How to Select an Example? A Comparison of Selection Strategies in Example-Based Learning
| Autor: | Sebastian Gross, Niels Pinkwart, Barbara Hammer, Bassam Mokbel |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Java
Computer science business.industry Selection strategy Sample (statistics) Machine learning computer.software_genre Intelligent tutoring system Example based learning ComputingMilieux_COMPUTERSANDEDUCATION Selection (linguistics) Domain knowledge Artificial intelligence business computer computer.programming_language |
| Zdroj: | Intelligent Tutoring Systems ISBN: 9783319072203 Intelligent Tutoring Systems |
| DOI: | 10.1007/978-3-319-07221-0_42 |
| Popis: | In this paper, we investigate an Intelligent Tutoring System (ITS) for Java programming that implements an example-based learning approach. The approach does not require an explicit formalization of the domain knowledge but automatically identifies appropriate examples from a data set consisting of learners’ solution attempts and sample solution steps created by experts. In a field experiment conducted in an introductory course for Java programming, we examined four example selection strategies for selecting appropriate examples for feedback provision and analyzed how learners’ solution attempts changed depending on the selection strategy. The results indicate that solutions created by experts are more beneficial to support learning than solution attempts of other learners, and that examples modeling steps of problem solving are more appropriate for very beginners than complete sample solutions. |
| Databáze: | OpenAIRE |
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