从LMS作业与评估的高水平、近距离特征看教与学的提升

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引用次数: 0

摘要

在高等教育的正式在线学习课程中,学习者通常对作业和评估都有反应,以实现学习并提供他们进步的证据。在学习管理系统(LMS)实例中,分析人员可以通过管理员访问的数据门户(和报告部分)访问(1)作业和评估的选定特征的高级描述,并且他们可以访问(2)面向学习者的近距离描述。本章描述了一个基于高层次和近距离分析的LMS实例中的作业和评估的探索;系统化的方法来利用这些信息来促进教与学;并针对具体高校提出了一些改进教与学的尝试性方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Teaching and Learning From High-Level and Close-In Features of Assignments and Assessments in an LMS Instance
In a formal online learning course in higher education, learners usually respond to both assignments and assessments in order to achieve the learning and to provide evidence of their progress. In a learning management system (LMS) instance, analysts may access (1) high-level descriptions of selected features of the assignments and assessments through an administrator-accessed data portal (and a reports section), and they may access (2) close-in descriptions from the learner-facing side. This chapter describes an exploration of the assignments and assessments in a live LMS instance, based on both high-level and close-in analyses; systematized approaches to harness such information to benefit teaching and learning; and proposes some tentative ways to improve teaching and learning for the particular university.
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