Identifying disengaged learners using educational data mining techniques
By: Dutta, Amit.
Contributor(s): Sunil Kumar, A. V.
Publisher: Haryana International Science Press 2021Edition: Vol.13(1), Jan-June.Description: 63-71p.Subject(s): Computer EngineeringOnline resources: Click here In: International journal of artificial intelligence and computational researchSummary: On-line learning is a new emerging technology which is dynamic and potentially enriching forms of learning but attrition remains a serious problem. Motivation towards learning is affected by the learner's self-efficacy, locus of control, goal orientation and perceived task difficulty. In a traditional classroom environment, tutors infer learners' levels of motivation from several cues, including speech, behaviour, attendance, body language or feedback, and offer interventional strategies aimed at increasing motivation. Similarly, online learning system also needs an ability to recognize when the learner is beoming de-motivation.....Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database | School of Engineering & Technology Archieval Section | Not for loan | 2022-1086 |
On-line learning is a new emerging technology which is dynamic and potentially enriching forms of learning but attrition remains a serious problem. Motivation towards learning is affected by the learner's self-efficacy, locus of control, goal orientation and perceived task difficulty. In a traditional classroom environment, tutors infer learners' levels of motivation from several cues, including speech, behaviour, attendance, body language or feedback, and offer interventional strategies aimed at increasing motivation. Similarly, online learning system also needs an ability to recognize when the learner is beoming de-motivation.....
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