Abstract | ||
---|---|---|
Games may be fun to play, but do they help students learn? In this position paper, the authors argue that games are an effective mechanism to achieve deep learning and help students retain information, but only if those games are designed appropriately. To support this position, the paper provides a short overview of game-based learning theory, followed by three example training games with which the authors have had success. |
Year | DOI | Venue |
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2008 | 10.1109/REET.2008.2 | REET |
Keywords | Field | DocType |
effective design,effective mechanism,position paper,example training game,short overview,deep learning,requirements engineering training games,game-based learning theory,requirement engineering,probability density function,computer science education,game theory,materials,data mining,games,engineering education | Video game design,Game mechanics,Turns, rounds and time-keeping systems in games,Learning theory,Computer science,Position paper,Requirements engineering,Engineering education,Game theory,Multimedia | Conference |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mike Alexander | 1 | 65 | 21.18 |
Joy Beatty | 2 | 11 | 1.40 |