Abstract
Educational technology commonly leverages multiple-choice questions for student practice, but short-answer questions hold the potential to provide better learning outcomes. Unfortunately, students in online settings often exhibit little effort when crafting short-answer responses, instead often produce off-topic (or invalid) responses that are off-topic and do not relate to the question being answered. In this study, we consider the effect of entering on-topic short-answer response on student learning and retention. To do this, we first develop a machine learning method to automatically label student open-form responses as either valid or invalid using a small amount of hand-labeled training data. Then, using data from several high school AP Biology and Physics classes, we present evidence that providing valid short-answer responses creates a positive educational benefit on later practice.
Original language | English (US) |
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Pages | 374-375 |
Number of pages | 2 |
State | Published - Jan 1 2017 |
Event | 10th International Conference on Educational Data Mining, EDM 2017 - Wuhan, China Duration: Jun 25 2017 → Jun 28 2017 |
Other
Other | 10th International Conference on Educational Data Mining, EDM 2017 |
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Country/Territory | China |
City | Wuhan |
Period | 6/25/17 → 6/28/17 |
Keywords
- Best educational practices
- Cognitive psychology
- Machine learning
- Mixed effect modeling
- Natural language processing
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems