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- W2001369911 abstract "In the foreseeable future it will be technically possible for instructors, advisors and other delegated representatives of a college or university to access student participation and performance data in near-real time. One potential benefit of this increased data flow could include an improved ability to identify students at risk of academic failure or withdrawal. The availability of these data could also lead to creation of new adaptive learning measures that can automatically provide students personalized guidance." @default.
- W2001369911 created "2016-06-24" @default.
- W2001369911 creator A5066213602 @default.
- W2001369911 date "2014-03-24" @default.
- W2001369911 modified "2023-09-23" @default.
- W2001369911 title "Analyzing student notes and questions to create personalized study guides" @default.
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- W2001369911 doi "https://doi.org/10.1145/2567574.2567576" @default.
- W2001369911 hasPublicationYear "2014" @default.
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