Modeling the Self-Regulated Learning Behaviors of Graduate Students in Online Academic Reading and Writing Environments

摘要: In this chapter, the authors demonstrate two cases of self-regulated learning behavior analysis in academic reading and writing. first case, graduate students are participated a negotiated assessment, which provided additional opportunities to negotiate with system for changing their estimated ability comprehension after tests. The negotiation actions mainly include checking results, explaining taking tests, evaluating ability, proposing questions, answering making decisions. second an online writing system, scaffolding process. process includes phases literature searching, reading, paper planning, peer commenting, Behavioral data both was collected more than 2 months. adopt hidden Markov models analyze order capture temporal dynamic nature learning. learners, states assumed as cognitive, metacognitive, or resource management strategies, consisted various probabilities. By interpreting comparing cases, may conclude several patterns behaviors.