A Real-Time Data Mining Approach for Interaction Analytics Assessment: IoT Based Student Interaction Framework

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 students’ interaction. As new learning styles develop, n...

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Vydáno v:	International journal of parallel programming Ročník 46; číslo 5; s. 886 - 903
Hlavní autoři:	Farhan, Muhammad, Jabbar, Sohail, Aslam, Muhammad, Ahmad, Awais, Iqbal, Muhammad Munwar, Khan, Murad, Maria, Martinez-Enriquez Ana
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.10.2018 Springer Nature B.V
Témata:	Computer Science Computer vision Data collection Data mining Distance learning Eye (anatomy) Infrastructure Internet of Things Learning Online instruction Processor Architectures Programming languages Software Engineering/Programming and Operating Systems Special Issue on Parallel Approaches for Data Mining in the Internet of Things Realm Students Teachers Theory of Computation Video data Visual C Visual programming languages Internet of Things (IoT) Parallel machine learning Parallel implementation Visual attention IoT interoperable services
ISSN:	0885-7458, 1573-7640
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Abstract	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 students’ 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.
AbstractList	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 students’ 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.
Author	Jabbar, Sohail Iqbal, Muhammad Munwar Khan, Murad Farhan, Muhammad Ahmad, Awais Maria, Martinez-Enriquez Ana Aslam, Muhammad
Author_xml	– sequence: 1 givenname: Muhammad surname: Farhan fullname: Farhan, Muhammad organization: Department of Computer Science, COMSATS Institute of Information Technology – sequence: 2 givenname: Sohail surname: Jabbar fullname: Jabbar, Sohail email: sjabbar.research@gmail.com organization: Department of Computer Science, National Textile University – sequence: 3 givenname: Muhammad surname: Aslam fullname: Aslam, Muhammad organization: Department of Computer Science and Engineering, University of Engineering and Technology – sequence: 4 givenname: Awais surname: Ahmad fullname: Ahmad, Awais organization: Department of Information and Communication Engineering, Yeungnam University – sequence: 5 givenname: Muhammad Munwar surname: Iqbal fullname: Iqbal, Muhammad Munwar organization: Department of Computer Science, University of Engineering and Technology – sequence: 6 givenname: Murad surname: Khan fullname: Khan, Murad organization: Sarhad University of Information Technology – sequence: 7 givenname: Martinez-Enriquez Ana surname: Maria fullname: Maria, Martinez-Enriquez Ana organization: Department of CS, CINVESTAV-IPN
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SubjectTerms	Computer Science Computer vision Data collection Data mining Distance learning Eye (anatomy) Infrastructure Internet of Things Learning Online instruction Processor Architectures Programming languages Software Engineering/Programming and Operating Systems Special Issue on Parallel Approaches for Data Mining in the Internet of Things Realm Students Teachers Theory of Computation Video data Visual C Visual programming languages
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Title	A Real-Time Data Mining Approach for Interaction Analytics Assessment: IoT Based Student Interaction Framework
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