Liang Jia-Ming, Su Wei-Cheng, Chen Yu-Lin, Wu Shih-Lin, Chen Jen-Jee
Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan 33302, Taiwan.
Department of General Medicine, Chang Gung Memorial Hospital, Taoyuan 33378, Taiwan.
Sensors (Basel). 2019 Jul 24;19(15):3260. doi: 10.3390/s19153260.
Due to the popularity of smart devices, traditional one-way teaching methods might not deeply attract school students' attention, especially for the junior high school students, elementary school students, or even younger students, which is a critical issue for educators. Therefore, we develop an , which leverages wearable devices (smart watches) to accurately capture hand gestures of school students and respond instantly to teachers so as to increase the interaction and attraction of school students in class. In addition, through multiple physical information of school students from the smart watch, it can find out the crux points of the learning process according to the deep data analysis. In this way, it can provide teachers to make instant adjustments and suggest school students to achieve multi-learning and innovative thinking. The system is mainly composed of three components: (1) smart interactive watch; (2) teacher-side smart application (App); and (3) cloud-based analysis system. Specifically, the smart interactive watch is responsible for detecting the physical information and interaction results of school students, and then giving feedback to the teachers. The teacher-side app will provide real-time learning suggestions to adjust the teaching pace to avoid learning disability. The cloud-based analysis system provides intelligent learning advices, academic performance prediction and anomaly learning detection. Through field trials, our system has been verified that can potentially enhance teaching and learning processes for both educators and school students.
由于智能设备的普及，传统的单向教学方法可能无法深深吸引在校学生的注意力，尤其是对于初中生、小学生甚至更小的学生来说，这对教育工作者而言是一个关键问题。因此，我们开发了一种[此处原文缺失具体系统名称]，它利用可穿戴设备（智能手表）准确捕捉在校学生的手势并即时向教师做出回应，以增加在校学生在课堂上的互动性和吸引力。此外，通过智能手表获取的在校学生的多种身体信息，它能够根据深度数据分析找出学习过程中的关键点。这样一来，它可以为教师提供即时调整的依据，并建议在校学生实现多元化学习和创新思维。该系统主要由三个组件组成：（1）智能交互手表；（2）教师端智能应用程序（App）；以及（3）基于云的分析系统。具体而言，智能交互手表负责检测在校学生的身体信息和互动结果，然后向教师反馈。教师端应用程序将提供实时学习建议，以调整教学节奏，避免学习障碍。基于云的分析系统提供智能学习建议、学业成绩预测和异常学习检测。通过实地试验，我们的系统已被证实有可能改善教育工作者和在校学生的教学与学习过程。
