期刊
INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING
卷 46, 期 5, 页码 886-903出版社
SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10766-017-0553-7
关键词
Internet of Things (IoT); Parallel implementation; Visual attention; IoT interoperable services; Parallel machine learning
Students' interaction and collaboration with the fellows and teachers using the Internet of Things (IoT) based interoperable infrastructure is a convenient way. Measuring student attention is an essential part of the educational assessment for stu- dents' interaction. As new learning styles develop, new tools and assessment methods are also needed. The focus in this paper is to develop IoT based interaction framework and analysis of the student experience in electronic learning (eLearning) so that the students can take full advantage of the modern interaction technology and their learning can increase to a high level. This setup has a data collection module, which is implemented using Visual C# programming language and computer vision library. The number of faces, number of eyes, and status of eyes are extracted from the video stream, which is taken from a video camera. The extracted information is saved in a dataset for further analysis. The analysis of the dataset produces interesting results for student learning assessments. Modern learning management systems can integrate the developed tool to consider student-learning behaviors when assessing electronic learning strategies. The tools are also developed for the data collection on both student and teacher ends. Correlation of data and hidden meaning are extracted to make the learning experience and teaching performance better and adaptable. IoT based infrastructure provides the facilities to fellow students about location awareness, fellows' accessibility, social behavior and helping hand.
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