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Usage Analytics in A-VIEW

Publication Type : Conference Paper

Thematic Areas : Amrita e-Learning Research Lab

Publisher : Proceedings of the International Conference on Inventive Communication and Computational Technologies, ICICCT 2017

Source : Proceedings of the International Conference on Inventive Communication and Computational Technologies, ICICCT 2017, Institute of Electrical and Electronics Engineers Inc. (2017)

Url : https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85027469693&doi=10.1109%2fICICCT.2017.7975170&partnerID=40&md5=7ebbf1c9cdd9d1c35d1b6854661a2c66

ISBN : 9781509052974

Campus : Amritapuri

School : School of Engineering

Center : E-Learning

Department : E-Learning, Electrical and Electronics

Verified : Yes

Year : 2017

Abstract : The objective of this work is to perform usage analytics in Amrita-Virtual Interactive E-learning World (AVIEW) using the technique of association rule mining. Apriori algorithm is used in this work for analyzing the usage of AVIEW features with users' voting pattern. A-VIEW synthetic data, which has the features like document sharing and video with their user ratings, is applied to evaluate the methodology. The experimental results, user rating count 23 for document sharing, Good and 28 for video, Excellent indicate that document sharing needs improvement in its usability while working with A-VIEW. It is also observed that the feature video streaming has got an excellent user rating, 23 of the total count.

Cite this Research Publication : P. P. Parvathy, Sindhumol, S., and Kamal Bijlani, “Usage Analytics in A-VIEW”, in Proceedings of the International Conference on Inventive Communication and Computational Technologies, ICICCT 2017, 2017.

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