專題演講 主講人：鄭夢慈教授(彰化師範大學生物學系)
題 目：Analyzing game data to illuminate student content-specific gameplay decisions
主講人：鄭夢慈教授(彰化師範大學生物學系)
時 間：111年10月28日(星期五)上午10:40-11:30
(上午10:20-10:40茶會於交大統計所428室舉行)
地 點：綜合一館427室
使用Google Meet線上直播，
演講開始前20分鐘可進入會議，請點選下列連結後按下「要求加入」即可
摘要
Games can be rich environments for learning and can elicit evidence of students’ conceptual understanding and inquiry processes. Illuminating students’ content-specific gameplay decisions, or methods of completing game tasks related to a certain domain, requires a context that is open-ended enough for students to make choices that demonstrate their thinking. Doing this also requires rich log data and methods of Game Learning Analytics (GLA) that are granular enough to look at the specific choices most relevant to that context and domain. In the talk, I will present research done on student exploration of high school level Mendelian genetics in a multiplayer online game called The Radix Endeavor by closely collaborating with MIT Education Arcade. Some of the ways in which gameplay data can be analyzed to yield results that feed back into the learning ecosystem will be discussed.
