在线学习环境下多门课程学习时间管理的可视化分析

Huan He, Bo Dong, Q. Zheng, Dehai Di, Yating Lin
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引用次数: 5

摘要

自定进度在线学习不仅提供了随时学习的机会,也对学生的时间管理提出了挑战,特别是在同时学习多门课程的情况下。多门课程的安排不当会影响学生的参与度和学习成绩,因此如何安排多门课程的学习时间是教师和学生共同关心的问题。现有关于在线学习中学生参与和时间管理的研究主要集中在提供自主学习策略和评估学习绩效方面。然而,这些方法对多课程学习时间管理的直观理解能力有限。为了解决这个问题,我们提出LearnerVis来帮助用户分析学生如何安排他们的多课程学习。LearnerVis可视化学习过程的时间特征,它使用户能够自定义学生组来比较学生参与和时间管理的差异。通过实例分析,验证了该系统对真实数据集的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visual Analysis of the Time Management of Learning Multiple Courses in Online Learning Environment
Self-paced online learning not only provides the opportunities of learning anytime but also chanllenges students’ time management, especially in the context of learning multiple courses at same time. The inappropriate scheduling of multiple courses may affect student engagement and learning performance, thus how to arrange the study time of multiple courses is a concern of both instructors and students. Existing studies related to student engagement and time management in online learning mainly focus on providing self-regulated learning strategies and evaluating learning performance. However, these methods have limited abilities to gain intuitive understanding of the time management of multi-course learning. To address this issue, we present LearnerVis to help users analyze how students schedule their multi-course learning. LearnerVis visualize the temporal features of learning process, and it enables users to customize student groups to compare the differences in student engagement and time management. A case study is conducted to demonstrate the usefulness of the system with real-word dataset.
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