Something Wicked This Way Comes

by Jim O’Mahony, SFHEA – Munster Technological University
Estimated reading time: 5 minutes
A disheveled male university professor with gray hair and glasses, wearing a tweed jacket, kneels on the floor in his office, looking under a beige armchair with a panicked expression while holding his phone like a remote. A stack of books, a globe, and a whiteboard with equations are visible. Image generated by Nano Banana
The true test of a professor’s intelligence: finding the lost remote control. Image generated by Nano Banana

I remember as a 7-year-old having to hop off the couch at home to change the TV channel. Shortly afterwards, a futuristic-looking device called a remote control was placed in my hand, and since then I have chosen its wizardry over my own physical ability to operate the TV. Why wouldn’t I? It’s reliable, instant, multifunctional, compliant and most importantly… less effort.

The Seduction of Less Effort

Less effort……….as humans, we’re biologically wired for it. Our bodies will always choose energy saving over energy-consuming, whether that’s a physical instance or a cognitive one. It’s an evolutionary aid to conserve energy.

Now, my life hasn’t been impaired by the introduction of a remote control, but imagine for a minute if that remote control replaced my thinking as a 7-year-old rather than my ability to operate a TV. Sounds fanciful, but in reality, this is exactly the world in which our students are now living in.

Within their grasp is a seductive all-knowing technological advancement called Gen AI, with the ability to replace thinking, reflection, metacognition, creativity, evaluative judgement, interpersonal relationships and other richly valued attributes that make us uniquely human.

Now, don’t get me wrong, I’m a staunch flag bearer for this new age of Gen AI and can see the unlimited potential it holds for enhanced learning. Who knows? Someday, it may even solve Bloom’s 2 sigma problem through its promise of personalised learning?

Guardrails for a New Age

However, I also realise that as the adults in the room, we have a very narrow window to put sufficient guardrails in place for our students around its use, and urgent considered governance is needed from University executives.  

Gen AI literacy isn’t the most glamorous term (it may not even be the most appropriate term), but it encapsulates what our priority as educators should be. Learn what these tools are, how they work, what are the limitations, problems, challenges, pitfalls, etc, and how can we use them positively within our professional practice to support rather than replace learning?

Isn’t that what we all strive for? To have the right digital tools matched with the best pedagogical practices so that our students enter the workforce as well-rounded, fully prepared graduates – a workforce by the way, that is rapidly changing, with more than 71% of employers routinely adopting Gen AI 12 months ago (we can only imagine what it is now).

Shouldn’t our teaching practices change then, to reflect the new Gen AI-rich graduate attributes required by employers? Surely, the answer is YES… or is it? There is no easy answer – and perhaps no right answer. Maybe we’ve been presented with a wicked problem – an unsolvable situation where some crusade to resist AI, and others introduce policies to ‘ban the banning’ of AI! Confused anyone?

Rethinking Assessment in a GenAI World

I believe a common-sense approach is best and would have us reimagine our educational programmes with valid, secure and authentic assessments that reward learning both with and without the use of Gen AI.

Achieving this is far from easy, but as a starting point, consider a recent paper from Deakin University, which advocates for structural changes to assessment design along with clearly communicated instructions to students around Gen AI use.

To facilitate a more discursive approach regarding reimagined assessment protocols, some universities are adopting ‘traffic light systems’ such as the AI Assessment scale, which, although not perfect (or the whole solution), at least promotes open and transparent dialogue with students about assessment integrity – and that’s never a bad thing.

The challenge will come from those academics who resist the adoption of Gen AI in education. Whether their reasons relate to privacy, environmental issues, ethics, inherent bias, AGI, autonomous AI or cognitive offloading concerns (all well-intentioned and entirely valid by the way), Higher Ed debates and decision making around this topic in the coming months will be robust and energetic.

Accommodating the fearful or ‘traditionalist educators’ who feel unprepared or unwilling to road-test Gen AI should be a key part of any educational strategy or initiative. Their voices should be heard and their opinions considered – but in return, they also need to understand how Gen AI works.

From Resistance to Fluency

Within each department, faculty, staffroom, T&L department – even among the rows of your students, you will find early adopters and digital champions who are a little further along this dimly lit path to Gen AI enlightenment. Seek them out, have coffee with them, reflect on their wisdom and commit to trialling at least one new Gen AI tool or application each week – here’s a list of 100 to get you started. Slowly build your confidence, take an open course, learn about AI fluency, and benefit from the expertise of others.

I’m not encouraging you to be an AI evangelist, but improving your knowledge and general AI capabilities will make you better able to make more informed decisions for you and your students.

Now, did anyone see where I left the remote control?

Jim O’Mahony

University Professor | Biotechnologist | Teaching & Learning Specialist
Munster Technological University

I am a passionate and enthusiastic University lecturer with over 20 years experience of designing, delivering and assessing undergraduate and postgraduate programmes. My primary focus as an academic is to empower students to achieve their full potential through innovative educational strategies and carefully designed curricula. I embrace the strategic and well-intentioned use of digital tools as part of my learning ethos, and I have been an early adopter and enthusiastic advocate of Artificial Intelligence (AI) as an educational tool.


Links

Jim also runs a wonderful newsletter on LinkedIn
https://www.linkedin.com/newsletters/ai-simplified-for-educators-7366495926846210052/

Keywords


Enacting Assessment Reform in a Time of Artificial Intelligence


Source

Tertiary Education Quality and Standards Agency (TEQSA), Australian Government

Summary

This resource addresses how Australian higher education can reform assessment in response to the rise of generative AI. Building on earlier work (Assessment Reform for the Age of Artificial Intelligence), it sets out strategies that align with the Higher Education Standards Framework while acknowledging that gen AI is now ubiquitous in student learning and professional practice. The central message is that detection alone is insufficient; instead, assessment must be redesigned to assure learning authentically, ethically, and sustainably.

The report outlines three main pathways: (1) program-wide assessment reform, which integrates assessment as a coherent system across degrees; (2) unit/subject-level assurance of learning, where each subject includes at least one secure assessment task; and (3) a hybrid approach combining both. Each pathway carries distinct advantages and challenges, from institutional resourcing and staff coordination to maintaining program coherence and addressing integrity risks. Critical across all approaches is the need to balance immediate integrity concerns with long-term goals of preparing students for an AI-integrated future.

Key Points

  • Generative AI necessitates structural assessment reform, not reliance on detection.
  • Assessments must equip students to participate ethically and critically in an AI-enabled society.
  • Assurance of learning requires multiple, inclusive, and contextualised approaches.
  • Program-level reform provides coherence and alignment but demands significant institutional commitment.
  • Unit-level assurance offers quick implementation but risks fragmentation.
  • Hybrid approaches balance flexibility with systemic assurance.
  • Over-reliance on traditional supervised exams risks reducing authenticity and equity.
  • Critical questions must guide reform: alignment across units, disciplinary variation, and student experience.
  • Assessment must reflect authentic professional practices where gen AI is legitimately used.
  • Ongoing collaboration and evidence-sharing across the sector are vital for sustainable reform.

Conclusion

The report concludes that assessment reform in the age of AI is not optional but essential. Institutions must move beyond short-term fixes and design assessment systems that assure learning, uphold integrity, and prepare students for future professional contexts. This requires thoughtful strategy, collaboration, and a willingness to reimagine assessment as a developmental, systemic, and values-driven practice.

Keywords

URL

https://www.teqsa.gov.au/guides-resources/resources/corporate-publications/enacting-assessment-reform-time-artificial-intelligence

Summary generated by ChatGPT 5


90% Of College Students Use AI: Higher Ed Needs AI Fluency Support Now


A large, ornate lecture hall is filled with numerous college students, each intensely focused on their glowing laptop screens displaying various AI interfaces. At the front, a professor addresses the class. A prominent holographic banner above the students reads '90% OF COLLEGE STUDENTS USE AI' with an upward-trending bar graph. The scene highlights the widespread use of AI in higher education. Generated by Nano Banana.
With a staggering 90% of college students now integrating AI tools into their academic lives, the demand for robust AI fluency support in higher education has never been more critical. This image underscores the widespread adoption of AI by students, signalling an urgent need for institutions to adapt their curricula and resources to equip learners for an AI-driven future. Image generated by Nano Banana.

Source

Forbes

Summary

AI is now deeply embedded in student life: roughly 90 % of college students report using AI tools, and the evidence suggests institutions are lagging in supporting this shift. Many students use AI for learning support—brainstorming, drafting, reviewing—but worry about its limitations, risks, and policy clarity. Educators argue that AI fluency should be integrated into curricula so students can use it responsibly, distinguish strong from weak output, and avoid over-reliance. The piece calls for higher education to embed AI ethics and practical AI skills to prepare students for a changing work environment.

Key Points

  • About 90 % of college students now use AI tools in their academic work.
  • Students use AI for brainstorming, feedback, editing, drafting—not necessarily to cheat—but feel under-prepared in distinguishing good versus bad AI output.
  • There is a gap between student usage and institutional support; many students believe their universities aren’t keeping pace.
  • AI fluency (understanding how AI works, its limitations, ethical issues) is increasingly seen as a necessary component of modern education.
  • Clear policy, guidance, and curricular integration are needed to ensure AI is a help, not a crutch.

Keywords

URL

https://www.forbes.com/sites/avivalegatt/2025/09/18/90-of-college-students-use-ai-higher-ed-needs-ai-fluency-support-now/

Summary generated by ChatGPT 5


Generative AI in Higher Education Teaching and Learning: Sectoral Perspectives


Source

Higher Education Authority

Summary

This report, commissioned by the Higher Education Authority (HEA), captures sector-wide perspectives on the impact of generative AI across Irish higher education. Through ten thematic focus groups and a leadership summit, it gathered insights from academic staff, students, support personnel, and leaders. The findings show that AI is already reshaping teaching, learning, assessment, and governance, but institutional responses remain fragmented and uneven. Participants emphasised the urgent need for national coordination, values-led policies, and structured capacity-building for both staff and students.

Key cross-cutting concerns included threats to academic integrity, the fragility of current assessment practices, risks of skill erosion, and unequal access. At the same time, stakeholders recognised opportunities for AI to enhance teaching, personalise learning, support inclusion, and free staff time for higher-value educational work. A consistent theme was that AI should not be treated merely as a technical disruption but as a pedagogical and ethical challenge that requires re-examining educational purpose.

Key Points

  • Sectoral responses to AI are fragmented; coordinated national guidance is urgently needed.
  • Generative AI challenges core values of authorship, originality, and academic integrity.
  • Assessment redesign is necessary—moving towards authentic, process-focused approaches.
  • Risks include skill erosion in writing, reasoning, and information literacy if AI is overused.
  • AI literacy for staff and students must go beyond tool use to include ethics and critical thinking.
  • Ethical use of AI requires shared principles, not just compliance or detection measures.
  • Inclusion is not automatic: without deliberate design, AI risks deepening inequality.
  • Staff feel underprepared and need professional development and institutional support.
  • Infrastructure challenges extend beyond tools to governance, procurement, and policy.
  • Leadership must shape educational vision, not just manage risk or compliance.

Conclusion

Generative AI is already embedded in higher education, raising urgent questions of purpose, integrity, and equity. The consultation shows both enthusiasm and unease, but above all a readiness to engage. The report concludes that a coordinated, values-led, and inclusive approach—balancing innovation with responsibility—will be essential to ensure AI strengthens, rather than undermines, Ireland’s higher education mission.

Keywords

URL

https://hea.ie/2025/09/17/generative-ai-in-higher-education-teaching-and-learning-sectoral-perspectives/

Summary generated by ChatGPT 5


How to use ChatGPT at university without cheating: ‘Now it’s more like a study partner’


Three university students (two male, one female) are seated at a table with laptops and books, smiling and engaged in discussion. Behind them, a large transparent screen displays a glowing blue humanoid AI figure pointing to various academic data and charts. The setting is a modern library, conveying a collaborative study environment where AI acts as a helpful, non-cheating resource. Generated by Nano Banana.
Moving beyond fears of academic dishonesty, many students are now leveraging ChatGPT as an ethical ‘study partner’ to enhance their learning experience at university. This image illustrates a collaborative approach where AI supports understanding and exploration, rather than providing shortcuts, thereby fostering a new era of academic assistance. Image generated by Nano Banana.

Source

The Guardian

Summary

Many students now treat ChatGPT less like a cheating shortcut and more like a study partner: for grammar checks, revision, practice questions, and organising notes. Usage jumped from 66% to 92% in a year. Universities are clarifying rules: AI can support study but not generate assignment content. Educators stress AI literacy, awareness of risks (hallucinations, fake references), and critical thinking to ensure AI complements rather than replaces learning.

Key Points

  • Student AI use rose from ~66% to ~92% in a year; viewed more as a partner than a cheat tool.
  • Valid uses: organising notes, summarising, and generating practice questions.
  • Risks: overreliance, hallucinations, using AI to write assignments still banned.
  • Some universities track AI usage or require logs; policies clearer.
  • Message: AI should be supplemental, not a substitute; build literacy and critical skills.

Keywords

URL

https://www.theguardian.com/education/2025/sep/14/how-to-use-chatgpt-at-university-without-cheating-now-its-more-like-a-study-partner

Summary generated by ChatGPT 5