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