An immersive situational group learning system with body movement and emotion recognition combined with subject knowledge

Meng-Xuan Xie, Yu-Wei Wu, Gwo-Dong Chen, Jen-Hang Wang, Su-Hang Yang
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Abstract

In the current digital situational learning, such as digital game-based learning or Second Life, learners use virtual characters to enter the situational learning, instead of using their own bodies. In addition, many subject matters requiring situational learning need a combination of subject knowledge, body language, and emotional expression, and require students to conduct group learning. However, most of the current situational systems can only provide evaluation and feedback on text or language, and cannot provide feedback on body movements and emotional expressions. To address these issues, this study establishes a situational learning system that enables students to enter the learning situation with their whole body and in small groups. Furthermore, the cognitive services of artificial intelligence are also adopted to conduct immediate evaluation and feedback on students’ learning performance, such as language, body movement, and emotional display, and students’ learning outcomes can be displayed in front of their peers. The experimental results show that the proposed situational learning system can improve students’ learning effect for subject matters that need to combine body movements and emotional expression.
一种将肢体动作、情绪识别与学科知识相结合的沉浸式情境小组学习系统
在当前的数字化情境学习中,例如基于数字游戏的学习或第二人生,学习者使用虚拟角色进入情境学习,而不是使用自己的身体。此外,许多需要情景学习的学科需要将学科知识、肢体语言和情感表达结合起来,并要求学生进行小组学习。然而,目前大多数情景系统只能提供对文本或语言的评价和反馈,无法提供对肢体动作和情绪表达的反馈。为了解决这些问题,本研究建立了一个情境学习系统,使学生能够以整个身体和小组的形式进入学习情境。此外,还利用人工智能的认知服务,对学生的语言、肢体动作、情绪表现等学习表现进行即时评价和反馈,将学生的学习成果展示在同龄人面前。实验结果表明,所提出的情境学习系统可以提高学生对需要结合肢体动作和情绪表达的科目的学习效果。
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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