The effects of game strategy and preference‐matching on flow experience and programming performance in game‐based learning
Bibliographic Data
| ID | 23340239 |
|---|---|
| Authors | Li-Chun Wang (0000-0002-7883-6217, National Taiwan Normal University), Li‐Chun Wang, Ming‐Puu Chen (National Taiwan Normal University, corresponding author) |
| Year | 2010 |
| Volume | 47 |
| Issue | 1 |
| Pages | 39-52 |
| Publication date | 2010-02-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Innovations in Education and Teaching International (JOURNAL) |
| Journal identifiers | ISSN: 1470-3297 • E-ISSN: 1470-3300 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/14703290903525838 |
| OpenAlex | W2087359160 |
| Language | EN |
| Citations received | 78 |
| References cited | 6 |
Learning to program is difficult for novices, even for those undergraduates who have majored in computer science. The study described in this paper has investigated the effects of game strategy and preference‐matching on novice learners’ flow experience and performance in learning to program using an experiential gaming activity. One hundred and fifteen novices participated in the experimental activity. Two types of game strategy were employed: the matching‐challenging strategy and the challenging strategy. Participants were categorised into one or other of the two groups based on individual preferences. The results of the study showed that: (1) the challenging group had higher flow experiences than the matching‐challenging group; (2) participants’ performance was enhanced with the use of the matching strategy; and (3) a compensation effect existed among the preference‐mismatched learners who performed better in the challenging game‐play.
Acknowledgement · Compensation (psychology) · Experiential learning · Game based learning · Matching (statistics) · Mathematics education · Preference · Preference learning · Propensity score matching · Statistics · Computer Science · Educational Games and Gamification · Flow Experience in Various Fields · Intelligent Tutoring Systems and Adaptive Learning · Mathematics · Psychology · Social Psychology
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| Unique citing works | 78 |
|---|---|
| Citations per year | 5,57 |
| Citation span | 2012 - 2026 (15) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 67 |