Abstract
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 learn ers’ 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.
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