A Comparative study on Intelligent Tutoring Systems fostering Self Regulated Learning
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2
Abstract
Educational data mining is an emerging research area where the traditional data mining techniques are applied on Intelligent Tutoring System (ITS) to study the learning pattern of students. This paper conducts a survey on various ITS that are used currently. An agent-based ITS that fosters the use of Self Regulated Learning (SRL) processes mainly concentrates on two questions: (1) How can students be grouped according to their performance and their type of interaction with the system? (2) How do specific learning behaviors of high and low performing students differ, in particular regarding their use of SRL processes ?.The study helps in understanding how data can be mined and how the learners can be grouped into different clusters based on their learning activities.
Authors and Affiliations
Lekshmi A , Prathibha. S Nair
Keywords
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- EP ID EP116049
- DOI 10.9790/0661-16261421
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