e-러닝환경에서 자기조절학습을 지원하는 도구의 프로토타입 개발
Development of Prototype Tools to Support Self-Regulated Learning in e-Learning Environment
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초록
e-러닝환경에서 학습자는 보다 효과적인 자기조절학습능력을 지녀야 하며, 이를 지원할 도구가 필요하다. 이 연구의 목적은 e-러닝환경에서 교수-학습전략에 맞으면서 자기조절학습의 하위 범주별로 유용한 자기조절도구를 개발하는데 있었다. 이를 위해서 먼저 선행연구 분석과 전문가 검토를 통해서 자기조절도구의 설계지침과 기능을 탐색하였다. 이 기능들을 바탕으로 e-러닝 환경에서 활용가능한 자기조절도구를 구현하였다. 이 도구는 크게 인지조절도구, 동기·정서조절도구, 행동조절도구, 맥락조절도구로 구성되어 있다. 인지조절도구에는 시연, 정교화, 조직화, 계획, 점검, 수정에 해당하는 기능이 구현되었다. 동기·정서조절도구에 구현된 기능들은 목표설정, 자기효능감, 성취가치의 영역에 해당하는 것이다. 행동조절도구에는 행동통제(의지), 도움구하기, 시간관리에 해당하는 기능이 구현되었다. 맥락조절도구에 구현된 기능들은 과제관리와 학습맥락관리의 영역에 해당하는 것이다. 이 도구는 웹으로 구현된 거의 모든 학습내용과 통합해서 사용될 수 있기 때문에 활용도가 높을 것이다. 또한, 이 도구에 기록된 흔적자료를 통해서 학습자의 자기조절 정도를 측정할 수도 있다. 이 연구는 e-러닝환경에서 자기조절도구의 구현에 초점을 두었기 때문에 이들 도구의 활용전략과 효과를 탐색하는 연구가 제안되었다.
Abstract
The purpose of this study is to develop tools that support and facilitate learners to engage in more effective self-regulated learning in e-Learning environments. We analyzed existing studies and tools on self-regulated learning to find out functions that tools should possess. Based on the functions, we developed tools that support learners' self-regulated learning in e-Learning, more specifically tools that can be utilized in Web environment. This tools were composed of cognition regulatory tool, motivation/affection regulatory tool, action regulatory tool, and context regulatory tool. Cognition regulatory tool had functions of rehearsal, elaboration planning, monitoring, regulation, and organization. Motivation/affection regulatory tool had functions of goal orientation, self-efficacy, and achievement value. Action regulatory tool had functions of action control, help-seeking, and academic time-management. Context regulatory tool had functions of task management and learning context management. We expect the tools we developed will be utilized in a wide range of learning contents in Web environment. The tools also will enable us to collect and measure learners self-regulated learning behaviors more precisely because they provide better means of tracing learners' self-regulatory behaviors in e-Learning. We suggest further studies with experiential data that will validate tools developed in this study.
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