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Ai Analysis of Students Learning Patterns in Online Platforms and iys Academic and physchology Impact on Engineering Students

Publisher: IEEE

Authors: Vajinepalli Kowshik, Srm institute of science and technology tiruchirappali S Kanaga suba raja, SRM Institute of Science and Technology *

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Abstract:

The use of artificial intelligence in education is nothing 

short of a revolution. It is changing the global academic and 

professional environments from the very top down at a very high 

pace. The reliance on AI by students for various tasks such as 

research, project work, and even taking exams has drastically gone 

up. Though this practice saves time, it can, on the other hand, 

prevent the development of practical skills and the capacity for 

independent critical thinking which are the qualities that employers 

would like to see in the new hires. The main point is that there is no 

alternative but to reconsider the combination of AI and learning. 

We must consider it as a tool for skill development rather than a 

shortcut. It appears that there is a lot of conflict over online 

learning in general and engineering students in particular. On the 

other hand, availability of AI, through learning tendency analysis, 

providing personalized responses and care does not mean that 

students are free from the ongoing psychological pressure 

associated with constant monitoring and little human interaction. 

Efforts for improvement in teaching and learning outcomes should 

be coupled with the consideration of what a student goes 

through.While enhancing the paradigm through AI, enabling 

specialized assistance according to different learning needs should 

not limit the scope or well-being of a person. This makes students 

up-to-date with the needs of the future, resolves the skill gap, and 

focuses on long-term academic and personal growth

Keywords: AI Learning Analytics, Engineering Education, Student Engagement, Online Learning, Psychological Impact, Predictive Models, Student Well-being, Algorithmic Transparency.

Published in: 2024 Asian Conference on Communication and Networks (ASIANComNet)

Date of Publication: --

DOI: -

Publisher: IEEE

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