Yee Mei Lim, A. Ayesh, M. Stacey
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引用次数: 4

摘要

学习者的学习表现会受到动机和情绪因素的影响,因此现代智能辅导系统应该能够感知学习者的认知和情感状态。设计一种低成本且不显眼的计算方法来自动确定学习器的状态是非常重要的。自动学习器的数据感知对个性化电子学习的开发具有重要意义,可以根据个人的情绪来调整学习内容。虽然过去有许多研究结果将任务需求等压力源与学习者的情绪联系起来,但目前还缺乏研究压力源对学习者认知状态和鼠标按键动力学影响的研究。直接指导、外部刺激、学习者的认知和情感状态以及他们的鼠标和键盘行为之间的相关性也很显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring direct learning instruction and external stimuli effects on learner's states and mouse/keystroke behaviours
A modern Intelligent Tutoring System (ITS) should be sentient of learner's cognitive and affective states, as learner's performance could be affected by motivational and emotional factors. It is important to design a low-cost and unobtrusive computational method for ITS to determine learner's states automatically. The automated learner's data sensing is useful in the development of personalized e-learning that can adapt learning content according to individual's emotion. Although many past findings relate stressor such as task demand to learner's emotion, however there is a lack of existing studies that examine the impact of stressor on learners' cognitive states and their mouse and keystroke dynamics. This exploratory research, conducted on 160 undergraduate students, found that the impacts of direct learning instruction and external stress stimuli, such as timer display, on learner's cognitive and affective states are significant. The correlations between direct instruction, external stimuli, learners' cognitive and affective states, as well as their mouse and keystroke behaviours are also significant.
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