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Practical and ethical challenges of large language models in education: A systematic scoping review
16 references·0 citing·52 second hop
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References

  • 2019Systematic review of research on artificial intelligence applications in higher education – where are the educators?12,114 cited
  • 2021The PRISMA 2020 statement: An updated guideline for reporting systematic reviews12,012 cited
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  • 2023ChatGPT for good? On opportunities and challenges of large language models for education11,658 cited
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  • 2023ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?2,335 cited
  • 2019Principles alone cannot guarantee ethical AI2,113 cited
  • 2021Ethical and social risks of harm from Language Models1,225 cited
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  • 1977The practicality ethic in teacher decision-making577 cited
  • 2021Human-centered artificial intelligence in education: Seeing the invisible through the visible457 cited
  • 2000Findings from the Teaching, Learning, and Computing Survey455 cited
  • 2019Understanding Sustainable Development Goal (SDG) 4 on “quality education” from micro, meso and macro perspectives

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378 cited
  • 2022Large pre-trained language models contain human-like biases of what is right and wrong to do291 cited
  • 2022The Ethics of Artificial Intelligence in Education258 cited
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