Abstract
Operation ARA is a serious game that teaches scientific inquiry using natural language conversations. Within the context of the game, students completed up to two distinct training modules that teach either didactic or applied conceptual information about research methodology (e.g., validity of dependent variables, need for control groups). An experiment using a 4-condition between-subjects pretest-interaction-posttest design was conducted in which 81 undergraduate college students interacted with varying modules of Operation ARA. The four conditions were designed to test the impact of the two distinct modules on different types of learning measured by multiple-choice, short answer, and case-based assessment questions. Results revealed significant differences on training condition and learning gains on two of the three types of questions.
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Forsyth, C., Graesser, A., Walker, B., Millis, K., Pavlik, P.I., Halpern, D. (2013). Didactic Galactic: Types of Knowledge Learned in a Serious Game. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds) Artificial Intelligence in Education. AIED 2013. Lecture Notes in Computer Science(), vol 7926. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39112-5_124
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DOI: https://doi.org/10.1007/978-3-642-39112-5_124
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