中国电化教育

人工智能和数据科学技术的快速发展以及循证教育理念的逐步深入,促使教学评价从传统的基于感知的评价向现代的基于证据的评价转变,由此催生循证教学评价。它以教育主体进行施教的全过程为聚焦点,分析教学投入及其学习成效,体现了对以人为本的发展性评价的坚守。循证教学评价的主要要素包括个性化教学、教学时空场域、多源异构数据,三者之间互联互通,并随着教学进程的推进相融共生。循证教学评价在理论设计上是以立德树人成效为核心,以课程教学起点与终点为评价周期,以线下教学与线上教学的融合为场景支撑,包含教学投入、教学证据、教学评测、教学优化四个阶段。在评价层级上,设计了教与学的评价层级塔,即教学从低投入到高投入表现为:教学行为、教学认知、教学情感、教学智慧,与之相对应的学习成效从低阶到高阶依次表现为:学生反应、学习成果、学习能力、核心素养。最后,对循证教学评价的证据来源、多源数据融合形式、数据融合的技术路线进行阐释,为教学评测的操作与实施提供可行路径。

With the rapid development of Artificial Intelligence and data science, as well as the gradual deepening of evidence-based education concept, teaching evaluation has changed from the traditional perception-based evaluation to the modern evidence-based evaluation, thus giving birth to evidence-based teaching evaluation. It focuses on the whole process of teaching by the educator, analyzes the teaching input and learning effect, and embodies the adherence to the human-oriented developmental evaluation. The main elements of evidence-based teaching evaluation include personalized teaching, teaching space-time field and multi-source heterogeneous data, which are interconnected and symbiotic with the advancement of teaching process. The theoretical design of evidence-based teaching evaluation takes the effect of moral education as the core, the starting point and end point of course teaching as the evaluation cycle, and the integration of offline teaching and online teaching as the scene support. This framework includes four stages, which are teaching input, teaching evidence, teaching evaluation and teaching optimization. On the evaluation level, the evaluation tower of teaching and learning was designed, that is, teaching behavior, teaching cognition, teaching emotion and teaching wisdom are the performance of teaching from low input to high input. The corresponding learning effects from low level to high level are as follows: students' reaction, learning achievement, learning ability and core literacy. Finally, the evidence source, multi-source data fusion form and technical roadmap of data fusion are explained to provide a feasible path for the operation and implementation of teaching evaluation.