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ERIC Number: ED592703
Record Type: Non-Journal
Publication Date: 2016
Pages: 8
Abstractor: As Provided
Measuring Gameplay Affordances of User-Generated Content in an Educational Game
Hicks, Drew; Liu, Zhongxiu; Eagle, Michael; Barnes, Tiffany
International Educational Data Mining Society, Paper presented at the International Conference on Educational Data Mining (EDM) (9th, Raleigh, NC, Jun 29-Jul 2, 2016)
Level creation is a creative game-play exercise that resembles problem-posing, and has shown to be engaging and helpful for players to learn about the game's core mechanic. However, in user-authoring environments, users often create levels without considering the game's objective, or with entirely different objectives in mind, resulting in levels which fail to afford the core gameplay mechanic. This poses a bigger threat to educational games, because the core gameplay is aligned with the learning objectives. Therefore, such levels fail to provide any opportunity for players to practice the skills the game is designed to teach. To address this problem, we designed and compared three versions of level creators in a programming game -- Freeform, Programming, and Building-Block. Our results show that a simple-to-use building-block editor can guarantee levels that contain some affordances, but an editor designed to use the same core mechanic as gameplay results in the highest-quality levels. [For the full proceedings, see ED592609.]
International Educational Data Mining Society. e-mail:; Web site:
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: 0900860; 1252376