Effects of an AI-supported approach to peer feedback on university EFL students' feedback quality and writing ability

Guo, Kai; Pan, Mengru; Li, Yuanke; Lai, Chun

doi:10.1016/j.iheduc.2024.100962

The Internet and Higher Education

2024

DOI: 10.1016/j.iheduc.2024.100962

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Effects of an AI-supported approach to peer feedback on university EFL students' feedback quality and writing ability

Kai Guo,

Mengru Pan,

Yuanke Li

et al.

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Cited by 6 publications

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Key points LLM has attained generative capabilities similar to human discourse and can effectively summarize documents and extract information from texts. The development of R.A.G. systems will soon make these systems capable to browse databases such as MEDLINE and extract knowledge, creating summaries of the literature. These summaries may soon reach a point where they are equivalent to current reviews of the literature, possibly making them irrelevant. The availability of automated summaries of the literature may raise the bar of what is still worth publishing. Literature reviews may have to capitalize on human imagination, creativity and abstraction capabilities to survive the A.I. revolution.

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Intelligent summaries: Will Artificial Intelligence mark the finale for biomedical literature reviews?

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2024

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Effects of GenAI-empowered interactive support on university EFL students' self-regulated strategy use and engagement in reading

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Effects of an AI-supported approach to peer feedback on university EFL students' feedback quality and writing ability

Cited by 6 publications

References 54 publications

Intelligent summaries: Will Artificial Intelligence mark the finale for biomedical literature reviews?

Intelligent summaries: Will Artificial Intelligence mark the finale for biomedical literature reviews?

Modeling AI-assisted writing: How self-regulated learning influences writing outcomes

Effects of GenAI-empowered interactive support on university EFL students' self-regulated strategy use and engagement in reading

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