Combining Worked Examples and Problem Solving in a Data-Driven Logic Tutor
| Autor: | Tiffany Barnes, Behrooz Mostafavi, Zhongxiu Liu |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
business.industry
Computer science 05 social sciences 050301 education 02 engineering and technology Data-driven Domain (software engineering) Ordered set ComputingMilieux_COMPUTERSANDEDUCATION 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence business TUTOR 0503 education computer computer.programming_language |
| Zdroj: | Intelligent Tutoring Systems ISBN: 9783319395821 ITS |
| DOI: | 10.1007/978-3-319-39583-8_40 |
| Popis: | Previous research has shown that worked examples can increase learning efficiency during computer-aided instruction, especially when alternatively offered with problem solving opportunities. In this study, we investigate whether these results are consistent in a complex, open-ended problem solving domain, where students are presented with randomly ordered sets of worked examples and required problem solving. Our results show that worked examples benefits students early in tutoring sessions, but are comparable to hint-based systems for scaffolding domain concepts. Later in tutoring sessions, worked examples are less beneficial, and can decrease performance for lower-proficiency students. |
| Databáze: | OpenAIRE |
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