The Relationship Between Student Performance and Reading Behavior in Open eBook Assessment
The Relationship Between Student Performance and Reading Behavior in Open eBook Assessment
复制标题
开放电子书评估中学生表现与阅读行为之间的关系
DOI：
10.1109/icalt49669.2020.00117
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
Hiroaki Ogata
中科院分区：
文献类型：
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作者：
Brendan Flanagan;Rwitajit Majumdar;Gokhan Akcapinar;Hiroaki Ogata
数字化学习材料是现代教育的核心部分，也可以深入了解表现优异和表现不佳的学生的学习行为。近年来，预测学生特征的主题引起了广泛关注，其应用范围从情感到表现以及高危学生预测。在本文中，我们使用数字教科书系统检查学生的阅读行为，同时从表现的角度进行开放电子书测试，并确定高表现和低表现学习者使用的策略。我们创建模型来预测评估开始前学习者的表现，并提取高等教育环境中评估开始前后的阅读行为特征。研究发现，1）策略，例如：复习和预习是学习者在开放电子书评估中表现如何的指标； 2）表现不佳的学生利用评估的开放电子书政策，并在评估过程中采用搜索信息的策略。
Digitized learning materials are a core part of modern education and also can offer insight into the learning behavior of high and low performing students. The topic of predicting student characteristics has gained a lot of attention in recent years, with applications ranging from affect to performance and at-risk student prediction. In this paper, we examine students reading behavior using a digital textbook system while taking an open ebook test from the perspective of performance and identifying strategies that are used by both high and low performing learners. We create models to predict the performance of learners before the start of the assessment and extract reading behavior characteristics employed before and after the start of the assessment in a higher education setting. It was found that 1) strategies, such as: revising and previewing are indicators of how a learner will perform in an open ebook assessment; and 2) low performing students take advantage of the open ebook policy of the assessment and employ a strategy of searching for information during the assessment.