Effectiveness of an Intelligently Adaptive CAI Environment with Cognitive Apprenticeship on Self-Regulated Learning Skills

A group of cognitive psychologists identifies effective learners as self-regulated learners who are metacognitively, motivationally, and behaviorally active. This study was concerned with how to prepare computerized learning environments to help the ineffective learners become effective self-regulated learners. This study investigated the effects of two different computer-assisted instructional (CAI) environments and the effects of self-awareness of cognitive tempo styles on college students' self-regulated learning (SRL) skills and their academic achievement scores. MANOVA tests revealed that an intelligently adaptive CAI environment was significantly more effective on behavioral SRL skills than a totally learner-controlled CAI environment. This study suggests that educators and instructional designers invest their efforts in developing and utilizing CAI that serves as an intelligent partner to human cognition and that helps learners become self-regulated learners.