Volume 3 Number 5 (Oct. 2013)
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IJEEEE 2013 Vol.3(5): 421-424 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2013.V3.271

Learner Activities Evaluation Model: A Neuro-Fuzzy Approach

E. O. Omidiora, S. O. Olabiyisi, O. O. Okediran, and R. M. Isiaka
Abstract— Computer Mediated Communication (CMC) platforms are incorporated in e-learning systems to actualize effective learning activities. Visualization techniques are been used to communicate the unstructured complex dataset of learners’ activities in the log files to the actors. The effectiveness of this approach as bases for teaching-learning support and learning analytics however relies on the commitment of the teacher. The teacher being human can become overwhelmed when the enrolment is large and/or when the Internet access is a problem. This paper presents a technique for capturing the teacher’s knowledge for monitoring learners’ activities in Neuro-fuzzy model for online automatic monitoring. The model intelligently provides inbuilt competence assessment and promptly takes decisions. The IEEE-LTSA is modified to reflect the initiative. Similarly, the integration of the model in an architecture based on Actuator- Indicator Models was demonstrated.

Index Terms— Actuator-indicator model, learning activities, log file visualization and neuro-fuzzy model.

E. O. Omidiora, S. O. Olabiyisi, and O. O. Okediran are with the Department of Computer Science and Engineering, Ladoke Akintola University of Technnology, Ogbomosho, Nigeria. (e-mail: omidiorasayo@yahoo.co.uk, soolabiyisi@lautech.edu.ng, oookediran@lautech.edu.ng).
R. M. Isiaka is with the Kwara State University, Malete, Nigeria (e-mail: imabdulrafiu@yahoo.com).

Cite: E. O. Omidiora, S. O. Olabiyisi, O. O. Okediran, and R. M. Isiaka, " Learner Activities Evaluation Model: A Neuro-Fuzzy Approach," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 3, no. 5, pp. 421-424, 2013.

General Information

ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, INSPEC (IET)
E-mail: ijeeee@iap.org
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