Day: 18 September 2025

AI teaching tools not a panacea, but can be a force multiplier

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In a modern conference room with a city skyline view, two groups of students and a central female and male instructor are divided by a glowing, split-color light. On the left (red side), the text 'AI: NOT A PANECA' is displayed with error icons. On the right (blue side), 'AI: FORCE MULTIPLIFER' is displayed with growth and brain icons. Light streams intensely between the instructors, symbolizing AI's dual nature. The scene conveys a balanced perspective on AI's role in education. Generated by Nano Banana.
While AI teaching tools are certainly not a ‘panacea’ for all educational challenges, they possess immense potential as a ‘force multiplier,’ significantly enhancing learning experiences. This image visually contrasts AI’s limitations with its power to augment human capabilities, underscoring a nuanced approach to its integration in the classroom. Image (and typos) generated by Nano Banana.

Source

The New Indian Express

Summary

The author argues that while AI teaching tools are gaining attention, their value shows only when paired with thoughtful pedagogy, not when used in isolation. Meta-analyses and classroom studies suggest AI tools (adaptive quizzes, personalised feedback) can enhance student performance and time management—but only in learning environments where human feedback, active engagement, and scaffolding remain central. AI should assist, not replace, the relational, ethical, and mentoring roles of teachers. Without integrating AI into active learning, its benefits are diluted; it risks becoming mere decoration.

Key Points

  • AI tools deliver gains when embedded into active, interactive teaching—not used as standalone replacements.
  • Meta-studies show stronger outcomes when technology is personalised and integrated rather than simply overlaid.
  • Students report improved time management and performance when AI offers real-time feedback and adaptive quizzing.
  • Pedagogical design (feedback loops, scaffolding, mentor oversight) remains essential; AI alone doesn’t do that work.
  • AI cannot replicate human qualities such as creativity, ethics, judgement, and emotional understanding.

Keywords

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URL

https://www.newindianexpress.com/opinions/2025/Sep/18/ai-teaching-tools-not-a-panacea-but-can-be-a-force-multiplier

Summary generated by ChatGPT 5

GenAI News

Students are using AI tools instead of building foundational skills – but resistance is growing

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In a dimly lit library, a focused male student interacts with a glowing holographic display from his laptop, showing complex data. A red, crackling energy line extends from the display towards his hands. On the desk, an open notebook beneath it is titled 'FOUNDATIONAL SKILLS: UNDERSTANDING' with handwritten equations. Other students are visible in the background, implying a widespread trend. The scene contrasts AI tool usage with fundamental learning. Generated by Nano Banana.
The convenience of AI tools poses a growing dilemma for students: relying on them for quick answers versus engaging in the hard work of building foundational knowledge. While the allure of efficiency is strong, a movement towards prioritising true understanding and essential skills is gaining momentum. Image generated by Nano Banana.

Source

ZDNet

Summary

The rapid uptake of AI in education is fuelling concerns that students are outsourcing critical thinking and failing to build long-term skills. While AI helps with grading, planning, and coding, academics worry about “hollow” assignments that lack depth and originality. Some professors highlight students’ inability to explain code produced with AI, exposing gaps in understanding. In response, a coalition of technology faculty issued an open letter urging universities to resist uncritical adoption, warning of dependence, loss of expertise, and damage to academic freedom. Advocates argue AI should supplement—not replace—foundational skills, with careful vetting and practical use.

Key Points

  • AI is heavily used in classrooms, but risks undermining deep learning and original thought.
  • Examples show students submitting near-identical AI essays or failing to explain AI-written code.
  • Professors call for limits and redesigns to safeguard academic freedom and integrity.
  • Concerns include declining quality of computer science education and over-reliance on prompting tools.
  • Best practice is to adopt AI deliberately, ensuring it serves genuine educational purposes.

Keywords

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URL

https://www.zdnet.com/article/students-are-using-ai-tools-instead-of-building-foundational-skills-but-resistance-is-growing/

Summary generated by ChatGPT 5

GenAI News

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

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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

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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

GenAI News

AI has turned college exams into a ‘wicked problem’ with no obvious fix, researchers warn

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In a vast, traditional exam hall filled with students taking tests on laptops, three concerned researchers stand in the foreground, looking up at a large, glowing holographic display. The display shows complex data and a central neon pink circle stating 'THE AI EXAM PROBLEM - NO OBVIOUS FIX'. The image highlights the profound challenge AI poses to the integrity of college examinations. Generated by Nano Banana.
The integration of AI has transformed college exams into a complex ‘wicked problem’ with no easy solutions, as educational researchers increasingly warn. This image visualises the dilemma, where traditional assessment methods clash with advanced AI tools, creating a challenging landscape for academic integrity and fair evaluation. Image generated by Nano Banana.

Source

Business Insider

Summary

A recent study from Deakin University warns that AI’s impact on university exams represents a “wicked problem” — one without a single clean solution. Educators are struggling to balance academic integrity, creative assessment, and workload. Some are experimenting with mixed approaches (e.g. AI-free vs AI-permitted assignments, oral exams, personalized prompts), but each introduces trade-offs: logistics, fairness, and staff burden. The study argues universities should abandon chasing one-size-fits-all fixes and instead adopt flexible, context-sensitive, iterative strategies that acknowledge complexity rather than resolve it once and for all.

Key Points

  • AI has made exam design and assessment much harder; there is no consensus among faculty about how to respond.
  • Trade-offs are everywhere: authenticity vs manageability, creativity vs scalability.
  • Some teachers offer AI-free and AI-allowed tasks; others try oral exams or reflective work—but all find challenges.
  • Assessment methods are being revised to make misuse harder, but costs (time, logistics, ethics) are substantial.
  • The “wicked problem” framing suggests there’s no perfect fix; success may lie in local experimentation and flexible policy rather than universal rules.

Keywords

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URL

https://www.businessinsider.com/ai-college-exams-wicked-problem-no-clear-fix-researchers-warn-2025-9

Summary generated by ChatGPT 5

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