【作 者】：
尹 睿， 何淑茵
【关 键 词 】：
循证教学评价； 混合学习投入； 多源数据
【栏 目】：
课程与教学
【中文摘要】：
在“互联网+教育”时代，混合学习是高等教育的主流教学形态，学习投入是衡量混合学习质量的重要指标。循证教学评价关注全过程教学证据的多源采集，强调对教学过程及其成效做出多维评估与测量，为混合学习投入评价提供新思路。文章借鉴循证教学评价的思路，结合混合学习线上线下融合的特点，从“学习活动—学习投入—学习数据”的对应关系，建立起混合学习投入评价的多源数据表征模型；从行为、认知、情感与社交四个层面确立了混合学习投入评价的多源数据融合方法；进而提出了基于多源数据的混合学习投入评价过程，包含数据采集、数据关联、数据融合、解释与决策四个阶段。通过实证研究发现，在混合学习课程中，来自在线教学平台日志、课堂教学录像、学习表现与成效等多源数据能较为准确测评学生混合学习投入类型与表现，并对混合学习投入状态有着良好预测。
【英文摘要】：
In the era of "Internet + Education", blended learning has become the primary teaching approach in higher education, with learning engagement emerging as a crucial metric for assessing the quality of blended learning. Evidence-based teaching evaluation emphasizes the collection of teaching evidence from multiple sources throughout the entire teaching process, and focuses on the multidimensional evaluation and measurement of the teaching process and its effectiveness, providing new ideas for the evaluation of blended learning engagement. This study proposes a multi-source data representation model based on the correspondence of "learning activity, learning engagement, and learning data", combined with the characteristics of online and offline integration in blended learning. Furthermore, a multi-source data fusion method for evaluating blended learning engagement is established from behavioral, cognitive, affective and social levels. This study also proposes an evaluation process of blended learning engagement based on multi-source data, which includes data collection, data combination, data fusion, explanation and decision making. The empirical study finds that in the blended learning course, the multi-source data from online teaching platform logs, classroom videos, and learning performance and effectiveness can accurately measure the type and performance of students' blended learning engagement, and have good predictions on the blended learning engagement status.