The Design and Implementation of a Real-Time Attention Recognition/Feedback System in Online Learning Course

2017 International Conference of Educational Innovation through Technology (EITT) Pub Date : 2017-12-01 DOI:10.1109/EITT.2017.59

Pei-Yu Cheng, Yu-Cheng Chien, Yueh-Min Huang

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引用次数: 5

Abstract

In recent years, online learning course has been drawn much attention from educators and researchers through the world. Nowadays, some popular Massive Open Online Courses (MOOCs) in the world provide video courses for learning various subjects and have been successfully applied to many subjects. On the other hand, there are some researchers have indicated that attention state and learning are strongly correlated. However, despite their importance, it is a complicated procedure that when educators want to observe the attention state of each student in online learning course. To help educators effectively observe students' attention state in online learning environments. This study designed and implemented a real-time attention recognition and feedback system, for measuring changes in learner attention state. Finally, to achieve the goals as mentioned above, this study carried out the stability testing, usability testing, and expert evaluation of the real-time attention recognition and feedback system.

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在线学习课程中实时注意力识别/反馈系统的设计与实现

近年来，网络学习课程受到了世界各地教育工作者和研究人员的广泛关注。目前，国际上一些流行的大规模在线开放课程(Massive Open Online Courses, MOOCs)提供各种学科的视频学习课程，并已成功应用于许多学科。另一方面，也有一些研究者指出，注意状态与学习是密切相关的。然而，尽管它们很重要，当教育者想要观察在线学习课程中每个学生的注意力状态时，这是一个复杂的过程。帮助教育者在网络学习环境中有效观察学生的注意力状态。本研究设计并实现了一个实时注意力识别与反馈系统，用于测量学习者注意力状态的变化。最后，为实现上述目标，本研究对实时注意力识别与反馈系统进行了稳定性测试、可用性测试和专家评估。

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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2017 International Conference of Educational Innovation through Technology (EITT)

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