An English Diagnosis and Review System Based on Brainwave Attention Recognition Technology for the Paper-Based Learning Context with Digital-Pen Support

Ya-Ling Huang, Chih-Ming Chen, Mi Lin
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Abstract

Since English is the most important second language, how to help students learn English through appropriate technology is a critical issue in non-English speaking countries. In this work, a digital pen and paper interaction platform (DPPIP) with an attention recognition and review mechanism (ARRM), which is based on brainwave detection, is designed to assist the lesson review of learners while reading paper-based English texts, and thereby promotes learning performance of English-language. In total, 108 students at a commercial and industrial vocational high school in New Taipei City, Taiwan, are the participants. All participants are males, and the participants ages ranged from 17 to 18 years. The experimental group utilizes the DPPIP with ARRM support to learning of English texts, whereas the control group uses the DPPIP with the autonomous review mechanism (ARM), not supported by the ARRM, while reading English-language texts. Experimental results show that learning performance of the experimental group is better than those of the control group. Furthermore, the effects of different cognitive styles, different learning abilities and different attention levels of learners between the two groups on the learning performance and reviewed attention on the lessons are also studied. The results show that for the field-dependent learners using the DPPIP with ARRM support promote the learning performance more than those field-dependent learners who using the DPPIP with ARM support. Moreover, for the low-ability learners in the experimental group (with ARRM support) have better learning performance than those learners in the control group (without ARRM support). Additionally, for the high-attention learners in the experimental group have better learning performance and reviewed attention on the lessons than those learners in the control group. Finally, in both groups the learning performance of high-ability learners is significantly better than the ones with low-ability learners.
基于脑波注意识别技术的纸本学习英语诊断复习系统
由于英语是最重要的第二语言,如何通过适当的技术帮助学生学习英语是非英语国家的一个关键问题。本文设计了一种基于脑波检测的数字笔纸互动平台(DPPIP),该平台具有注意力识别和复习机制(ARRM),旨在帮助学习者在阅读纸质英语文本时进行课程复习,从而提高英语学习成绩。总共有108名来自台湾新北市一所工商职业高中的学生参加了这次活动。所有参与者均为男性,年龄从17岁到18岁不等。实验组使用带有ARRM支持的DPPIP进行英语文本学习,而对照组在阅读英语文本时使用带有ARRM不支持的自主审查机制(ARM)的DPPIP。实验结果表明,实验组的学习成绩优于对照组。此外,还研究了两组学习者不同的认知风格、不同的学习能力和不同的注意水平对学习成绩和课堂复习注意的影响。结果表明,领域依赖学习者使用ARRM支持的DPPIP比使用ARM支持的DPPIP更能提高学习成绩。此外,实验组(有ARRM支持)的低能力学习者的学习表现优于对照组(无ARRM支持)。此外,实验组的高注意力学习者的学习表现和对课程的复习注意力都优于对照组的学习者。最后,在两组中,高能力学习者的学习成绩显著优于低能力学习者。
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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