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Classroom to Industry: A Pathway of a Student to Be an Engineer

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Machine Learning for Predictive Analysis

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 141))

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Abstract

Evolutions in engineering education attempts to witness and inculcate Outcomes-Based Education (OBE) in multiple paradigms. A higher level of knowledge gain is to meet standards across the world. Two such approaches namely Activity Based Learning and Project Based Learning had been experimented with undergraduate students of Information Science and Engineering for course Software Engineering and Object Oriented Modeling. Activity Based Learning is attributed to an optimum learning environment which facilitates effective learning including improvement in soft skills. Project Based Learning is found to enable students to connect engineering concepts with possible solutions and prepares students to be better team players. This paper analyses the challenges of industrial visit and an activity, codeathon on software engineering and object oriented modeling towards the direction of being a stepping stone to trace pathways in the field of engineering education.

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Correspondence to K. Rajeshwari .

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Rajeshwari, K., Preetha, S., Anitha, H.M. (2021). Classroom to Industry: A Pathway of a Student to Be an Engineer. In: Joshi, A., Khosravy, M., Gupta, N. (eds) Machine Learning for Predictive Analysis. Lecture Notes in Networks and Systems, vol 141. Springer, Singapore. https://doi.org/10.1007/978-981-15-7106-0_47

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