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Can AI prediction dashboards help online groups?
Combining AI performance prediction with learning analytics reshaped analysis of online graduate groups' collaboration in an engineering course.
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How many graduate students participated?
62 (43 master's and 19 doctoral).
Source: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course · DOI · quote verified
Into how many groups were students placed?
15 groups of four to five.
Source: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course · DOI · quote verified
How long was the online course?
Eight weeks.
Source: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course · DOI · quote verified
What course title framed the study?
Smart Marine Structure.
Source: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course · DOI · quote verified
How many DingTalk discussion files were analysed?
105 files (15 groups × 7 weeks).
Source: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course · DOI · quote verified
How many personal reflection files were collected?
62 files.
Source: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course · DOI · quote verified
What SNA measure showed a significant difference with F = 4.90?
Density.
Source: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course · DOI · quote verified
What weekly productive task did groups complete in Weeks 2–6?
Five collaborative writing tasks on a weekly basis.
Source: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course · DOI · quote verified
What can AI performance prediction models help identify?
At-risk students, among other instructional uses.
Source: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course · DOI · quote verified
How long was each class session?
90 minutes, twice weekly.
Source: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course · DOI · quote verified
What field were participants majoring in?
Ocean engineering.
Source: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course · DOI · quote verified
What broader instructional goal do the authors assign to AI learning analytics?
Use AI to organize, analyze, and understand data for decision-making and supporting student success.
Source: Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course · DOI · quote verified