Tag: Active

  • Redefining active learning in a digitally transformed higher education landscape

    Redefining active learning in a digitally transformed higher education landscape

    Join HEPI for a webinar on Thursday 11 December 2025 from 10am to 11am to discuss how universities can strengthen the student voice in governance to mark the launch of our upcoming report, Rethinking the Student Voice. Sign up now to hear our speakers explore the key questions.

    This blog was kindly authored by Dr Andrew Woon, Senior Lecturer in the Department of Management, Monash University Malaysia.

    After teaching in the UK for nearly five years, I returned to Malaysia and joined Monash University. There I noticed a  striking difference in the approach to teaching and learning methodologies.

    Many universities have been grappling with low student attendance, a trend particularly acute since the onset of COVID-19. Additionally, the increasingly diverse student body (including a higher proportion of students from low socioeconomic backgrounds, mature-age learners and those studying with disabilities) requires greater flexibility in learning modes to accommodate their varied responsibilities and commitments. These pressures have significantly altered the traditional image of a bustling university campus filled with students, prompting institutions to rethink how education is delivered and experienced.

    Some universities have taken dramatic steps to address these challenges, Adelaide University decided to discontinue face-to-face lectures, and many other major Australian universities have redefined their course delivery formats to incorporate digital content and self-paced modules.

    Monash University has implemented both asynchronous and synchronous learning approaches as part of its transformative teaching and learning initiatives, aligned with the Impact 2030 strategic plan. At Monash, we view the Moodle learning platform not merely as a content repository, but as a dynamic “classroom” space. It serves as an interactive environment where educators can engage students through structured modules, collaborative activities, and timely feedback – going beyond simply sharing materials and resources.

    At Monash, we have transitioned lectures to an asynchronous format, which we refer to as “own-time learning.” This allows students to engage with content at their convenience. Our tutorials, which represent the synchronous component of learning, are designed to be interactive and focused on higher-order thinking and practical application.

    The goal is to redefine active learning across both asynchronous and synchronous learning spaces to empower students to take ownership of their educational journey. With the rapid advancement of AI fundamentally reshaping the educational landscape, it is high time for bold, intentional changes in how we design, support, deliver, and assess learning.

    In an era where information and knowledge are readily accessible, we have reimagined passive lecturing by breaking it down into microlearning blocks. Traditional lectures are now delivered as short, topic-specific videos accompanied by thought-provoking questions and scaffolded learning activities. This structure prepares students for synchronous sessions by stimulating curiosity, promoting cognitive engagement, and cultivating practical skills.

    Of course, this method is not without its challenges. Many educators rightly raise concerns about how many students actually complete the pre-session “own-time learning” and how effectively they engage with the material before attending tutorials. Yet, this very concern also applies to traditional live, large lecture sessions, where passive attendance does not necessarily equate to meaningful engagement or preparation. The shift to asynchronous formats simply makes this issue more visible and measurable, prompting us to rethink how we scaffold, motivate, and support student learning across modalities.

    This transformation not only responds to the diverse needs of our student population (including those balancing work, caregiving, or accessibility challenges), but also enables more effective utilisation of physical classroom spaces. Traditional lecture theatres can be reimagined as interactive, collaborative learning environments that foster deeper engagement, peer dialogue, and practical application.

    In addition, shifting classroom activities to online spaces enables students to better plan their timetables, reducing scheduling conflicts and long gaps between classes. This flexibility not only supports time management but also cultivates essential skills in online collaboration, digital communication, and self-directed learning — competencies that are increasingly vital in both academic and professional spheres.

    The shift to asynchronous lectures represents a significant cultural change in learning, requiring adaptation from both students and educators. As educators, we must evolve from being mere content deliverers to becoming facilitators who thoughtfully design learning activities that promote engagement, critical thinking, and autonomy. This pedagogical shift challenges us to create meaningful learning experiences that guide students through inquiry, application, and reflection, rather than relying on the passive delivery of content typical of large lecture formats.

    As a result, I do not see asynchronous lectures as a lesser form of teaching or an intellectual compromise, but rather as a strategic shift that empowers students to learn at their own pace, revisit complex concepts, and prepare more meaningfully for interactive sessions. When thoughtfully designed, asynchronous learning fosters autonomy, deepens engagement, and complements synchronous tutorials in cultivating higher-order thinking and practical skills.

    I believe UK institutions should take a bold step forward, as the current format of delivery is unlikely to drive meaningful progress. The traditional reliance on large, live lectures and rigid timetabling no longer aligns with the evolving needs of students or the realities of a digitally transformed educational landscape. Embracing asynchronous and blended learning models that are paired with thoughtful curriculum design can foster deeper engagement, greater flexibility, and more inclusive learning experiences for all.

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  • ACTIVE SHOOTER” at Villanova University was a “cruel hoax.

    ACTIVE SHOOTER” at Villanova University was a “cruel hoax.

    News sources in the Philadelphia area were alerted today that there was an active shooter at Villanova University. Students received text messages and rushed for safety. About two hours later, the university President Rev. Peter M. Donohue called it a “cruel hoax.”

    Campus hoaxes are not mere pranks. They are crimes and a dangerous reflection of a society where the line between reality and rumor blurs under the shadow of violence. Each false alarm chips away at the sense of security that universities promise their students. Until the United States addresses the root causes of both gun violence and the culture of fear it breeds, campus hoaxes will remain part of higher education’s uneasy reality.

    The Broader Context: America’s Culture of Violence

    The threat of harm is not abstract. In the U.S., campus shootings have become a recurring tragedy: Virginia Tech (2007), Northern Illinois University (2008), Umpqua Community College (2015), and Michigan State (2023), among many others. This context makes hoaxes especially dangerous: police and students cannot know in the moment whether the threat is real. A single misstep could cost lives.

    Accountability and Prevention

    Universities and local authorities have begun tracking and prosecuting hoaxes and swatting calls, but enforcement is difficult. Prevention may require better technology, coordinated responses, and clear communication with students. Most importantly, it requires addressing the broader conditions that make both real shootings and hoaxes possible: widespread access to firearms, untreated mental illness, and a culture desensitized to violence.

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  • Faculty better get active on AI and academic freedom.

    Faculty better get active on AI and academic freedom.

    Is AI an academic freedom issue?

    Of course.

    Education technology as a whole is an academic freedom issue, unfortunately, the encroachment of technological systems which shape (and in some cases even determine) pedagogy, research and governance have been left in the hands of others, with faculty required to capitulate to a system designed and controlled by others.

    AI is here, rather suddenly, pretty disruptively, and in a big way. Different institutions are adopting different stances and much of the adaptation is falling on faculty, in some cases with minimal guidance. While considering how these tools impact what’s happening at the level of course and pedagogy is a necessity, it also seems clear that faculty concerned about preserving their own rights should be considering some of the institutional/structural issues.

    Personally, I have more questions than answers at this time, but there’s a handful of recent readings that I want to recommend to others to help ground thinking that may lead to better questions and actionable answers.

    A report, Artificial Intelligence and the Academic Professions, just released by the AAUP, should be at the top of anyone’s list. Based on a national survey, the report examines a number of big-picture categories, all of which have a direct relationship to issues of academic freedom.

    1. Improving Professional Development Regarding AI and Technology Harms
    2. Implementing Shared Governance Policies and Professional Oversight
    3. Improving Working and Learning Conditions
    4. Demanding Transparency and the Ability to Opt Out
    5. Protecting Faculty Members and Other Academic Workers.

    The report both summarizes faculty concerns as expressed in the survey and offers recommendations for actions that will protect faculty rights and autonomy. Having read the report, in some cases the recommendations initially seem frustratingly vague but looked at in total, they are essentially a call for active faculty involvement in considering the implications of the intersection of this technology (and the companies developing it) with educational institutions. 

    In a way, the report highlights, in hindsight, how truly absent faculty have been as existing educational technology has been woven into the fabric of our institutions, and that it would be a disaster for that absence to be perpetuated when it comes to AI.

    After checking out the AAUP report, move on to Matt Seybold’s, How Venture Capitalists Built A For-Profit “Micro-University” Inside Our Public Flagships, published at his newsletter, The American Vandal. It’s a long and complicated story about the ways outside service providers conceived in venture capital/private equity have insinuated themselves into our universities in ways that undermine faculty roles and educational quality. 

    It would take a full column to do Seybold’s piece justice, but here are two quotes that I hope induce you to go consider his full argument.

    Here Seybold pulls the lid back on what it means for these third-party provider offerings to exist under a university brand “powered by” the third-party provider:

    The “powered by model” is a truly absurdist role reversal. A private, unaccredited company founded and run by sales and marketing professionals is responsible for the (pseudo)educational coursework, while the accredited university is employed only for its sales and marketing functions, getting paid by commission on the headcount of students who enroll from their branded portal. University partners are incentivized to flex their brand power and use their proprietary data, advertising budgets, and sales forces to maximize this commission, while Ziplines provides cookie-cutter landing pages and highly reproducible microdegrees, the content of which is largely created by gigworkers.

    And here, Seybold pinpoints the downstream effect of these kinds of “partnerships.”

    EdTech is not only always a Trojan horse for elite capture of public resources; it is also always a project in delegitimizing the project of public education itself.

    The applicability of Seybold’s analysis to the “AI partnerships” many institutions are busy signing should be clear.

    As another thought experiment exercise, I recommend making your way through a Hollis Robbins’s piece at her Anecdotal website, How to Deliver CSU’s Gen Ed with AI.

    Robbins, a former university dean, perhaps intends this more as a provocation than an actionable proposal but, as a proposal, it is a comprehensive vision for replacing human labor with AI instruction that relies on a series of interwoven tech applications where humans are “in the loop,” but which largely run autonomously.

    If realized, this sort of vision would obviate academic freedom on two fronts:

    1. The curriculum would be codified and assessed according to a rigid standard and then be delivered primarily through AI.
    2. Faculty would barely exist.

    I read it as a surveillance-driven dystopia from which I would either have to opt-out (if allowed), or more likely have to flee, but you can check the comments to the post itself and find some early enthusiasts. The complexity of the technological vision suggests that such a vision would be difficult to impossible to realize, but the underlying values of increased efficiency, decreased cost and increased standardization are consistent with the direction educational systems have been going for decades.

    Many of the factors that have eroded faculty rights and left institutions vulnerable to the attacks that have been coming were, indeed, foreseeable. Adjunctification is at the top of my list. 

    When it comes to technology and the university, we’ve seen this play before. If faculty aren’t prepared to assert their rights and exercise their power, you won’t see me writing the kinds of lamentations I’ve offered about tenure over the years because there won’t be enough faculty left to worry about such things.

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  • Expanded AI Makes Active, Personalized Learning More Accessible

    Expanded AI Makes Active, Personalized Learning More Accessible

    Top Hat’s AI-powered assistant, Ace, just got even better. Two new features—example generation and personalized practice—make it easier than ever for educators to personalize learning and give students the support they need to stay on track.

    Ace was designed to take the heavy lifting out of creating assessments and provide students with help when they need it. Now, it’s enabling educators to make learning more relevant by connecting course content to student interests and career goals and by offering targeted practice based on where students are struggling most.

    “Each of these features reflects our belief that great teaching and learning happens when technology helps people do what they do best,” said Maggie Leen, CEO of Top Hat. “With Ace, we’re building an experience that empowers busy educators and motivates students to connect, explore, practice, and succeed.”

    Since its introduction in 2023, Ace has become a trusted partner for instructors seeking to deepen engagement and boost learning outcomes. The new enhancements make it simple for educators to implement teaching practices shown to improve learning, and enhance student success through on-demand, personalized study support.

    Example Generation: Make Content More Relevant and Engaging

    One of the biggest challenges in teaching is helping students see why what they’re learning actually matters. With Ace’s new example generation feature, educators can highlight any part of their course material and ask Ace to create a scenario that ties the concept to something students might encounter in their future careers—or even in everyday life. For instance, an educator teaching anatomy to nursing students might ask Ace to show how muscle function affects patient mobility. When content is connected to students’ goals or lived experiences, it becomes more relevant and meaningful.

    This new capability builds on Ace’s popular question generation tool used by faculty to create formative assessments from their content with just a few clicks. With example generation, educators have another fast and flexible way to personalize course material and make learning more engaging.

    Personalized Practice: Turn Mistakes Into Learning Opportunities

    Many students want more chances to practice but often don’t know what to review or where to start. Ace’s new personalized practice feature gives them just that. As students work through assigned readings and questions, Ace pinpoints where they’re struggling and creates targeted practice sets based on those areas. Feedback is instant, helping students stay on track and build confidence before high-stakes tests.

    More than 100,000 students have used Ace for on-demand study help—from chat-based explanations to unlimited practice questions tied directly to their course content. The new personalized practice feature builds on these tools by offering even more tailored support. It’s a smarter, more continuous way to learn, to build confidence, and deepen understanding over time.

    “Ace shows what’s possible when AI is used thoughtfully to empower instructors, reflect students’ interests, and elevate the learning experience,” said Hong Bui, Chief Product Officer at Top Hat. “As Ace continues to evolve, we’ll add new capabilities to help educators teach more efficiently and create more impactful, engaging experiences for their students.”

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  • Bridging the Gap: Active Learning Strategies for Traditional and Online Classrooms – Faculty Focus

    Bridging the Gap: Active Learning Strategies for Traditional and Online Classrooms – Faculty Focus

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  • Bridging the Gap: Active Learning Strategies for Traditional and Online Classrooms – Faculty Focus

    Bridging the Gap: Active Learning Strategies for Traditional and Online Classrooms – Faculty Focus

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  • 5 High-Presence Teaching Tactics for Active Online Learning – Faculty Focus

    5 High-Presence Teaching Tactics for Active Online Learning – Faculty Focus

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  • 5 High-Presence Teaching Tactics for Active Online Learning – Faculty Focus

    5 High-Presence Teaching Tactics for Active Online Learning – Faculty Focus

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