Abstract
Alternate reality games (ARGs) are a promising new approach for increasing student engagement; however, automated methods for analyzing and optimizing game play are non-existent. We captured the player communication generated by a recent STEM-focused ARG that we piloted in a Los Angeles charter high school. We used shallow sentiment analysis to gauge the levels of various emotions experienced by the players during the course of the game. Pre/post-game surveys gauged whether the game narratives had any effect on student engagement and interest in STEM topics.
Original language | English |
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Pages (from-to) | 29-32 |
Number of pages | 4 |
Journal | CEUR Workshop Proceedings |
Volume | 1009 |
State | Published - 2013 |
Event | Workshops at the 16th International Conference on Artificial Intelligence in Education, AIED 2013 - Memphis, United States Duration: 9 Jul 2013 → 13 Jul 2013 |