Abstract
Intelligent adaptive learning style in education system is a demanding trend in expertise learning with a specific outcome. Taking advantage of the continuous improving learning system for teaching purpose increases the students learning ability. Learning style recommends the mode in which one understands and wants to learn. The proposed method clusters the students of a class according to individual’s natural learning ability. It gives the clear association and definition to each member belonging to a particular cluster. It is an enhanced design of deliverable for providing enhanced and effective outcome which the teacher can customize for the class as well as for their teaching methodologies. Experiments show that the proposed system can significantly help the teacher in predetermining the expectation, level of understanding, expandability, etc. With periodic outcome from the class evaluation, the teacher can steer the teaching learning process. This can be quantified dynamically and motivates the learners in a continuous process of teaching learning method.
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Authors have obtained all ethical approvals from appropriate ethical committee and approval from the students or from their parents/LAR (because the students are minor) who participated in this study.
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Deb, S., Jagrati, Bhattacharya, P. (2018). A Framework to Enhance the Learning Outcome with Fuzzy Logic-Based ABLS (Adaptive Behaviourial Learning System). In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 564. Springer, Singapore. https://doi.org/10.1007/978-981-10-6875-1_1
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DOI: https://doi.org/10.1007/978-981-10-6875-1_1
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