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Skills Gap is a Reflection of What We Value: A Reinforcement Learning Interactive Conceptual Skill Development Framework for Indian University

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Intelligent Human Computer Interaction (IHCI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12615))

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Abstract

Unemployment is a major obstacle for developing countries, and the skill gap between graduating students and industry expectations is a significant reason which leads to unemployment. Various businesses, industries, and companies in developing countries spend a lot of resources in training the recruited graduates, which causes a loss of revenue for these organizations. However, Universities sustained the loss of reputation when graduates are not finding the intended job even after completing the guided course work. The current effect of COVID has revolutionized the education sector. The universities are under tremendous pressure to reduce the gap in providing the skills through webinars or online interactive classes, which prepare the students for the corporate world. The current system in developing countries like India, to conceive job-ready graduates is less engaging and not easily accessible to every pupil. To overcome these challenges, we are proposing a skill-based interactive online system for skill development. This system would be guiding the students to attain the skills for a career based on their interests and talents with the help of a reinforcement learning agent trained with the requirement of the industrial and academic expert. This system uses a Q-learning algorithm to feed the students with skills in a particular order and guide them to achieve their goals.

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Correspondence to Abhishek Kaushik .

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Velavan, P., Jacob, B., Kaushik, A. (2021). Skills Gap is a Reflection of What We Value: A Reinforcement Learning Interactive Conceptual Skill Development Framework for Indian University. In: Singh, M., Kang, DK., Lee, JH., Tiwary, U.S., Singh, D., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2020. Lecture Notes in Computer Science(), vol 12615. Springer, Cham. https://doi.org/10.1007/978-3-030-68449-5_27

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  • DOI: https://doi.org/10.1007/978-3-030-68449-5_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-68448-8

  • Online ISBN: 978-3-030-68449-5

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