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Data-Driven Feedback Beyond Next-Step Hints
| Content Provider | CiteSeerX |
|---|---|
| Author | Eagle, Michael Barnes, Tiffany |
| Abstract | Intelligent tutors have been shown to be as e↵ective as hu-man tutors in supporting learning in many domains. Al-though they can be very e↵ective, the construction of intel-ligent tutors can be costly. One way to address this problem is to use previously collected data to generate domain models to provide intelligent feedback to otherwise non-personalized tutors. These data-driven methods for providing next-step hints have been successful in providing feedback to students in procedural problem solving tutors. We seek to expand on next-step hints with other data-driven methods. We outline three di↵erent interventions, all of which can be generated using previously collected student data. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Data-driven Feedback Beyond Next-step Hint Data-driven Method Next-step Hint Many Domain Hu-man Tutor Domain Model Student Data Intel-ligent Tutor Non-personalized Tutor Di Erent Intervention Intelligent Tutor Intelligent Feedback Procedural Problem |
| Content Type | Text |
