Predicting Learning in a Multi-component Serious Game

Volume: 25, Issue: 2, Pages: 251 - 277
Published: Jun 1, 2020
Abstract
The current study investigated predictors of shallow versus deep learning within a serious game known as Operation ARA. This game uses a myriad of pedagogical features including multiple-choice tests, adaptive natural language tutorial conversations, case-based reasoning, and an E-text to engage students. The game teaches 11 topics in research methodology across three distinct modules that target factual information, application of reasoning to...
Paper Details
Title
Predicting Learning in a Multi-component Serious Game
Published Date
Jun 1, 2020
Volume
25
Issue
2
Pages
251 - 277
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