and effective manner. The platform also immediately shares emergency alerts with local law enforcement when police assistance is needed.

    Direct integration of the two software platforms on a common IT network ensures consistent monitoring of incoming triggers from Safety iResponse to Carousel Cloud. Upon recognizing an incoming alert, Carousel Cloud disseminates the active alert as a priority for instant takeover of all  targeted screens. Upon resolution, Carousel Cloud immediately removes the alert and resumes normal operations, eliminating the need to schedule expiration times or manually clear the system. That accelerates the important process of reunification to ensure all students, teachers and other staff members are accounted for and safe.

    “Carousel Cloud’s ability to recognize an all-clear message is a differentiator from other digital signage solutions that we have evaluated,” said Jacob Lewis, Chief Security Officer, CrisisGo. “Carousel Cloud will also recognize the type of event our system is addressing and exactly where the alerts need to go, which could be select screens, schoolwide, or across an entire multi-campus network. This seamless interoperability represents an important step in our multimodal strategy for mass notification, which also includes delivery to all computers and mobile devices that are connected to our software.”

    The CrisisGo partnership represents the latest technology integration between Carousel Digital Signage and emergency alerting platforms aimed at strengthening school safety in K-12 environments. Lewis says that while K-12 remains the top priority for CrisisGo’s integrated solution with Carousel, he anticipates potential expansion into other verticals including corporate enterprise and manufacturing.

    “Our collaboration with CrisisGo represents the next step in our efforts to keep students and faculty informed, safe and resilient across all grade levels,” said Eric Henry, SVP of Business Architecture, Carousel Digital Signage. “Carousel Cloud’s open platform enables clean and reliable interoperability with CrisisGo, and our common integration with the CAP protocol ensures immediate dissemination of important visual alerts that will help school districts keep all campuses safe and secure.”

    About Carousel Digital Signage

    Carousel is Digital Signage Content Management Software that is easy to use, scalable, and reliable. With a deep feature set and strong technology partnerships Carousel gives you the most value in digital signage. Carousel Digital Signage is a division of Tightrope Media Systems. You can reach the Carousel team at (866) 866-4118, or visit  www.carouselsignage.com.

    About CrisisGo

    CrisisGo has been leading the K-12 industry since 2013, setting the standard for school safety. Our comprehensive emergency and safety management platform empowers schools with real-time alerting, incident management, visitor management, threat and behavioral intervention features, and reunification solutions. CrisisGo also offers comprehensive training to equip staff and teachers with handling emergencies. CrisisGo consistently innovates to enhance K-12 security, partnering with educators and administrators to create safe and nurturing learning environments and redefining school safety for a brighter future in education.

    eSchool News Staff
    Latest posts by eSchool News Staff (see all)

    Source link

  • 5 of the biggest education trends for 2025

    5 of the biggest education trends for 2025

    Key points:

    As we welcome a new year, educators and industry leaders are excited to discover the biggest education trends for 2025. The past few years have been characterized by fresh and innovative solutions for learning, as well as transformative, technology-forward approaches to education.  

    Each year, we like to look ahead and anticipate the biggest upcoming education trends. There are many topics education professionals can expect to be at the center of the conversation in 2025–from new perspectives on artificial intelligence for education to the emergence of nontraditional school models amid an increasingly competitive enrollment environment. 

    For 2025, schools and districts are focused on making learning more engaging for students, creating a more positive environment for educators, and transforming school culture to meet the diverse needs of the school community. As schools work to accomplish these goals, we expect to see an expansion of AI and other emerging technologies in the classroom, enhanced professional development and support for teachers, and more individualized learning opportunities for students. 

    Here are five of the biggest education trends for 2025: 

    1. Nontraditional school models 

      Everything from career opportunities, technology, and the world around us has changed significantly over the past decade, yet the traditional model of public schools in the U.S. has remained largely unchanged for generations. As this industrial-age school model persists, many students feel bored and disengaged with their learning.  

      When the COVID-19 pandemic caused school interruptions in 2020, many families decided it was time to pivot to new and nontraditional learning opportunities for their children. Since 2019, over 1 million students–the equivalent of one student from every class in the country–have left the conventional classroom to seek out different educational approaches and more innovative learning environments. The National Center for Education Statistics projects that public schools, including public charter schools, will lose an additional 2.4 million students by 2031.  

      Today’s students desire more individualized learning approaches, which empower them to use their creativity, explore their passions, and engage with their peers in more collaborative ways. In 2025, we will see a greater emergence of nontraditional school models that center student engagement, collaboration, and creativity, and prepare learners to graduate into a continually-evolving workforce.  

      Some of these emerging nontraditional education models include microschools, online and hybrid learning programs, and project-based or student-led schools, as well as long-established nontraditional school programs such as homeschooling, Montessori, and career and technical education schools. In 2025, we also anticipate that public schools will step up to meet the diverse needs of students through innovative approaches, mirroring some of the elements of these nontraditional school models in order to maintain enrollment, enhance engagement, and equip students with applicable career-ready skills. 

      2. Expanded use of AI in education 

        As we predicted last year, artificial intelligence (AI) has become prevalent in the educational space, and this emerging technology shows no sign of stopping its rapid growth as we make our way into 2025. This year, we expect the conversation around AI to shift, reflecting a more widespread acceptance of the technology as a beneficial tool to enhance education and productivity. 

        In 2025, schools will continue to integrate more AI into the curriculum, guiding students to use it appropriately to enhance their learning. Many schools and districts have already developed formal AI school policies and modified student codes of conduct to ensure safe, effective, and ethical use of AI tools in the classroom.  

        Furthermore, many educators are now taking the initiative to incorporate AI tools into their lesson plans to help students build familiarity with the technology. Introducing students to AI in a safe and controlled environment enables them to learn how to use it effectively and ethically. Equipping students with foundational skills in AI is already regarded as an essential skill set for college and many careers. 

        Because AI is a fairly new technology for everyone, including educators, we anticipate that more schools will implement AI professional development opportunities this year, enabling teachers to deliver more effective AI instruction. Some schools are also beginning to employ AI tools for administrative productivity, which will require training and guidance to ensure educators and staff can successfully integrate these tools into their work. 

        3. Targeted support for educators  

          Over the past five years, many districts have been focused on allocating Elementary and Secondary School Emergency Relief (ESSER) funding to implement new educational programs and tools, support student wellbeing, and overcome learning loss. Now that the final ESSER deadline has passed, 2025 will see schools and districts shift their attention to providing targeted support directly to educators.  

          With all of the new technology, refreshed learning spaces, and updated curriculum districts have recently introduced, professional development is essential to ensure effective implementation of these enhancements. In 2025, schools will incorporate new professional development programs that empower educators to foster engaged learners. By providing the tools and resources teachers need to be successful, schools can help educators improve their productivity and attain professional goals, while still keeping teacher wellbeing as a top priority. 

          Teachers are the primary influencers of the K-12 educational experience, so supporting educators is a holistic approach that benefits the entire school community. To address rising workloads, schools will implement new tools and strategies to support teacher efficacy and wellbeing. Some schools are even piloting automated and AI-powered technologies to take repetitive and administrative tasks off teachers’ plates, freeing up invaluable time for them to connect with students and focus on teaching.  

          Additionally, districts have begun to recognize the importance of a healthy work-life balance, as many teachers have left the profession over the past several years. In 2025, districts will continue to explore ways to cultivate a more positive job experience for teachers. Teachers want solutions for student behavioral issues, more attentive leadership teams, and more manageable workloads. Schools will work to improve these matters, while maintaining aspects of the job teachers value most, including school culture, opportunities for professional learning and certifications, and STEM and arts programs. 

          4. A focus on school and district culture 

            With a growing list of education options, students and their families are seeking out learning environments that not only provide high-quality curriculum and resources, but also align with their values and prioritize school-home communication. In this increasingly competitive enrollment environment, cultivating a positive culture and connected school community are the qualities that make schools stand out.  

            Funding and resources are directly related to the number of students at each school, so cultivating an inviting school culture is key. In 2025, schools and districts will take time to refine their school brand in order to attract and maintain students. School leaders will focus on creating more opportunities to engage with students and families, implementing new communications tools, initiatives, and events that bring the school community together. 

            In the past few years, some K-12 administrators have piloted mobile teaching stations to increase their visibility and daily impact throughout their school. We anticipate more school leaders will embrace this approach in 2025, enabling them to build stronger relationships with students and teachers. By working from mobile workstations, administrators can directly engage with students and staff, making face-to-face connections on a daily basis. Frequent positive interactions with school leadership help students, teachers, and families stay engaged with the school community, promoting a culture of connection and support. 

            5. Universal design for learning 

              Today’s students are making more choices about how and where they want to learn than ever before. Universal design for learning (UDL) promotes achievement among diverse student bodies by giving each student access to resources and environments that help them learn. Accessibility goes far beyond ADA compliance, and schools are recognizing this through the application of UDL across the learning experience. Understanding the diverse needs of students is crucial for creating learning experiences that are inclusive and supportive. 

              In 2025, UDL will be at the center of creating comfortable and engaging learning environments that accommodate all students’ needs. For instance, more schools are implementing sensory spaces, ensuring neurodiverse learners have a safe and comfortable space to self-regulate throughout the school day. These spaces don’t just serve neurodivergent students–all students benefit from having areas at school that are dedicated to supporting wellbeing. 

              As in previous years, accessibility and equity will continue to be prominent topics in 2025, but the conversation will pivot to focus on ways UDL can positively impact curriculum. UDL emphasizes providing students with multiple, flexible types of engagement, different ways of presenting information, and multiple ways to demonstrate their understanding in the classroom. This practice supports students who are neurodivergent and/or experience learning challenges, but also improves the learning experience for neurotypical students. 

              Latest posts by eSchool Media Contributors (see all)

    Source link

  • MackinVIA Earns Prestigious Platinum Modern Library AwardFrom LibraryWorks For Its 10th Consecutive Yea

    MackinVIA Earns Prestigious Platinum Modern Library AwardFrom LibraryWorks For Its 10th Consecutive Yea

    Burnsville, MN – January 16, 2025 – Mackin, a leader in providing print and digital
    educational resources for PK-12, is proud to announce that its free digital content management platform, MackinVIA, has earned the Platinum Award in LibraryWorks’ 10th annual Modern Library Awards (MLAs). This prestigious accolade marks MackinVIA’s 10th consecutive win, solidifying its position as a top choice for digital content management in schools worldwide.

    The MLAs, which celebrate the best products and services in the library industry, are awarded based on an unbiased voting process involving over 80,000 librarians from public, K-12, academic, and special libraries. Judges evaluated submissions on a range of criteria, including functionality, value, and customer service. MackinVIA received an outstanding score of 9.25, a testament to its continued excellence and innovation.

    “We’re honored to receive the Platinum Award for the 10th year in a row,” said Troy Mikell, Director of Marketing and Communications at Mackin. “Since launching MackinVIA over a decade ago, we’ve continually focused on creating a powerful, user-friendly platform for educators and students. Our relentless drive for improvement and exceptional customer service has fueled MackinVIA’s success, and it’s thrilling to see that effort recognized once again.”

    MackinVIA is accessible by more than 9 million students worldwide, providing access to over 4 million eBooks, audiobooks, read-alongs, databases, and video resources. Its digital platform offers a dynamic and comprehensive solution for PK-12 schools looking to streamline content management and improve student engagement.

    Jenny Newman, Publisher and MLA Program Manager, noted, “MackinVIA’s consistent excellence in functionality and service is what has kept them at the forefront of the industry for over 40 years. Their innovative approach continues to break barriers and set new standards.”

    About Mackin
    For over 40 years, Mackin has provided PK-12 grade libraries and classrooms with access to nearly 4 million printed and digital titles. The 24-time, multi-award-winning, digital content management system, MackinVIA, along with divisions Mackin Classroom, MackinMaker, Mackin Learning, and the brand-new, whole school resource management system, MackinVision, help to create a truly unique and robust educational resource company that schools and educators have relied on, year after year. For more information, visit www.mackin.com or call 800-245-9540.

    About LibraryWorks
    LibraryWorks helps library administrators make informed decisions regarding technology, automation, collection management, staffing, and other key areas that support efficient library operations. Their resources empower libraries to implement best practices, monitor trends, evaluate products and services, and more.

    About the Modern Library Awards (MLAs)
    The MLAs recognize outstanding products and services that enhance library operations and improve the user experience. Entries are judged by library professionals based on their relevance, functionality, and impact on the library sector.

    eSchool News Staff
    Latest posts by eSchool News Staff (see all)

    Source link

  • Resilience, flexibility and inclusion: digital transformation at The University of Manchester

    Resilience, flexibility and inclusion: digital transformation at The University of Manchester

    As Chief Information Officer, PJ Hemmaway is driving innovation at Manchester to future-proof the university and deliver the best possible day-to-day experience. In this recent interview with Melissa Bowden, Content Writer at Kortext, he shared insights on creating a sector-leading learning environment where everyone can thrive. PJ Hemmaway will be speaking at Kortext LIVE in Manchester on 6 February 2025: you can register here.

    Building resilient and flexible systems

    The University of Manchester has a bold ambition: to ‘be recognised globally as Europe’s most innovative university’. Since 2022, Hemmaway has been tasked with realising this vision, leading the institution’s digital transformation as Chief Information Officer.

    ‘As CIO, I have two core aims,’ he says. The first is ‘keeping the operational lights on’ so the university functions effectively now. The second is ensuring ‘we’re future ready – not just for one, three or five years, but for the next fifteen to twenty years’. For Hemmaway, this means making decisions that deliver long-term value, not just quick wins, and taking calculated risks.  

    Over the last two years, Hemmaway has been implementing several high-level technology strategies, all of which are underpinned by a focus on resilience and flexibility. One project has enhanced digital capabilities by laying ‘foundational building blocks’, such as a new enterprise service management system and a new integration platform, that ‘allow us to streamline workflows and improve access to services that align to our one university theme,’ he says.

    Hemmaway’s philosophy of ‘buy, don’t build’ is central to achieving his aims. ‘In the university sector, we’ve got very intelligent people who love to build things,’ he says, ‘but that creates technical debt, skills debt and data debt.’ Instead, he prefers a modular, scalable approach. ‘One of the reasons Manchester’s technology transformation has been so successful is that we’ve been modular and had small pilots – we’ve built on those and we’ve delivered’.

    Enhancing institutional intelligence

    The next stage of Hemmaway’s digital transformation strategy involves modernising Manchester’s existing data infrastructure. This means replacing older systems, which he prefers to describe as ‘heritage’ rather than ‘legacy’ technology. ‘I’ve got a lot of colleagues who implemented this technology,’ he explains, ‘and it’s part of our heritage as an institution’.

    Data is ubiquitous in higher education, yet many universities are still not leveraging it effectively. ‘As a sector, we’re not capitalising on the data we’ve got,’ says Hemmaway, ‘whether it’s research outputs or data from teaching, learning, and professional services ecosystems’.

    In response, Hemmaway is keen to foster a culture of data sharing. ‘Gone are the days where we want people to be holding their silos of data,’ says Hemmaway. Instead, by integrating data from multiple sources across the institution and then leveraging analytics tools, the university can benefit from powerful insights into areas like student retention, outcomes and wellbeing.

    Bridging the digital divide

    People are ‘at the heart’ of Manchester’s strategic plan, with its vision of students and colleagues working together ‘as one connected community’. For Hemmaway, a personal focus on equity and inclusion informs his stewardship of the university’s digital transformation too.

    He shares, ‘I come from a humble background but, thanks to my dad, I was very fortunate to have a computer in the late 80s’. When Hemmaway started his career in a bank, this early access gave him an advantage over colleagues who were still unfamiliar with the Internet.

    ‘It created an imbalance in terms of those that ‘could’ – a digital divide,’ he says. A similar gap is emerging now, with the rapid proliferation of generative AI tools. ‘It is critical to provide equitable access,’ Hemmaway states, ‘otherwise we’re going to see that digital divide again’. But access alone is not sufficient; institutions must help users develop digital confidence too.

    As part of this, Hemmaway encourages a risk-based culture of experimentation. ‘Most organisations are risk averse and they lose opportunities,’ he says. Instead, he has been selecting new products – including AI tools – and inviting colleagues to try them out in a trusted and supported environment. Feedback from these trials informs further product development.

    Successfully implementing new technology

    When asked for advice on technology adoption, Hemmaway emphasises collaboration. ‘My biggest piece of advice is to work with partners’, he says. For him, that means having a network of go-to peers and finding trusted vendors who understand the higher education sector.

    Hemmaway is now keen to explore partnering with Kortext, after seeing a demonstration of Kortext fusion – a unified strategic platform developed in collaboration with Microsoft. Following a conference, he was motivated to find a solution built on Microsoft Fabric and ‘I nearly broke my number one principle,’ he jokes. ‘I thought we were going to have to build it, not buy it’.

    However, the introduction to Kortext fusion was ‘serendipity’. Going forward, Hemmaway will be working closely with Kortext and Microsoft to explore how the platform can help Manchester to enhance data-driven decision-making and enhance the student experience. He adds, ‘this technology could also help me accelerate my digital-first strategy’, seeing it as a foundation to support flexible and inclusive education with equitable access for all.

    The benefits of a unified platform align with Hemmaway’s final thoughts. ‘The world is a complex place,’ he says, ‘and we need to simplify it’. For him, ‘simplification is a number one priority’ for successful digital transformation. Without this, he says, ‘we won’t be efficient, we won’t be flexible, and we won’t have inclusive education in a digital-first environment’.

    Join PJ, HEPI Director Nick Hillman and other education and technology expert speakers at a series of three events for HE leaders hosted at Microsoft’s offices in London, Edinburgh and Manchester during late January and early February. Find out more and register your free place here.

    Source link

  • Understanding Digital Marketing Strategy and Costs to Effectively Budget for Growth

    Understanding Digital Marketing Strategy and Costs to Effectively Budget for Growth

    In today’s digital-first world, higher education institutions are increasingly turning to digital marketing to educate, engage, enroll, and retain students. However, one of the key challenges that the campus decision-makers face is understanding the potential costs associated with digital marketing and how to effectively budget for growth.

    As someone deeply immersed in the world of digital strategy, I often find myself having the same conversation with campus leaders: how do we set realistic expectations about what it really costs to do effective digital marketing? And more importantly, how do we directly link those costs with your institution’s growth objectives? In this blog, I will highlight the key data-driven strategies for assessing ROI and how these strategies inform a strategic budget plan that strengthens your institution’s overall portfolio and drives sustainable growth.

    The importance of setting realistic expectations

    Success in higher education landscape, particularly when managing a large portfolio, is driven by a disciplined, metrics-oriented approach. From my experience, the institutions that excel are those that rely on crisp numbers, rigorously evaluate their plans ahead of time, and understand the value of projections and estimations. By leveraging detailed forecasts and aligning resources accordingly, we can navigate the complexities of enrollment growth with precision and confidence, always mindful that incremental progress, evaluated at every stage, is key to achieving long-term goals.

    Setting expectations means recognizing that significant results take time and careful planning. This translates to setting realistic growth expectations based on an understanding that reaching your enrollment goals will take multiple academic terms. When I am collaborating with our partners, we adopt a structured five year growth trajectory where Year 1 serves as the “foundational” phase, establishing the core infrastructure and strategic alignment. Year 2 is focused on “scaling,” optimizing initial investments to drive measurable growth. Years 3 and beyond are dedicated to “sustained value creation,” with a continuous focus on refining processes and maximizing returns through ongoing optimization and strategic enhancements. This phased approach allows for calculated risk-taking and ensures a clear path to long-term, scalable success.

    Chart showing 5-year projected growth for digital leads with 20%YoY growth

    Once we’ve set realistic expectations for our digital strategy, it’s crucial to ensure that every tactic -whether paid digital marketing, SEO, or creative content, all work together seamlessly to achieve your goals. These elements don’t function in isolation; rather, they complement each other to drive greater visibility, engagement, and, ultimately, enrollments. A well-rounded strategy that integrates SEO to boost discoverability, paid digital marketing for targeted reach, and compelling content to engage prospective students will create a strong foundation for success. By understanding how these components interrelate, you’ll be better equipped to assess their effectiveness and make data-driven adjustments as needed.

    From here, let’s dive into how digital strategy translates into budget planning and ROI. Understanding the interconnectedness of these key elements will help you allocate resources more efficiently and set a clear path for measuring the success of your investments.

    Connecting strategy to ROI and crafting a strategic budget plan for growth

    The connection between strategy and ROI is grounded in the ability to align your digital marketing efforts with measurable outcomes, and it all starts with the establishment of clear and precise enrollment goals. Prioritizing top programs ensures that marketing resources are directed toward the areas with the highest demand or growth potential, improving overall program performance. The right channel mix is crucial to reaching the right audience, maximizing visibility, and efficiently converting interest into applications. Monitoring data and optimizing it in real-time ensures that marketing efforts are continuously adjusted for maximum effectiveness, enhancing the likelihood of meeting targets and improving ROI. Finally, effective allocation based on application timing, seasonality projections, and market revisions allows for strategic adjustments in campaigns to account for fluctuating demands, ensuring marketing spend is optimized throughout the enrollment cycle. Collectively, these elements create a robust framework for maximizing ROI, ensuring that marketing investments lead to increased applications, conversions, and, ultimately, student enrollment.

    Graphic of connecting digital marketing strategy to ROI: Enrollment Goal Mapping, Program Prioritization, Channel Mix Strategy, Monitor&Optimize, App Deadlines and Scaling UpGraphic of connecting digital marketing strategy to ROI: Enrollment Goal Mapping, Program Prioritization, Channel Mix Strategy, Monitor&Optimize, App Deadlines and Scaling Up

    How do you craft a budget that supports your growth goals? Whether you are the decision-making authority or a decision influencer, here are the essential steps to craft a budget plan that aligns with your institution’s growth objectives and maximizes your enrollments:

    1. Define your enrollment goals in detail

    When you think of marketing costs, what comes to mind first? How much will it cost to meet your enrollment goals, right? So, your first step in planning a budget is to have your overall Enrollment goal (and, for graduate or online programs, a goal for every program) in front of you. With the goal (or program-level goals) in hand, determine what that means in terms of percentage growth from the current state. You may also have subsidiary goals like enhancing brand awareness, building more brand equity, or engaging alumni. If these are going to be part of your plan, they should also have tangible goals for what you are trying to do. Defining your enrollment goals helps you allocate your budget accordingly and measure ROI effectively.

    STRATEGY TIP

    Develop a “Goal Mapping” Scenario or you can say a Reverse Funnel (for each program). After you set enrollment goals (for the year or the term) you then need to understand the lead to enroll ratio. This will help you work backwards to determine how many accepted apps/admits will be needed, how many completed apps, how many submitted apps, and finally how many qualified leads will be needed. Based on the program category, dig deeper into what the Cost per Leads (CPL’s) are, based on industry benchmarks. That will help you calculate the estimated ad spend needed to generate those qualified leads.
    Goal Mapping for digital marketing: 1. Qualified Inquiry 2. Submitted Application 3. Completed Application 4. Admitted StudentGoal Mapping for digital marketing: 1. Qualified Inquiry 2. Submitted Application 3. Completed Application 4. Admitted Student

    A note on program-level goals: If you don’t have program-level enrollment goals for your online and graduate programs, finalize those as soon as possible. Until then, focus marketing on building brand awareness. It is likely that people in your own backyard could be less familiar with your program than you may think they are. Brand advertising will ensure that awareness rises so that when you have your program goals, you can build your campaigns on a higher level of familiarity with your institution. However, given that Google reports that 75 percent of graduate and online program searches don’t include an institution name, remember that branding alone will not be enough to fill your classes.

    Institutional example: When we began work with one of our partners nearly two years ago, they had not established program-level goals. So, in year one, we focused the largest portion of the budget on institutional awareness, with mini-campaigns focused on specific programs of importance to the institution. By the beginning of the second year, the institution had set program-level goals based on a greater understanding of market conditions. At that point, we began transitioning our campaigns to focus (ultimately 80 percent of the budget) on the programs with the “mini campaign” focused on continuing the brand equity efforts.

    2. Prioritize your programs

    It is highly unlikely that most institutions can spend marketing dollars on every program they offer. This means that in order to maximize the ROI of your marketing budget, you must prioritize your programs. But how? Take a data-driven approach, prioritizing programs for which you a) know there is market demand both among students and employers, and b) understand the competitor environment. These are the “cash cows” that will demonstrate the best ROI on your marketing spend and support the programs that, while not demonstrating significant market demand, are critical to the institutional mission.

    STRATEGY TIP

    Spreading a $100K marketing budget across 15 -20 programs will only dilute the ad spend, by spreading it too thin. Instead, identify the top 5-7 programs that have the greatest market demand and focus on them. Note that sometimes, the programs that seem most in need of a “marketing boost”, really aren’t. They are struggling because their market demand situation is not what it once was.

    Institutional example: A partner institution recently commissioned RNL to conduct a Program Prioritization and Positioning study focused on their current program mix. The goal was to take a data-driven deep dive into 12 programs vying for marketing dollars, with a focus on understanding student demand and employer needs in the region. The results indicated that while one of the programs they had planned to prioritize came out on top, two others that they hadn’t been planning to focus on also demonstrated strong demand, and one of the programs that they had questioned was confirmed as having weak local market demand.

    3. Determine your channel strategy

    Once you have prioritized your programs for marketing ROI, setting your channel strategy is pivotal. Personas (at the graduate and online levels developed for each program) dictate the channels on which you should focus. You don’t want (or need) to be present on every single channel just for the sake of “eyeballs.” Be mindful of the budget and how best to use it in order to maximize return, which can only be accomplished if you apply the personas that will inform you where your target student spend their “digital time.” So, for example, not every program may benefit from marketing on LinkedIn. Since it is expensive with a $10 minimum ad spend, a persona-based approach may indicate that other platforms are a much better match. But you can only do this if you know the characteristics of your audience, and that comes from the program personas.

    STRATEGY TIP

    The critical element in increasing marketing ROI is to engage the right students at the right time on the right channel, without spreading your budget too thin. In contrast, being too invested in any single channel exclusively or too long is also almost always the wrong strategy. There is always a point of diminishing returns as students cycle to different platforms, and you want to be sure to know where to go next before you approach that point by being able to tap into the next new thing.
    Chart of program and channel performance for different degrees and channels.Chart of program and channel performance for different degrees and channels.

    Institutional example: One of our prestigious campus partners was struggling with recent market shifts that resulted in an overall decline in applications. We dug into market and performance data to help them prioritize programs that had the highest lead-to-enroll ratios, lowest cost per acquisition, and good search volume with an eye to increasing marketing ROI and overall success. This approach not only helped regain their momentum at the top of the funnel but also generated strong conversion volume that exceeded goals and sustainably reduced cost per conversion. These changes benefited not only the marketing operation but were also felt by the call center, and further down the funnel where we saw an increase in applications.

    Talk with our digital and enrollment experts

    We’re to help you find the right digital marketing and recruitment strategies. Let’s set up a time to talk.

    Contact us

    4. Analyze data regularly and optimize with agility

    If (quality) content is king, data is queen! Sustained growth can only occur when data and insights are continuously incorporated into strategy. Analyzing performance data is crucial to understanding which programs and channels are yielding the largest numbers of applications and enrollments and, hence, generating the best return on ad spend (ROAS). This type of analysis allows for a data-driven approach to strategic pivots on how the marketing budget is allocated to ensure the highest ROI (or ROAS) across channels and the program portfolio. As the cost of marketing has risen, so has the need for marketers to make an effective case to senior leadership for additional marketing dollars. You can only do this if you can demonstrate that you are the best possible stewards of current resources.

    STRATEGY TIP

    As you continue to increase your campaign efficiency and success with the focus on ROI, your cost per lead will gradually start to go down – on average by 5 – 10 percent in year 2 and beyond. So, campaigns can generate more qualified leads efficiently over the years (for the same cost), thereby maximizing the return on your ad spend (ROAS). This helps you not just grow but also helps in building forecasts and projections for growth compounded over several years – and it also provides a strong ROI-driven basis for any requests you may need to make for additional funds elsewhere.
    Cost-per-lead trends over one year, showing how current CPL has been greatly reduced from the previous year.Cost-per-lead trends over one year, showing how current CPL has been greatly reduced from the previous year.

    A note on analytics platforms: The fact that resources have become increasingly scarce at the same time as marketing costs have skyrocketed has resulted, out of necessity, in more sophisticated tracking of ROI. If your internal systems are set up in the correct manner (or if you are working with a strategic partner like RNL) every lead can be tracked to its source, thereby allowing for the assessment of just how effectively each marketing dollar has been used.

    Institutional example: A prestigious campus partner was having challenges with converting leads to applications and enrollments. We reviewed their full-funnel data (compete with attribution percentages) and realized something wasn’t working. The top of the funnel was healthy, with good lead volume. However, down the funnel we saw that a disproportionate number of leads were not converting to apps and enrollments. As a result of the review and data analysis, we made a bold strategic pivot to shift significant budget allocations to the channel (Google search) that we could see was producing the greatest numbers of applications and enrollments. Without the data, solving the challenge would have been impossible. With the data, it was easy. Since we made this change, applications, and enrollments have consistently increased each academic period.

    Graphic showing two circle charts and the reallocation of channel spend from Facebook as the largest channel to Google Search as the largest channelGraphic showing two circle charts and the reallocation of channel spend from Facebook as the largest channel to Google Search as the largest channel

    Making sure that the top of the funnel strategy is guided by down funnel numbers is the KEY! Effective strategy must evolve through ongoing optimizations with thoughtful placements across diverse media platforms that are informed by performance data. Remember that the path to enrollment is rarely linear and an integrated media strategy allows you to provide a personalized message in the right place at the right time.

    5. Understand and account for seasonality/application timings/expansion

    Another aspect of the dynamic nature of the marketing process relates to the seasonality of lead flow – and subsequent enrollment. This requires flexibility to adjust your strategies based on real-time performance data collected throughout the year. For any program or institution, there are times of the year during which more or fewer leads are generated. Fully understanding these trends takes time; you can make preliminary judgments on when the lead volume is highest and lowest within one year, but multiple years will allow for greater certainty. As you build your capacity to track lead generation – and conversion throughout the funnel – by program and source – you can create visualizations that map these factors by month. They can be used to build monthly budget allocations like those presented below.

    Bar chart showing budget allocation over the year for search, social, display, retargetingBar chart showing budget allocation over the year for search, social, display, retargeting

    Institutional example: For one campus partner we used the annual performance data in an innovative way. Our data insights indicated that there was more market share to capture, by having the program leverage low cost per conversion at the top of the funnel at certain points in the year, and low cost per acquisition at the bottom at other points of the year. There was time to scale up both applications and enrollments. We developed a forecast plan to address the potential areas of opportunity, calculated the cost, and pitched it to the partner. Once approved, we moved with agility, and implemented additional ad spend on the top champion programs and frontloaded the budgets for the academic periods yielding the highest number of applicants and enrollments. With this, we were not only able to meet the qualified lead goal but also exceeded the enrollments by 19% for the following academic period.

    The lifetime value of the student

    As you budget for growth, it’s crucial to consider the lifetime value (LTV) of a student. LTV refers to the total revenue a student generates throughout their academic journey and beyond. This value encompasses tuition fees, ancillary revenues (like housing and meal plans), alumni donations, and increasingly in our era lifelong learning opportunities.

    Talk with our digital and enrollment experts

    We’re to help you find the right digital marketing and recruitment strategies. Let’s set up a time to talk.

    Contact us

    Source link

  • Despite being global leader, UK cannot afford to rest on its laurels in digital, AI and green skills

    Despite being global leader, UK cannot afford to rest on its laurels in digital, AI and green skills

    By Matteo Quacquarelli, Vice President of Strategy and Analytics at QS Quacquarelli Symonds.

    Across the globe, economies are grappling with skills and talent challenges. From talent saturation to workforce reskilling, each country is facing its own unique issues as it prepares for the evolution of the digital age.

    The QS World Future Skills Index, just launched, offers a detailed breakdown of the globe’s higher education systems, their links with industries and how countries are preparing for the next industrial evolution. Using exclusive QS data, it identifies where economies and countries need to align their higher education outcomes with the needs of industry in three key areas – green, AI and digital.

    The analysis delves into 81 economies and finds that UK higher education is currently one of the world’s best for cultivating students with the future skills business and industry are calling out for.

    It measures four indicators linked to skills like AI proficiency, digital literacy and environmental sustainability that will form the bedrock of the industries of tomorrow.

    Skills Fit measures how well countries are equipping graduates with the skills employers desire. In this, no country is currently better than the UK. Using data from both our own largest-of-its-kind QS Global Employer Survey and the World Bank Group, we identified that UK employers have the highest satisfaction rates with the skills graduates bring with them, anywhere in the world – but perhaps only for the time being.

    Additionally, the UK received top marks in the Academic Readiness dimension, measuring the preparedness of a country in regard to the future of work. The UK’s success in the QS World University Rankings by Subject allowed it to flourish here.

    However, the UK must not rest on its laurels. Higher education in other markets globally is innovating at a far more rapid rate than in the UK. The reputational strength of the UK – built on its history and tradition of delivering excellent teaching and learning – is unlikely to be the key driver of satisfaction going forward.

    The UK was slightly less successful than its closest rivals in the areas of Future of Work and Economic Transformation.

    Future of Work measures how well the job market is prepared to meet the growing demand for digital, AI and green skills, using 1Mentor data of over 280m job postings worldwide.

    Economic Transformation analyzes whether a country has the infrastructure, investment power, and talent available to transition to industries driven by AI, digital transformation, green technologies and high-skilled work. This indicator used data from the World Bank Group, UNESCO Institute for Statistics and the Education Policy Institute.

    This lower score is reflective of the slow-to-no economic growth seen in the UK over the past decade and the tightening of the public purse strings strangling investment in R&D and new business innovation (evidenced by decline not only in public but also private sector funding in the UK).

    The latest economic forecasts signal a further period of stagnation for the UK economy might be on the horizon.

    Just as the importance of investment in future skills cannot be understated, nor can the importance of higher education in AI breakthroughs and innovation.

    Funnelling research innovation down the value chain into industry has been the bedrock of economic innovation worldwide. Without Stanford University, there would be no Silicon Valley. In Germany, the universities of Stuttgart and Tübingen are key in the country’s Cyber Valley initiative. If Melbourne didn’t have its outstanding higher education institutions, the city would not hold the crown of tech capital of Australia.

    The QS Future World Skills Index highlights the example of South Korea, where there is a correlation between increasing numbers of young adults attaining tertiary education and GDP growth.

    The UK government’s new AI Opportunities Action Plan, announced earlier this week sets out a clear ambition strategy to maintain Britain’s position as one of the world’s AI superpowers and has been widely welcomed by industry.

    The prime minister says his government will make it easier for experts to come to the UK via its talent visas and for future leaders to learn here. Tens of thousands of additional AI professionals will be needed by 2030, he has said.

    The Government also wants to ‘increase its share of the world’s top 1,000 AI researchers’ and will launch an AI scholarship scheme to support 100 students to study in the UK.

    While the UK was also top in Europe for talent creation, with 46,000 students graduating from an AI-relevant higher education program ahead of Germany in terms of absolute numbers with 32,000, the UK is still behind Finland on a per capita basis. Without specific policy and commitment, the UK risks losing its leading position.

    The UK is missing ‘frontier conceptual, cutting-edge companies‘. DeepMind, the AI research laboratory, was one such company that was founded in the UK before being acquired by Google in 2014. But where was it established? The three co-founders meet while studying at University College London.

    The new AI Growth Zones the government has announced, with the first starting in Culham, will need to engage universities up and down the country. Higher education must also be closely involved in the Digital and Technology Sector Plan, which is set to be published in the coming months.

    The government has also previously pledged to become a green energy superpower. The QS Future World Skills Index suggests that both the UK’s job market and its higher education system is well set up to capitalise on that opportunity.

    To succeed, government policy, the needs of industry and higher education curricula must all align to create an environment where the country can succeed and be future-ready.

    Economies and higher education systems that invest in high-quality academic programmes in AI, digital and sustainability are setting themselves up for long-term success.

    For the full QS World Future Skills Index: https://www.qs.com/reports-whitepapers/world-future-skills-index

    The UK Spotlight is available here: https://www.qs.com/reports-whitepapers/uk-spotlight-qs-world-future-skills-index

    Source link

  • Call for Submissions for Special Edition – “Trends in the Use of Generative Artificial Intelligence for Digital Learning.” (Anthony Picciano)

    Call for Submissions for Special Edition – “Trends in the Use of Generative Artificial Intelligence for Digital Learning.” (Anthony Picciano)

     

    Dear Commons Community,

    Patsy Moskal and I have decided to be guest editors for Education Sciences for a special edition entitled,

    “Trends in the Use of Generative Artificial Intelligence for Digital Learning.” (See below for a longer description.)

    It is a most timely topic of deep interest to many in the academy. We would love to have you contribute an article for it. Your submission can be research, practitioner, or thought-based. It also does not have to be a long article (4,000-word minimum). Final articles will be due no later than July 1, 2025.

    You can find more details at: https://www.mdpi.com/journal/education/special_issues/6UHTBIOT14#info

    Thank you for your consideration!

    Tony

     

    Source link