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Artificial Intelligence and Learning

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Artificial Intelligence and Learning

 
  • Learning requires effort: Students learn best by actively thinking, recalling information and solving problems themselves.

  • Feedback improves learning: AI can give quick feedback, but students must use it to revise and improve their work.

  • AI can create false confidence: Students may think they understand a topic without being able to explain it or apply it independently.

  • AI should support, not replace, learning: It can help explain concepts and practise skills, but students still need to think and work independently.

Few topics in higher education generate as much debate right now as the role artificial intelligence in all aspects of teaching and learning. Faculty listservs, teaching centres and national conferences are awash in urgent questions: Is AI undermining learning? Is it encouraging cheating? Is it decreasing critical thinking skills? Should it be banned, regulated, or embraced? Students, meanwhile, are already using AI tools extensively, and often more extensively than their instructors realize.

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