Abstract
Learning is a process which is actively constructed by the learner itself. With the advent of technology in the field of Artificial Intelligence, learning is no more restricted to traditional classroom teaching. Cognitive Systems can be used to impart pedagogical education to learners. Cognitive systems are those intelligent systems which can think, decide, act, and analyze learner’s learning accordingly and can help them in generating significant learning. Intelligent Tutoring System (ITS) provides its learners with a one-to-one tutoring environment where intelligent agents can act as tutors. In this paper, a model of Fuzzy-ITS is proposed and evaluated using fuzzy rule set which has capabilities to enhance the skills of learners by providing instructions and feedback.
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Acknowledgements
We would like to acknowledge undergraduate students of BCA I year of Banasthali Vidyapith for their contribution in experimental analysis. The age group of the students was between 18 and 20, except one student having age 17.
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Asopa, P., Asopa, S., Mathur, I., Joshi, N. (2019). A Model of Fuzzy Intelligent Tutoring System. In: Bhattacharyya, S., Hassanien, A., Gupta, D., Khanna, A., Pan, I. (eds) International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol 56. Springer, Singapore. https://doi.org/10.1007/978-981-13-2354-6_32
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DOI: https://doi.org/10.1007/978-981-13-2354-6_32
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