PERC 2018 Abstract Detail Page
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Abstract Title: | Measuring the effectiveness of online problem-solving tutorials by multi-level knowledge transfer |
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Abstract: | Students' problem-solving performance is the most direct measurement of the effectiveness of any instructional materials in physics. However, a challenge in selecting appropriate assessment problem is that if the problem is too similar to the instruction, then it might measure rote memorization over understanding, whereas if a problem is too dissimilar, then students' knowledge gain might not be sufficient for them to solve the problem correctly. We try to resolve this dilemma using online learning technology, by providing students with three opportunities to solve problems that are increasingly dissimilar to the instruction in the form of an online problem-solving tutorial, and receiving additional feedback on their second opportunity. We found that in some cases students may only gain the ability to transfer their learning to a new problem until the last attempt. |
Abstract Type: | Contributed Poster Presentation |
Session Time: | Poster Session II |
Poster Number: | B11 |
Contributed Paper Record: | Contributed Paper Information |
Contributed Paper Download: | Download Contributed Paper |
Author/Organizer Information | |
Primary Contact: |
Zhongzhou Chen University of Central Florida Physics Department 4111 Libra Drive Room 153 Orlando, FL 32828 Phone: 2177218411 |
Co-Author(s) and Co-Presenter(s) |
Kyle Whitcomb, University of Pittsburgh Chandralekha Singh, University of Pittsburgh |
Contributed Poster | |
Contributed Poster: | Download the Contributed Poster |