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自主在线案例学习体验的构念模型研究——基于结构方程模型的探索 被引量:8

A Multi-Construct Model for Self-Directed Online Case-Based Learning Experience——A Structural Equation Modeling Study
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摘要 网络学习环境能够将多媒体、超媒体以及各种交互功能有机地整合在案例的设计开发中,为自主在线案例学习提供可能。在线案例因其真实性、趣味性、交互性和启发性,近年来受到越来越多的关注,然而目前针对其学习体验的问卷工具比较匮乏,亦缺少对其核心构念的深入探索。针对该研究需求,根据案例教学的相关理论以及问卷信效度检验结果,设计并完善了一份测量学习者自主在线案例学习体验的问卷工具。通过对问卷结果的探索性因子分析,最终确定了"案例情境性""媒体交互性""开放探索性""自主学习特性"和"学习感知效果"五个核心构念,并利用结构方程模型对这些构念之间的关系进行了探索与检验。研究结果对深入理解自主在线案例学习的核心构念和指导在线案例的设计、开发与评估具有一定理论价值。 Online learning environment allows for seamless integration of multimedia,hypermedia and various interactive functions into the case design,therefore provides feasibility for self-directed online case-based learning(CBL).Due to its authenticity,appeal,interactivity and thought-provocativeness,online CBL has received increasing attention from researchers.However,there is a lack of survey tools that measure such learning experience,and the relationship between its key constructs were rarely investigated in the literature.To address this research need,this study designed and validated a learning experience questionnaire(LEQ)for self-directed online CBL.Based on the results of LEQ and exploratory factor analysis,this study identified case contextuality,interactive multimedia,open and explorative nature,self-directedness and perceiveX learning effects as key constructs of self-directed online CBL.Using structural equation modeling,this study proposed and validated a multi-construct model to demonstrate the relationship between those constructs.The study findings are expected to extend our understanding of self-directed online CBL and inform the design,development and evaluation of online cases.
作者 罗恒 杨婷婷 LUO Heng;YANG Tingting(School of Educational Information and Technology,Central China Normal University,Wuhan 430079,China)
机构地区 华中师范大学
出处 《现代远距离教育》 CSSCI 北大核心 2018年第2期83-91,共9页 Modern Distance Education
基金 2014年教育部哲学社会科学重大课题攻关项目"信息技术支持下的教育教学模式研究"(编号:14JZD044) 2016年教育部人文社会科学青年基金项目"面向大规模在线教育的众包评测模型研究"(编号:16YJC880054)
关键词 案例教学 自主在线学习 问卷信效度 探索性因子分析 结构方程模型 cased - based learning self - directed online laming questionnaire r liability and validity exploratory factor analysis structural equation modeling
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