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http://dx.doi.org/10.6109/jkiice.2017.21.2.423

e-Learning Course Reviews Analysis based on Big Data Analytics  

Kim, Jang-Young (Department of Computer Science, The University of Suwon)
Park, Eun-Hye (Department of Computer Science, The University of Suwon)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.21, no.2, 2017 , pp. 423-428 More about this Journal
Abstract
These days, various and tons of education information are rapidly increasing and spreading due to Internet and smart devices usage. Recently, as e-Learning usage increasing, many instructors and students (learners) need to set a goal to maximize learners' result of education and education system efficiency based on big data analytics via online recorded education historical data. In this paper, the author applied Word2Vec algorithm (neural network algorithm) to find similarity among education words and classification by clustering algorithm in order to objectively recognize and analyze online recorded education historical data. When the author applied the Word2Vec algorithm to education words, related-meaning words can be found, classified and get a similar vector values via learning repetition. In addition, through experimental results, the author proved the part of speech (noun, verb, adjective and adverb) have same shortest distance from the centroid by using clustering algorithm.
Keywords
e-learning; Big Data; Word2Vec; Neural network; Clustering;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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