| Summary: | 碩士 === 淡江大學 === 資訊工程學系碩士班 === 94 === The thesis proposes a cyclic self-regulated learning system for self-regulated learning. With the support of the self-regulated learning system, the learner can identify his best way for learning, where a learner can get supports from the environmental resources and improve the performance of self-regulated learning. Based on the self-regulatory learning theories, five subsystems, Learning Scheduler Subsystem, Schedule Review Subsystem, Learning and Monitoring Subsystem, Analysis Subsystem, and Self-Evaluation Subsystem, are proposed. Learning Scheduler Subsystem helps learners schedule their learning by providing personal historical learning records. The schedule results can be reviewed in Schedule Review Subsystem. With the aid of Learning and Monitoring Subsystem, learners can receive many learning resources to enrich their learning experiences. Besides, learners’ learning behaviors are also observed by the subsystem completely. After learning, the learners can self-evaluate their performance by Self-Evaluation Subsystem. The learners’ learning and self-evaluated results, then, will be analyzed by Analysis Subsystem. The analysis results will feedback to learners for next learning scheduling. The experiment indicates that the proposed system helps learners to improve the performance of self-regulated learning.
|
|---|
