Author: GenAI:N3

How AI Is Changing—Not ‘Killing’—College

GenAI:N3
A diverse group of college students is gathered in a modern university library or common area, with some holding tablets or looking at laptops. Above them, a large, glowing word cloud hovers, filled with terms related to artificial intelligence and its impact. Prominent words include "HELPFUL," "FUTURE," "ETHICS," "CHEATING," "BIAS," and "CONCERNING," reflecting a range of student opinions. The overall impression is one of active discussion and varied perspectives on AI. Image (and typos) generated by Nano Banana.
What do the next generation of leaders and innovators think about artificial intelligence? This visual captures the dynamic and often contrasting views of college students on AI’s role in their education, future careers, and daily lives. Image (and typos) generated by Nano Banana.

Source

Inside Higher Ed

Summary

A new Student Voice survey by Inside Higher Ed and Generation Lab captures how U.S. college students are adapting to generative AI in their studies and what they expect from institutions. Of the 1,047 students surveyed, 85 per cent had used AI tools in the past year—mainly for brainstorming, tutoring, and studying—while only a quarter admitted to using them for completing assignments. Most respondents called for universities to provide education on ethical AI use and clearer, standardised policies, rather than policing or banning the technology. Although students are divided about AI’s impact on critical thinking, most agree it can enhance learning if used responsibly. The majority do not view AI as diminishing the value of college; some even see it as increasing it.

Key Points

  • 85 per cent of students have used AI tools for coursework, mainly for brainstorming and study support.
  • 97 per cent want universities to respond to AI’s impact on academic integrity through education, not restriction.
  • Over half say AI has mixed effects on critical thinking; 27 per cent find it enhances learning.
  • Students want institutions to offer professional and ethical AI training, not leave it to individual faculty.
  • Only 18 per cent believe AI reduces the value of college; 23 per cent say it increases it.

Keywords

, , , , , , ,

URL

https://www.insidehighered.com/news/students/academics/2025/08/29/survey-college-students-views-ai

Summary generated by ChatGPT 5

GenAI News

QQI Generative Artificial Intelligence Survey Report 2025

GenAI:N3

Source

Quality and Qualifications Ireland (QQI), August 2025

Summary

This national survey captures the views of 1,229 staff and 1,005 learners across Ireland’s further, higher, and English language education sectors on their knowledge, use, and perceptions of generative AI (GenAI). The report reveals growing engagement with GenAI but also wide disparities in understanding, policy, and preparedness. Most respondents recognise AI’s transformative impact but remain uncertain about its role in assessment, academic integrity, and employability.

While over 80% of staff and learners believe GenAI will significantly change education and work over the next five years, few feel equipped to respond. Only 20% of staff and 14% of learners report access to GenAI training. Policies are inconsistent or absent, with most institutions leaving decisions on use to individual educators. Both staff and learners support transparent, declared use of GenAI but express concerns about bias, overreliance, loss of essential skills, and declining trust in qualifications. Respondents call for coherent national and institutional policies, professional development, and curriculum reform that balances innovation with integrity.

Key Points

  • 82% of respondents expect GenAI to transform learning and work within five years.
  • 63% of staff and 36% of learners believe GenAI literacy should be explicitly taught.
  • Fewer than one in five institutions currently provide structured GenAI training.
  • Policies on GenAI use are inconsistent, unclear, or absent in most institutions.
  • Over half of respondents fear skill erosion and reduced academic trust from AI use.
  • 70% of staff say assessment rules for GenAI lack clarity or consistency.
  • 83% of learners believe GenAI will change how they are assessed.
  • Staff and learners call for transparent declaration of GenAI use in assignments.
  • 61% of staff feel learners are unprepared to use GenAI responsibly in the workplace.
  • Respondents emphasise ethical governance, inclusion, and sustainable AI adoption.

Conclusion

The survey highlights a critical moment for Irish education: generative AI is already influencing learning and work, yet systems for policy, training, and ethics are lagging behind. To maintain public trust and educational relevance, QQI recommends a coordinated national response centred on transparency, AI literacy, and values-led governance that equips both learners and educators for an AI-driven future.

Keywords

, , , , , , , , ,

URL

https://www.qqi.ie/sites/default/files/2025-08/generative-artificial-intelligence-survey-report-2025.pdf

Summary generated by ChatGPT 5

Gen AI Reports

Will AI Make You Stupid?

GenAI:N3
A digital representation of a human brain with glowing teal data streams and circuit-like patterns flowing out from its right side, against a dark, technical background with a subtle digital frame. Image (and typos) generated by Nano Banana.
Exploring the cognitive impact of artificial intelligence: Will reliance on AI enhance our intellect or diminish our critical thinking abilities? Image (and typos) generated by Nano Banana.

Source

The Economist

Summary

A Massachusetts Institute of Technology study has found that students using ChatGPT during essay-writing tasks showed reduced brain activity in areas linked to creativity and attention. Similar research from Microsoft and the SBS Swiss Business School supports the claim that frequent AI use may diminish critical thinking, fostering “cognitive miserliness,” or the tendency to offload mental effort. While experts caution that the evidence is not yet conclusive, they warn that excessive reliance on AI could erode problem-solving and creative skills over time. Historical parallels—such as Socrates’ scepticism about writing—suggest technological tools often reshape, but do not destroy, cognitive abilities. The article concludes that using AI thoughtfully—prompting step by step and reflecting critically—can help preserve intellectual engagement even as automation advances.

Key Points

  • MIT researchers observed reduced creative and attentional brain activity in AI-assisted students.
  • Frequent AI users performed worse on critical-thinking tests in a Swiss study.
  • Over-reliance on AI can create “cognitive offloading” and feedback loops of dependence.
  • Experts urge reflective, guided use—AI as assistant, not replacement.
  • Strategies such as incremental prompting and “cognitive forcing” can sustain mental effort.
  • Evidence remains mixed: AI may change, but not necessarily weaken, human intelligence.

Keywords

, , , , , , ,

URL

https://www.economist.com/science-and-technology/2025/07/16/will-ai-make-you-stupid

Summary generated by ChatGPT 5

GenAI News

Understanding the Impacts of Generative AI Use on Children

GenAI:N3

Source

Alan Turing Institute

Summary

This report, prepared by the Alan Turing Institute with support from the LEGO Group, explores the impacts of generative AI on children aged 8–12 in the UK, alongside the views of their parents, carers, and teachers. Two large surveys were conducted: one with 780 children and their parents/carers, and another with 1,001 teachers across primary and secondary schools. The study examined how children encounter and use generative AI, how parents and teachers perceive its risks and benefits, and what this means for children’s wellbeing, learning, and creativity.

Findings show that while household use of generative AI is widespread (55%), access and awareness are uneven, being higher among wealthier families and private schools, and lower in state schools and disadvantaged groups. About 22% of children reported using generative AI, most commonly ChatGPT, for activities ranging from creating pictures to homework help. Children with additional learning needs were more likely to use AI for communication and companionship. Both children and parents who used AI themselves tended to view it positively, though parents voiced concerns about inaccuracy, inappropriate content, and reduced critical thinking. Teachers were frequent adopters—two-thirds used generative AI for lesson planning and research—and generally optimistic about its benefits for their work. However, many were uneasy about student use, particularly around academic integrity and diminished originality in schoolwork.

Key Points

  • 55% of UK households surveyed report generative AI use, with access shaped by income, region, and school type.
  • 22% of children (aged 8–12) have used generative AI; usage rises with age and is far higher in private schools.
  • ChatGPT is the most popular tool (58%), followed by Gemini and Snapchat’s “My AI.”
  • Children mainly use AI for creativity, learning, entertainment, and homework; those with additional needs use it more for communication and support.
  • 68% of child users find AI exciting; their enthusiasm strongly correlates with parents’ positive attitudes.
  • Parents are broadly optimistic (76%) but remain concerned about exposure to inappropriate or inaccurate information.
  • Teachers’ adoption is high (66%), especially for lesson planning and resource design, but often relies on personal licences.
  • Most teachers (85%) report increased productivity and confidence, though trust in AI outputs is more cautious.
  • Teachers are worried about students over-relying on AI: 57% report awareness of pupils submitting AI-generated work as their own.
  • Optimism is higher for AI as a support tool for special educational needs than for general student creativity or engagement.

Conclusion

Generative AI is already part of children’s digital lives, but access, understanding, and experiences vary widely. It sparks excitement and creativity yet raises concerns about equity, critical thinking, and integrity in education. While teachers see strong benefits for their own work, they remain divided on its value for students. The findings underline the need for clear policies, responsible design, and adult guidance to ensure AI enhances rather than undermines children’s learning and wellbeing.

Keywords

, , , , , , , , ,

URL

https://www.turing.ac.uk/sites/default/files/2025-06/understanding_the_impacts_of_generative_ai_use_on_children_-_wp1_report.pdf

Summary generated by ChatGPT 5

GenAI Reports

Explainable AI in education: Fostering human oversight and shared responsibility

GenAI:N3

Source

The European Digital Education Hub

Summary

This European Digital Education Hub report explores how explainable artificial intelligence (XAI) can support trustworthy, ethical, and effective AI use in education. XAI is positioned as central to ensuring transparency, fairness, accountability, and human oversight in educational AI systems. The document frames XAI within EU regulations (AI Act, GDPR, Digital Services Act, etc.), highlighting its role in protecting rights while fostering innovation. It stresses that explanations of AI decisions must be understandable, context-sensitive, and actionable for learners, educators, policy-makers, and developers alike.

The report emphasises both the technical and human dimensions of XAI, defining four key concepts: transparency, interpretability, explainability, and understandability. Practical applications include intelligent tutoring systems and AI-driven lesson planning, with case studies showing how different stakeholders perceive risks and benefits. A major theme is capacity-building: educators need new competences to critically assess AI, integrate it responsibly, and communicate its role to students. Ultimately, XAI is not only a technical safeguard but a pedagogical tool that fosters agency, metacognition, and trust.

Key Points

  • XAI enables trust in AI by making systems transparent, interpretable, explainable, and understandable.
  • EU frameworks (AI Act, GDPR) require AI systems in education to meet legal standards of fairness, accountability, and transparency.
  • Education use cases include intelligent tutoring systems and lesson-plan generators, where human oversight remains critical.
  • Stakeholders (educators, learners, developers, policymakers) require tailored explanations at different levels of depth.
  • Teachers need competences in AI literacy, critical thinking, and the ethical use of XAI tools.
  • Explanations should align with pedagogical goals, fostering self-regulated learning and student agency.
  • Risks include bias, opacity of data-driven models, and threats to academic integrity if explanations are weak.
  • Opportunities lie in supporting inclusivity, accessibility, and personalised learning.
  • Collaboration between developers, educators, and authorities is essential to balance innovation with safeguards.
  • XAI in education is about shared responsibility—designing systems where humans remain accountable and learners remain empowered.

Conclusion

The report concludes that explainable AI is a cornerstone for trustworthy AI in education. It bridges technical transparency with human understanding, ensuring compliance with EU laws while empowering educators and learners. By embedding explainability into both AI design and classroom practice, education systems can harness AI’s benefits responsibly, maintaining fairness, accountability, and human agency.

Keywords

, , , , , , , , ,

URL

https://knowledgeinnovation.eu/kic-publication/explainable-ai-in-education-fostering-human-oversight-and-shared-responsibility/

Summary generated by ChatGPT 5

Gen AI Reports