互动性
流量(数学)
结果(博弈论)
心理学
过程(计算)
数学教育
体验式学习
任务(项目管理)
代表(政治)
空格(标点符号)
计算机科学
多媒体
物理
机械
数学
管理
数理经济学
政治
政治学
法学
经济
操作系统
作者
Julian Pearce,Mary Ainley,S. Howard
标识
DOI:10.1016/s0747-5632(04)00036-6
摘要
Past research has suggested that Csikszentmihalyi's flow theory describes a state that should be supportive of a student's learning. This paper reports on research that uses the constructs of flow to explore learning in an online environment. An experiment was carried out in which students worked through a learning sequence in the physics domain that had varying degrees of interactivity. Their interactions and flow states were monitored throughout the learning task. The experimental data suggest that flow can be more usefully regarded as a process rather than just an overall state. This process is represented by flow-paths that plot each student's progress through challenge-skill space. Some flow patterns are identified that relate to the learning outcomes of the students. While there is some conflict between this process representation and outcome measures for flow, this flow-path portrayal has provided fresh insights into students' interactions in online learning environments.
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