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Exploration on Undergraduate Course Learning Assessment for Normal Colleges: Inspired by China's Teacher Education Accreditation Policy Course Learning Assessment for Normal Colleges  ( EI收录)  

文献类型:会议论文

英文题名:Exploration on Undergraduate Course Learning Assessment for Normal Colleges: Inspired by China's Teacher Education Accreditation Policy Course Learning Assessment for Normal Colleges

作者:Zhang, Wei[1,2]; Zhao, Ying[1,2]; He, Zhenzhen[1,2]

第一作者:张蔚

机构:[1] Teachers College, Beijing Union University, China; [2] Institute of Science and Technology Education, Beijing Union University, China

第一机构:北京联合大学师范学院

通讯机构:[1]Teachers College, Beijing Union University, China|[1141711]北京联合大学师范学院;[11417]北京联合大学;

会议论文集:ICDEL 2024 - 2024 9th International Conference on Distance Education and Learning

会议日期:June 14, 2024 - June 17, 2024

会议地点:Guangzhou, China

语种:英文

外文关键词:Accreditation - Adversarial machine learning - Contrastive Learning - Curricula - Federated learning - Students - Teaching

摘要:The purpose of course learning assessment is to monitor student development and help improve course quality, which plays an important role in the sustainable improvement of the course. Previous research on course learning assessment has mainly focused on the selection of assessment indicators, paying less attention to the weight of assessment indicators. The existing methods for determining the weights of course learning assessment indicators are mainly based on subjective experience, historical assessment data, or questionnaire data, which either lack objective basis or aim to grade student maximumly rather than continuously improve the curriculum towards achieving its objectives. This paper is inspired by China's teacher education accreditation policy and proposes a quantitative construction method for the course learning assessment system. By using this method, an objective-oriented assessment system can be design based on the OBE concept, considering the differences in the importance of all course objectives when calculating the weight values of assessment indicators. The method was applied to assess the student learning outcomes of a teacher training course, and its effectiveness was verified. ? 2024 ACM.

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