分析的演示:开放edX的学习分析工具

Héctor J. Pijeira Díaz, Javier Santofimia Ruiz, José A. Ruipérez Valiente, P. Merino, C. D. Kloos
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引用次数: 8

摘要

教育在很多方面都受到技术的推动。其中一个主要优点是利用数据来改进学习过程。大规模在线开放课程(MOOC)现象在几年前开始流行,随之出现了许多不同的平台。然而,它们中的大多数都是专有解决方案(如Coursera, Udacity),不能被感兴趣的利益相关者使用。目前,Open edX是支持mooc的主要开源应用程序。使用Open edX的社区正在快速增长,有许多感兴趣的机构。尽管如此,Open edX的学习分析支持仍处于起步阶段。在本文中,我们介绍了一个概述和演示分析,一个开源的学习分析工具开放edX。分析目前包括12个新的可视化,教师和学生都可以使用。
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A Demonstration of ANALYSE: A Learning Analytics Tool for Open edX
Education is being powered by technology in many ways. One of the main advantages is making use of data to improve the learning process. The massive open online course (MOOC) phenomenon became viral some years ago, and with it many different platforms emerged. However most of them are proprietary solutions (i.e. Coursera, Udacity) and cannot be used by interested stakeholders. At the moment Open edX is placed as the primary open source application to support MOOCs. The community using Open edX is growing at a fast pace with many interested institutions. Nevertheless, the learning analytics support of Open edX is still in its first steps. In this paper we present an overview and demonstration of ANALYSE, an open source learning analytics tool for Open edX. ANALYSE includes currently 12 new visualizations that can be used by both instructors and students.
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Trust, Sustainability and [email protected] L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1 - 3, 2022 L@S'21: Eighth ACM Conference on Learning @ Scale, Virtual Event, Germany, June 22-25, 2021 Leveraging Book Indexes for Automatic Extraction of Concepts in MOOCs Evaluating Bayesian Knowledge Tracing for Estimating Learner Proficiency and Guiding Learner Behavior
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