Abstract
Computer programming competence is essential for computer science students. For them, it is challenging to understand computer programming courses easily. It eventually causes a lack of interest in the programming courses. It also impacts on employability of the students. Currently, around 20–30% fresh graduates are only employable and get placed. To overcome the problem, the authors have proposed a framework of Knowledge-based Intelligent Learning System (KILS) which enhance the programming competence of the students and thereby increase their employability. An experiment was conducted on undergraduate and postgraduate computer science students to evaluate the significance of the proposed solution to the problem. The results show that the proposed solution not only enhances their programming competence which ultimately increasing their employability but also improves the students’ involvement and attitudes towards programming.
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Patel, K.K., Vaidya, N. (2020). Enhancing Programming Competence Through Knowledge-Based Intelligent Learning System. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 1077. Springer, Singapore. https://doi.org/10.1007/978-981-15-0936-0_7
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DOI: https://doi.org/10.1007/978-981-15-0936-0_7
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