Category: 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.

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  • How is artificial intelligence actually being used in higher education?

    How is artificial intelligence actually being used in higher education?

    With a wide range of applications, including streamlining administrative tasks and tailoring learning experiences, AI is being used in innovative ways to enhance higher education.

    Course design and content preparation

    AI tools are changing the way academic staff approach course design and content preparation. By leveraging AI, lecturers can quickly generate comprehensive plans, create engaging sessions, and develop quizzes and assignments.

    For instance, tools like Blackboard Ultra can create detailed course plans and provide suggestions for content organisation and course layout. They can produce course materials in a fraction of the time it would traditionally take and suggest interactive elements that could increase student engagement.

    AI tools excel at aligning resources with learning outcomes and institutional policies. This not only saves time but also allows lecturers to focus more on delivering high-quality instruction and engaging with students.

    Enhancing learning experience

    AI and virtual reality (VR) scenarios and gamified environments are offering students unique, engaging learning experiences that go beyond traditional lectures. Tools like Bodyswaps use VR to simulate realistic scenarios for practicing soft and technical skills safely. These immersive and gamified environments enhance learning by engaging students in risk-free real-world challenges and provide instant feedback, helping them learn and adjust more effectively.

    Self-tailored learning

    AI also plays a role in supporting students to tailor learning materials to meet their individual and diverse needs. Tools like Jamworks can enhance student interaction with lecture content by converting recordings into organised notes and interactive study materials, such as flashcards.

    Similarly, Notebook LLM offers flexibility in how students engage with their courses by enabling them to generate content in their preferred form such as briefing documents, podcasts, or taking a more conversational approach. These tools empower students to take control of their learning processes, making education more aligned with their individual learning habits and preferences.

    Feedback and assessment

    Feedback and assessment is the most frequently referenced area when discussing how reductions in workload could be achieved with AI. Marking tools like Graide, Keath.ai, and Learnwise are changing this process by accelerating the marking phase. These tools leverage AI to deliver consistent and tailored feedback, providing students with clear, constructive insights to enhance their academic work. However, the adoption of AI in marking raises valid ethical concerns about its acceptability such as the lack of human judgement and whether AI can mark consistently and fairly.

    Supporting accessibility

    AI can play a crucial role in enhancing accessibility within educational environments, ensuring that learning materials are inclusive and accessible to all students. By integrating AI-driven tools such as automated captioning, and text-to-speech applications, universities can significantly improve the accessibility of digital resources.

    AI’s capability to tailor learning materials is particularly beneficial for students with diverse educational needs. It can reformat text, translate languages, and simplify complex information to make it more digestible. This ensures that all students, regardless of their learning abilities or language proficiency, have equal opportunities to access and understand educational content.

    Despite the benefits, the use of AI tools like Grammarly raises concerns about academic integrity. These tools have the potential to enhance or even alter students’ original work, which may lead to questions about the authenticity of their submissions. This issue highlights the need for clear guidelines and ethical considerations in the use of AI to support academic work without compromising integrity.

    Another significant issue is equity of access to these tools. Many of the most effective AI-driven accessibility tools are premium services, which may not be affordable for all students, potentially widening the digital divide.

    Student support – chatbots

    AI chatbots are increasingly recognised as valuable tools in the tertiary education sector, streamlining student support and significantly reducing staff workload. These increasingly sophisticated systems are adept at managing a wide array of student queries, from routine administrative questions to more detailed academic support, thereby allowing human resources to focus on tasks requiring more nuanced and personal interactions. They can be customised to meet the specific needs of a university, ensuring that they provide accurate and relevant information to students.

    Chatbots such as LearnWise are designed to enhance student interactions by providing more tailored and contextually aware responses. For instance, on a university’s website, if a student expresses interest in gaming, they can suggest relevant courses, highlight the available facilities and include extra curriculum activities available, integrating seamlessly with the student’s interests and academic goals. This level of tailoring enhances the interaction quality and improves the student experience.

    Administrative efficiency

    AI is positively impacting the way administrative tasks are handled within educational institutions, changing the way everyday processes are managed. By automating routine and time-consuming tasks, AI technologies can alleviate the administrative load on staff, allowing them to dedicate more time to strategic and student-focused activities.

    AI tools such as Coplot and Gemini can help staff draft, organise, and prioritise emails. These tools can suggest responses based on the content received, check the tone of emails and manage scheduling by integrating with calendar apps, and remind lecturers of pending tasks or follow-ups, enhancing efficiency within the institution.

    Staff frequently deal with extensive documentation, from student reports to research papers and institutional policies. AI tools can assist in checking, proofreading and summarising papers and reports, and can help with data analysis, generating insights, graphs and graphics to help make data more easily digestible.

    How is AI being used in your institution?

    At Jisc we are collating practical case studies to create a comprehensive overview of how AI is being used across tertiary education. This includes a wide range of examples supporting the effective integration of AI into teaching and administration which will be used to highlight best practice, support those just getting started with the use of AI, overcome challenges being faced across the sector and to highlight the opportunities available to all.

    We want to hear how AI is being used at your organisation, from enhancing everyday tasks to complex and creative use cases. You can explore these resources and find out how to contribute by visiting the Jisc AI Resource Hub.

    For more information around the use of digital and AI in tertiary education, sign up to receive on-demand access to key sessions from Jisc’s flagship teaching and learning event – Digifest running 11–12 March.

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  • 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:

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  • 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.

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  • 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
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  • 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. 

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  • 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.

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  • A higher education institution’s relationship with technology crosses all its missions

    A higher education institution’s relationship with technology crosses all its missions

    Universities have a critical role to play at the intersection of academic thought, organisational practice, and social benefits of technology.

    It’s easy when thinking about universities’ digital strategies to see that as a technical question of organisational capability and solutions rather than one part of the wider public role universities have in leading thinking and shaping practice for the benefit of society.

    But for universities the relationship with technology is multifaceted: some parts of the institution are engaged in driving forward technological developments; others may be critically assessing how those developments reshape the human experience and throw up ethical challenges that must be addressed; while others may be seeking to deploy technologies in the service of improving teaching and research. The question, then, for universities, must be how to bring these relationships together in a critical but productive way.

    Thinking into practice

    The University of Edinburgh hosts one of the country’s foremost informatics and computer science departments, one of the largest centres of AI research in Europe. Edinburgh’s computing infrastructure has lately hit headlines when the Westminster government decided to cancel planned investment in a new supercomputing facility at the university, only to announce new plans for supercomputing investment in last week’s AI opportunities action plan, location as yet undetermined.

    But while the university’s technological research prowess is evident, there’s also a strong academic tradition of critical thought around technology – such as in the work of philosopher Shannon Vallor, director of the Centre for Technomoral Futures at the Edinburgh Futures Institute and author of The AI Mirror. In the HE-specific research field, Janja Komljenovic has explored the phenomenon of the “datafication” of higher education, raising questions of a mismatch and incoherence between how data is valued and used in different parts of an institution.

    When I speak to Edinburgh’s principal Peter Mathieson ahead of his keynote at the upcoming Kortext Live leaders event in Edinburgh on 4 February he’s reflecting on a key challenge: how to continue a legacy of thought leadership on digital technology and data science into the future, especially when the pace of technological change is so rapid?

    “It’s imperative for universities to be places that shape the debate, but also that study the advantages and disadvantages of different technologies and how they are adopted. We need to help the public make the best use of technology,” says Peter.

    There’s work going on to mobilise knowledge across disciplines, for example, data scientists interrogating Scotland’s unique identifier data to gain insights on public health – which was particularly important during Covid. The university is a lead partner in the delivery of the Edinburgh and south east Scotland city region deal, a key strand of which is focused on data-driven innovation. “The city region deal builds on our heritage of excellence in AI and computer science and brings that to addressing the exam question of how to create growth in our region, attract inward investment, and create jobs,” explains Peter.

    Peter is also of the opinion that more could be done to bring university expertise to bear across the education system. Currently the university is working with a secondary school to develop a data science programme that will see secondary pupils graduate with a data science qualification. Another initiative sees primary school classrooms equipped with sensors that detect earth movements in different parts of the world – Peter recounts having been proudly shown a squiggle on a piece of paper by two primary school pupils, which turned out to denote an earthquake in Tonga.

    “Data education in schools is a really important function for universities,” he says.”It’s not a recruiting exercise – I see it as a way of the region and community benefiting from having a research intensive university in their midst.”

    Connecting the bits

    The elephant in the room is, of course, the link between academic knowledge and organisational practice, and where and how those come together in a university as large and decentralised as Edinburgh.

    “There is a distinction between the academic mission and the day to day nuts and bolts,” Peter admits. “There is some irony that we are one of finest computer science institutions but we had trouble installing our new finance system. But the capability we have in a place like this should allow us to feel positive about the opportunities to do interesting things with technology.”

    Peter points to the university-wide enablement of Internet of Things which allows the university to monitor building usage, and which helps to identify where buildings may be under-utilised. As principal Peter also brought together estates and digital infrastructure business planning so that the physical and digital estate can be developed in tandem and with reference to each other rather than remaining in silos.

    “Being able to make decisions based on data is very empowering,” he says. “But it’s important that we think very carefully about what data is anonymised and reassure people we are not trying to operate a surveillance system.” Peter is also interested in how AI could help to streamline large administrative tasks, and the experimental deployment of generative AI across university activity. The university has developed its own AI innovation platform, ELM, the Edinburgh (access to) Language Models, which is free to use for all staff and students, and which gives the user access to large language models including the latest version of Chat-GPT but, importantly, without sharing user data with OpenAI.

    At the leadership level, Peter has endeavoured to put professional service leaders on the same footing as academic leaders rather than, as he says, “defining professional services by what they are not, ie non-academic.” It’s one example of the ways that roles and structures in universities are evolving, not necessarily as a direct response to technological change, but with technology being one of the aspects of social change that create a need inside universities for the ability to look at challenges from a range of professional perspectives.

    It’s rarely as straightforward as “automation leading to staffing reductions” though Peter is alive to the perceived risks and their implications. “People worry about automation leading to loss of jobs, but I think jobs will evolve in universities as they will elsewhere in society,” he says. “Much of the value of the university experience is defined by the human interactions that take place, especially in an international university, and we can’t replace physical presence on campus. I’m optimistic that humans can get more good than harm out of AI – we just need to be mindful that we will need to adapt more quickly to this innovation than to earlier technological advances like the printing press, or the Internet.”

    This article is published in association with Kortext. Peter Mathieson will be giving a keynote address at the upcoming Kortext LIVE leaders’ event in Edinburgh on 4 February – join us there or at the the London or Manchester events on 29 January and 6 February to find out more about Wonkhe and Kortext’s work on leading digital capability for learning, teaching and student success, and be part of the conversation.

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  • How the university can support student digital learning freedom

    How the university can support student digital learning freedom

    Feelings of belonging have a significant positive impact on academic success and progression, but we know that creating belonging isn’t as simple as putting up a welcome sign.

    Belonging is not something that can be automatically created by an institution, regardless of its commitment to access and inclusion. To make students feel they belong in a higher education environment, having the power to shape and co-create the environments in which they participate is essential.

    For students in higher education, liminal digital spaces (those informal areas of interaction that sit between formal academic environments and students’ broader social contexts) offer unique opportunities for students to lead, collaborate, learn and foster a sense of belonging, and the freedom to shape their learning environment and exercise agency in ways that may not be available within more formal institutional frameworks. They also offer opportunities for institutions to create places that nurture academic success without assuming responsibility for the development and delivery of all support.

    But squaring the ownership, credibility and safeguarding triangle is complex, so how can universities do this while also embracing digital tools?

    Taking ownership for learning

    Focusing on digital spaces allows institutions to expand the space their students feel comfortable inhabiting and learning in, without limiting engagement from those who may not be free to meet at a specific time or be able to meet in person.

    Digital learning resources can help students connect to their peers, further strengthening their sense of place within the institution. These spaces could act as connectors between university resource and student-driven exploration and learning in a way that more formal mechanisms sometimes fail to. At Manchester, resources such as My Learning Essentials (a blended skills support programme) can be used by the students within the spaces (via online resources) and signposted and recommended by peers (for scheduled support sessions).

    Although this model exists elsewhere, at Manchester it is enhanced by the CATE-awarded Library Student Team, a group of current students who appreciate and often inhabit these spaces themselves. The combination of always available online, expert-led sessions and peer-led support means there is a multiplicity of avenues in the support. This allows the University to partner with, for example, its Students’ Union, and work alongside students and the wider institution by hosting these digital spaces, acting as mediators or facilitators, and ensuring the right balance of autonomy and support.

    Keeping learning credible

    Wider institutional support like My Learning Essentials already takes advantage of digital spaces by delivering both asynchronous online support and scheduled online sessions, and it can be easily integrated, signposted and shaped by the students using it.

    These spaces need to be connected to the institution in such a way as to feel relevant and powerful. “Leaving” students to lead in spaces, giving them leadership responsibility without institutional support or backing, sets both them and these spaces up for failure.

    Universities can work alongside students to help them define collective community values and principles, much like the community guidelines found in spaces like MYFest, a community-focused annual development event. Doing so ensures these liminal spaces are inclusive and responsive to the needs of all participants. Such spaces can also help students transition ‘out’ of the university environment and support others to build skills that they have already developed, such as by mentoring a student in a year below.

    Safeguarding in a digital world

    Universities should also allow students to follow the beat of their own drum and embrace digital outside of university spaces to further their learning.

    Kai Prince, a PhD candidate in Maths at The University of Manchester, who runs a popular Discord server for fellow students, notes:

    If the servers are led by a diverse group of students, I find that they’re also perfect for building a sense of belonging as students feel more comfortable in sharing their difficulties pseudo-anonymously and receiving peer-support, either by being informed on solutions or having their experiences, such as impostor syndrome, acknowledged.

    Spaces like Discord allow students to engage in peer-led learning, but universities can enhance the quality of that learning by making available and investing in (as is done with My Learning Essentials) high-quality online materials, clear paths to wider support services and formal connections with societies or other academic groups. These mechanisms also help to keep the space within a student’s university experience, with all the expectations for behaviour and collegiality that entails.

    The higher education sector is a complex and diverse space, welcoming new members to its communities each year. But it is often mired in a struggle to effectively engage and include each individual as a true part of the whole.

    Work to address this needs to incorporate the students in spaces where the balance of power is tilted, by design, in their favour. Recognising the potential for digital spaces, for accessibility, support and familiarity for students as they enter higher education means that universities can put their efforts towards connecting, but not dictating, the direction of students and helping them forge their own learning journeys as part of the wider university community.

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  • 10 Reasons to Go Digital with Your Course Materials – Eric Stoller

    10 Reasons to Go Digital with Your Course Materials – Eric Stoller






    When I was a college student, there were times when I skipped out on buying a required textbook for a course. Finances were always tight, so I tried to balance my checkbook with buying actual books. Even then, textbooks weren’t cheap. Today, students are paying more and more for their higher education experience. If a university can find ways to make attending college more affordable, accessible, and “high-tech/high-touch”, well, it’s not really an option, it’s a necessity.

    Today’s technology makes it easy to distill course materials into digital formats and enhances them as a result.  Colleges and universities are quickly shifting from books to bytes to improve the student experience and boost course outcomes.

    Here are 10 reasons why your university should go digital with its course materials:

    1. Affordability: This may seem like an obvious reason to move to digital delivery of course materials. Students will end up paying less for digital course materials. From production to shipping, textbooks require a lot of costly infrastructure. Digital materials eliminate these costs and pass the savings on to students.
    2. A better experience for students with disabilities. Unlike print books, modern eTextbooks can be accessible “out of the box.”  When eTextbooks include features such alternative text descriptions of visuals and content that can be used with assistive technology, students can start reading right away, without waiting for a disability services department to create a file.
    3. Learning Analytics and Digital Integration: Can you remember when a physical book connected to a digital learning system? It’s just not possible. However, with digital course materials, integration with the campus LMS/VLE is possible. Plus, with learning analytics built in, digital materials can help support at-risk learners who may need additional assistance.
    4. Recruitment: Digital course materials might not seem like they give universities a recruitment edge, but in an increasingly competitive enrollment landscape, everything helps. Students seek modern solutions for their educational experience. For bring-your-own-device (BYOD) campuses and institutions that provide technology platforms for students, digital course materials hit the sweet spot. They create more affordances for student success and showcase a university experience that is effectively using the latest technologies.
    5. Multi-Platform Capability: The ability to view course materials on a variety of devices represents a huge advantage for digital course materials. If a student needs to read a chapter while on the go, odds are, they will be able to access it on whichever device they have with them. Also, it’s a good bet that no one misses having a backpack filled with textbooks.
    6. Seamless Group Work: University campuses are filled with versatile seating and project workspaces. You can’t project a textbook onto a large screen, but you can with digital course content. It’s simply a matter of either plugging in or wirelessly beaming content to a screen. It makes group work and collaboration a much easier task. 
    7. Always Current: Have you ever tried to update a textbook? Editions come and go, each one costing more than the last. With digital course materials, content is as up to date as possible and it doesn’t cost students more for this “always current” content. Who wants a used book when you can have a new digital version? 
    8. Instant Access: No longer do students have to search for the lowest price option or wait until after term starts. Instant access to digital materials, through programs such as Pearson Inclusive Access and others, ensures all students are ready to learn on the first day of class, not the third week. It’s as easy as logging into the university system, selecting the appropriate course, and downloading the material to a compatible device.
    9. Interactivity: Textbooks have been surpassed in form, function, and capability. Digital course materials allow authors the opportunity to embed audio and video into their work. This makes for a much more interactive and “real” experience for students. 
    10. Retention: Anything that a college or university can do to assist students with their academic success is a good thing. Digital course materials aid and enhance an institution’s ability to improve their overall retention rates and bolster student success with all of the supportive elements in this list. 

    What would you add to this list?

    Digital course materials are not the future for higher education; they’re the present. It’s only a matter of time before your institution goes digital for student success.

     

    This post was sponsored by Pearson as part of a higher education influencers collaboration.





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