【作 者】：
李玉斌， 苏丹蕊， 李秋雨， 任永功
【关 键 词 】：
混合学习环境； 深度学习； 量表； 评价工具； 大学生
【栏 目】：
课程与教学
【中文摘要】：
混合学习环境下的深度学习是当前教育技术领域的重要研究课题之一，大量的研究工作已经展开。不过，从选题来看，更多研究集中在“深度学习的概念、特征、机制、模型及其支持技术”等范畴，对“深度学习质量测量”的研究还相对较少，尤其是专门针对“混合学习环境下深度学习量表”的研究则更少。工欲善其事，必先利其器，缺乏量表势必会影响研究的质量。为此，文章按照科学的量表编制程序，专门开发了面向混合学习环境的大学生深度学习量表。该量表共计包括36个测量项目，涉及深度学习动机、深度学习投入、深度学习策略和深度学习结果等四个维度。复测数据结果显示，量表的Cronbach's alpha系数为0.971，CFA拟合指标良好，表明该量表是一份质量较高的测量量表。
【英文摘要】：
Deep learning in blended learning environment is one of important research issues in the field of educational technology, and a large amount of research work has already done. However, from the perspective of topic selection, most studies focus on the concept, characteristics, mechanism, model and supporting technologies of deep learning, while there are relatively few studies on "quality measurement of deep learning", especially those on "deep learning scale in blended learning environment". A workman must (first) sharpen his tools if he is to do his work well. The lack of scale will certainly affect the quality of research. Therefore, according to the scientific scale-compiling program, this paper develops the college students' deep learning scale for blended learning environment. This scale consists of 36 measurement items, involving deep learning motivation, deep learning engagement, deep learning strategy and deep learning result. The results of retest show that the Cronbach coefficient of the scale is 0.971 and the CFA fitting index is good, which indicates that the quality of the measurement scale is high .