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Promises and challenges of generative artificial intelligence for human learning.

Lixiang Yan1, Samuel Greiff2,3,4, Ziwen Teuber5

  • 1Faculty of Information Technology, Monash University, Melbourne, Victoria, Australia.

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Generative artificial intelligence (GenAI) can revolutionize education by offering personalized support and innovative assessments. However, developing AI literacy is crucial to harness its benefits while mitigating risks to human learning and critical thinking.

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Area of Science:

  • Educational Technology
  • Learning Sciences
  • Human-Computer Interaction

Background:

  • Generative artificial intelligence (GenAI) presents transformative potential for education.
  • Integrating GenAI requires a multidisciplinary approach, drawing from learning sciences, educational technology, and human-computer interaction.

Purpose of the Study:

  • To examine the integration of GenAI as a tool for human learning.
  • To address the promises and challenges of GenAI in educational contexts.

Main Methods:

  • Holistic viewpoint integrating insights from learning sciences, educational technology, and human-computer interaction.
  • Analysis of GenAI's potential benefits and challenges in learning environments.

Main Results:

  • GenAI can enhance learning through personalized support, diverse materials, timely feedback, and innovative assessments.
  • Critical issues include model imperfections, ethical dilemmas, and disruption of traditional assessments.

Conclusions:

  • Cultivating AI literacy and adaptive skills is essential for informed GenAI engagement.
  • Rigorous research is needed to evaluate GenAI's impact on cognition, metacognition, and creativity.
  • Humanity must learn with and about GenAI to ensure it serves as an ally, not a detriment, to intellectual abilities.