Persistence in a Game-Based Learning Environment: The Case of Elementary School Students Learning Computational Thinking
| Autor: | Rotem Israel-Fishelson, Arnon Hershkovitz |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Persistence (psychology)
Computational thinking 05 social sciences Learning analytics 050301 education Game based learning 02 engineering and technology Computer Science Applications Education Interactivity 020204 information systems Concept learning 0202 electrical engineering electronic engineering information engineering Mathematics education Student learning Psychology 0503 education Dropout (neural networks) |
| Zdroj: | Journal of Educational Computing Research. 58:891-918 |
| ISSN: | 1541-4140 0735-6331 |
| Popis: | Persistence has proven to be a great challenge in online learning environments. Gaming and interactivity have been suggested as essential features in reducing dropout and increasing persistence in online learning. Yet in interactive game-based learning environments, persistence in moving forward in the game may come at the expense of investing in each of the game’s levels. That is, the motivation to complete the game may have a deleterious effect on learning at specific levels and hence on learning from the game in general. Therefore, we have chosen to focus on microlevel persistence (i.e., persistence during each component of the learning process). We study microlevel persistence in the context of acquiring computational thinking—the thought process of solving problems through abstraction—which is a key component of the new literacies needed for tomorrow’s citizens. In this study, we analyze data collected from an online, game-based learning environment (CodeMonkey™). The data document the activity of first to sixth graders ( N = 2,040). Overall, we find that persistence is positively associated with difficulty and that the most determined learners were highly persistent across topics in achieving the best solution. |
| Databáze: | OpenAIRE |
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