Modeling Disengaged Guessing Behavior in a Vocabulary Learning App using Student, Item, and Session Characteristics

J. K. Kristensen, Björn Andersson, J. V. K. Torkildsen
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Abstract

Disengagement from task content in educational apps may have a severe negative impact on learning outcomes. In the current study, we propose repeated mistakes as an indicator of disengaged guessing behavior that may be detrimental to learning. Furthermore, we propose a hierarchical generalized linear model to examine predictors of disengaged guessing behavior relating to student, item and session characteristics. Knowledge of how different characteristics contribute to the prediction of disengaged guessing may provide important information to teachers regarding which students are likely to engage in such behavior, as well as to app developers regarding the functioning of different types of task and session content.
使用学生,项目和会话特征在词汇学习应用程序中建模脱离猜测行为
在教育应用中脱离任务内容可能会对学习结果产生严重的负面影响。在目前的研究中,我们提出重复的错误作为一个指标,脱离猜测行为,可能是有害的学习。此外,我们提出了一个层次广义线性模型来检验与学生、项目和会话特征有关的不参与猜测行为的预测因子。了解不同的特征如何有助于预测脱离猜测,可以为教师提供重要的信息,了解哪些学生可能会参与这种行为,也可以为应用程序开发人员提供关于不同类型任务和会话内容的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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