Improving early prediction of academic failure using sentiment analysis on self-evaluated comments

Author:

Yu L.C.1ORCID,Lee C.W.1ORCID,Pan H.I.1,Chou C.Y.2,Chao P.Y.3,Chen Z.H.4,Tseng S.F.1,Chan C.L.1,Lai K.R.2

Affiliation:

1. Department of Information Management; Yuan Ze University; Taoyuan City Taiwan

2. Department of Computer Science and Engineering; Yuan Ze University; Taoyuan City Taiwan

3. Department of Information Communication; Yuan Ze University; Taoyuan City Taiwan

4. Graduate Institute of Information and Computer Education; National Taiwan Normal University; Taipei City Taiwan

Funder

Ministry of Science and Technology

Publisher

Wiley

Subject

Computer Science Applications,Education

Reference40 articles.

1. Altrabsheh , N. Cocea , M. Fallahkhair , S. 2015 Predicting learning-related emotions from students' textual classroom feedback via Twitter

2. Porting multilingual subjectivity resources across languages;Banea;IEEE Transactions on Affective Computing,2013

3. Bayer , J. Bydzovská , H. Géryk , J. Obsivac , T. Popelinsky , L. 2012 Predicting drop-out from social behaviour of students

4. Multimodal learning analytics and education data mining: Using computational technologies to measure complex learning tasks;Blikstein;Journal of Learning Analytics,2016

5. Affect detection: An interdisciplinary review of models, methods, and their applications;Calvo;IEEE Transactions on Affective Computing,2010

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