Cited by 22

A validation of AI-enabled discussion platform metrics and relationships to student efforts

Archibald, Audon, Hudson, Cassie, Heap, Tania, Thompson, Ruthanne “Rudi”, Lin, Lin, DeMeritt, Jaqueline, Lucke, Heather·2023·TechTrends

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  • Archibald et al. (2023) showed that an AI-enabled discussion platform accurately calculated students' curiosity scores to present their engagement in discussion, further reducing teachers' assessment workload and facilitating their intervention based on the quality of posts written by students.

    “For instance, Archibald et al. (2023) showed that an AI-enabled discussion platform accurately calculated students' curiosity scores to present their engagement in discussion, further reducing teachers' assessment workload and facilitating their intervention based on the quality of posts written by students.”

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Research works printed but not linked: 31

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Cited by

Authors
Archibald, A., Hudson, C., Heap, T., Thompson, R. “., Lin, L., DeMeritt, J., & Lucke, H.
Venue
TechTrends
Published
2023-01-21
Volume
67
Issue
2
Pages
285-293
ISSN
  • 8756-3894
  • 1559-7075
Cited by
22
References
1
Language
en

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