How Students’ Self-Assessment Behavior Affects Their Online Learning Performance
How Students’ Self-Assessment Behavior Affects Their Online Learning Performance
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学生的自我评估行为如何影响他们的在线学习表现
DOI：
10.1016/j.caeai.2022.100058
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
H
中科院分区：
文献类型：
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作者：
Yang;A.C.;Chen;I.Y.;Flanagan;B.;& Ogata;H
以往的研究发现，自我评估的频率和规律性与学习成绩呈正相关。然而，随着人工智能在各种教育环境中广泛用于自我评估，已经发现了许多行为，包括可能对学习产生负面影响的非标准行为。因此，需要对学生在不同情境下的自我评价行为及其对学习的影响进行更多的分析。本研究考察了学生在网络自我评价任务中的行为及其对学习成绩的影响。本研究以会计课程为研究对象，进行了为期6周的实验。学生在课后以形成性测验的形式完成网上自我评估。我们进行聚类分析，揭示了三种行为模式的在线自我评估，我们比较了不同模式的学生的学习成绩。结果表明，经常参加课后在线评估的学生往往比不参加的学生获得更高的考试成绩。然而，表现出非标准行为的学生的学习成绩并不一定会提高，即使他们积极参加了评估。我们的研究结果表明，学生的行为是通过自我评估提高学习的一个关键因素。这些发现为学习分析领域的研究人员以及希望采用在线自我评估进行学习的从业者提供了见解。
Previous studies have found that the frequency and the regularity of taking the self-assessment are positively correlated with learning performance. However, as artificial intelligence is widely used for self-assessment in various educational contexts, numerous behaviors have been identified, including nonstandard behaviors that can negatively impact learning. Therefore, more analysis regarding students' self-assessment behaviors in different contexts and their influence on learning is required. In this study, we examined students’ behaviors in online self-assessment task and how it affects their learning performance. A 6-week experiment was conducted in an accounting course. Students were instructed to complete online self-assessment in the form of formative quizzes after class. We performed clustering analysis, which revealed three behavioral patterns in online self-assessment, and we compared the learning performance of students across different patterns. The results indicated that students who frequently took the online assessments after class tended to achieve a higher examination score than those who did not. However, the learning performance of students who demonstrated nonstandard behaviors did not necessarily improve, even though they actively took the assessments. Our results suggest that student behavior is a critical factor in improving learning through self-assessment. These findings provide insights for researchers in the learning analytics field as well as for practitioners who wish to adopt online self-assessment for learning.