Month: October 2025

Academic Libraries Embrace AI

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A grand, traditional academic library transformed with futuristic technology. Holographic interfaces displaying data and robotic arms extend from bookshelves. Students use laptops and VR headsets, while a central figure at a desk oversees a glowing AI monolith, symbolizing the integration of AI. Image (and typos) generated by Nano Banana.
The future of learning: Academic libraries are evolving into hubs where traditional knowledge meets cutting-edge AI, enhancing research and access to information. Image (and typos) generated by Nano Banana.

Source

Inside Higher Ed

Summary

A global Clarivate survey of more than 2,000 librarians across 109 countries shows that artificial intelligence adoption in libraries is accelerating, particularly within academic institutions. Sixty-seven percent of libraries are exploring or implementing AI, up from 63 percent in 2024, with academic libraries leading the trend. Their priorities include supporting student learning and improving content discovery. Libraries that provide AI training, resources, and leadership encouragement report the highest success and optimism. However, adoption and attitudes vary sharply by region—U.S. librarians remain the least optimistic—and by seniority, with senior leaders expressing greater confidence and favouring administrative applications.

Key Points

  • 67% of libraries are exploring or using AI, up from 63% in 2024.
  • Academic libraries lead in adoption, focusing on student engagement and learning.
  • AI training and institutional support drive successful implementation.
  • Regional differences persist, with U.S. librarians least optimistic (7%).
  • Senior librarians show higher confidence and prefer AI for administrative efficiency.

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URL

https://www.insidehighered.com/news/quick-takes/2025/10/31/academic-libraries-embrace-ai

Summary generated by ChatGPT 5

GenAI News

This Professor Let Half His Class Use AI. Here’s What Happened

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A split classroom scene with a professor in the middle, presenting data. The left side, labeled "GROUP A: WITH AI," shows disengaged students with "F" grades. The right side, labeled "GROUP B: NO AI," shows engaged students with "A+" grades, depicting contrasting outcomes of AI use in a classroom experiment. Image (and typos) generated by Nano Banana.
An academic experiment unfolds: Visualizing the stark differences in engagement and performance between students who used AI and those who did not, as observed by one professor. Image (and typos) generated by Nano Banana.

Source

Gizmodo

Summary

A study by University of Massachusetts Amherst professor Christian Rojas compared two sections of the same advanced economics course—one permitted structured AI use, the other did not. The results revealed that allowing AI under clear guidelines improved student engagement, confidence, and reflective learning but did not affect exam performance. Students with AI access reported greater efficiency and satisfaction with course design while developing stronger habits of self-correction and critical evaluation of AI outputs. Rojas concludes that carefully scaffolded AI integration can enrich learning experiences without fostering dependency or academic shortcuts, though larger studies are needed.

Key Points

  • Structured AI use increased engagement and confidence but not exam scores.
  • Students used AI for longer, more focused sessions and reflective learning.
  • Positive perceptions grew regarding efficiency and instructor quality.
  • AI integration encouraged editing, critical thinking, and ownership of ideas.
  • Researchers stress that broader trials are required to validate results.

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URL

https://gizmodo.com/this-professor-let-half-his-class-use-ai-heres-what-happened-2000678960

Summary generated by ChatGPT 5

GenAI News

Where Does Human Thinking End and AI Begin? An AI Authorship Protocol Aims to Show the Difference

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A split image contrasting human and AI cognitive processes. On the left, a woman writes, surrounded by concepts like "HUMAN INTUITION" and "ORIGINAL THOUGHT." On the right, a man works at a computer, with "AI GENERATION" and "COMPUTATIONAL LOGIC" displayed. A central vertical bar indicates an "AUTHORSHIP PROTOCOL: 60% HUMAN / 40% AI." Image (and typos) generated by Nano Banana.
Decoding authorship: A visual representation of the intricate boundary between human creativity and AI generation, highlighting the need for protocols to delineate their contributions. Image (and typos) generated by Nano Banana.

Source

The Conversation

Summary

Eli Alshanetsky, a philosophy professor at Temple University, warns that as AI-generated writing grows increasingly polished, the link between human reasoning and authorship is at risk of dissolving. To preserve academic and professional integrity, his team is piloting an “AI authorship protocol” that verifies human engagement during the creative process without resorting to surveillance or detection. The system embeds real-time reflective prompts and produces a secure “authorship tag” confirming that work aligns with specified AI-use rules. Alshanetsky argues this approach could serve as a model for ensuring accountability and trust across education, publishing, and professional fields increasingly shaped by AI.

Key Points

  • Advanced AI threatens transparency around human thought in writing and decision-making.
  • A new authorship protocol links student output to authentic reasoning.
  • The system uses adaptive AI prompts and verification tags to confirm engagement.
  • It avoids intrusive monitoring by building AI-use terms into the submission process.
  • The model could strengthen trust in professions dependent on human judgment.

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URL

https://theconversation.com/where-does-human-thinking-end-and-ai-begin-an-ai-authorship-protocol-aims-to-show-the-difference-266132

Summary generated by ChatGPT 5

GenAI News

English Professors Take Individual Approaches to Deterring AI Use

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A triptych showing three different English professors employing distinct methods to deter AI use. The first panel shows a professor lecturing on critical thinking. The second shows a professor providing personalized feedback on a digital screen. The third shows a professor leading a discussion with creative prompts. Image (and typos) generated by Nano Banana.
Diverse strategies in action: English professors are developing unique and personalised methods to encourage original thought and deter the misuse of AI in their classrooms. Image (and typos) generated by Nano Banana.

Source

Yale Daily News

Summary

Without a unified departmental policy, Yale University’s English professors are independently addressing the challenge of generative AI in student writing. While all interviewed faculty agree that AI undermines critical thinking and originality, their responses vary from outright bans to guided experimentation. Professors Stefanie Markovits and David Bromwich warn that AI shortcuts obstruct the process of learning to think and write independently, while Rasheed Tazudeen enforces a no-tech classroom to preserve student engagement. Playwriting professor Deborah Margolin insists that AI cannot replicate authentic human voice and creativity. Across approaches, faculty emphasise trust, creativity, and the irreplaceable role of struggle in developing genuine thought.

Key Points

  • Yale English Department lacks a central AI policy, favouring academic freedom.
  • Faculty agree AI use hinders original thinking and creative voice.
  • Some, like Tazudeen, impose no-tech classrooms to deter reliance on AI.
  • Others allow limited exploration under clear guidelines and reflection.
  • Consensus: authentic learning requires human engagement and intellectual struggle.

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URL

https://yaledailynews.com/blog/2025/10/29/english-professors-take-individual-approaches-to-deterring-ai-use/

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GenAI News

Is Increasing Use of AI Damaging Students’ Learning Ability?

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A split image contrasting two groups of students in a classroom. On the left, a blue-lit side represents "COGNITIVE DECAY" with students passively looking at laptops receiving "EASY ANSWERS." On the right, an orange-lit side represents "CRITICAL THINKING" and "CREATIVITY" with students actively collaborating and working. Image (and typos) generated by Nano Banana.
A critical question posed: Does the growing reliance on AI lead to cognitive decay, or can it be harnessed to foster critical thinking and creativity in students? Image (and typos) generated by Nano Banana.

Source

Radio New Zealand (RNZ) – Nine to Noon

Summary

University of Auckland professor Alex Sims examines whether the growing integration of artificial intelligence in classrooms and lecture halls enhances or impedes student learning. Drawing on findings from an MIT neuroscience study and an Oxford University report, Sims highlights both the cognitive effects of AI use and students’ own accounts of its impact on motivation and understanding. The research suggests that while AI tools can aid efficiency, overreliance may disrupt the brain processes central to deep learning and independent reasoning. The discussion raises questions about how to balance technological innovation with the preservation of critical thinking and sustained attention.

Key Points

  • AI use in education is expanding rapidly across levels and disciplines.
  • MIT research explores how AI affects neural activity linked to learning.
  • Oxford report includes students’ perceptions of AI’s influence on study habits.
  • Benefits include efficiency; risks include reduced cognitive engagement.
  • Experts urge educators to maintain a balance between AI support and active learning.

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URL

https://www.rnz.co.nz/national/programmes/ninetonoon/audio/2019010577/is-increasing-use-of-ai-damaging-students-learning-ability

Summary generated by ChatGPT 5

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