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Artificial Intelligence–Driven Intelligent Learning Systems for Language Proficiency, Student Success, and Well-Being in Higher Education

Dr. K. Rajiv, Dr. Y. Suganya, Dr. R. Vignesh, Dr. R. Shanthi

Indexed In: Google scholar

Release Date: 2026 | Copyright:©2026 | Pages: 511

DOI: 10.71443/9789349552401 Cite

ISBN10: 9349552400 | ISBN13: 9789349552401

"Artificial Intelligence–Driven Intelligent Learning Systems for Language Proficiency, Student Success, and Well-Being in Higher Education" explores the transformative role of AI in enhancing language learning, student outcomes, and overall well-being within academic institutions. This book delves into the integration of AI-powered tools and systems that foster personalized learning experiences, improve academic performance, and support mental health in students. It also highlights innovative approaches to using AI for adaptive learning, performance tracking, and tailored interventions, promoting a holistic approach to student success.

This book covers a broad range of AI applications in higher education, focusing on language proficiency improvement, student success, and well-being. It explores AI-driven adaptive learning systems that personalize educational content based on student needs, enhancing language acquisition and academic performance. The book also examines AI tools for real-time monitoring of student progress, providing insights into early intervention strategies for at-risk students. Additionally, it addresses the impact of AI on mental health, promoting holistic support systems for student well-being. Ethical issues, challenges, and future trends of AI in education are also discussed, along with practical implementations and case studies.

Table Of Contents

Detailed Table Of Contents


Chapter 1

Introduction to AI, ML, and DL in Higher Education Ecosystems

Ramesh Kumar, Pawan Kumar Singh

(Pages:36)

Chapter 2

Role of IoT and Smart Learning Environments in Modern Education

Ashish Nagila, Srikanth Jindam

(Pages:35)

Chapter 3

Foundations of English as a Foreign Language (EFL) Learning Analytics

Manisha. Rathod, Sweta Priya

(Pages:32)

Chapter 4

AI-Based English Reading Proficiency Assessment Models

N. Suguna, Utkarsh Mishra

(Pages:37)

Chapter 5

Machine Learning Approaches for English Writing Skill Evaluation

R.Vignesh, Gopala Krishna Murthy

(Pages:39)

Chapter 6

Deep Learning Techniques for Vocabulary Acquisition and Retention

Sharayu Sonawane, M. Hema

(Pages:32)

Chapter 7

Fuzzy Logic Models for Language Proficiency and Skill Uncertainty Handling

V. Srikanth, Shubhra Tiwari

(Pages:39)

Chapter 8

Graph Theory Applications in Adaptive Learning Path Design

Anupama Pandey, Bantu Mahesh

(Pages:34)

Chapter 9

Shortest Path Algorithms for Personalized Learning Optimization

Madhu Shree R, Vijay Kumar Dwivedi

(Pages:33)

Chapter 10

Cost-Minimization Models in Intelligent Educational Systems

A.Anna Sheela, S. Velayutham

(Pages:37)

Chapter 11

AI-Driven Aptitude Skill Analysis and Career Readiness Prediction

Gauri Kulkarni, Enugurthi Gangaram

(Pages:34)

Chapter 12

Student Performance Prediction Using Machine Learning and Deep Learning

Ch. Rajasekhar, Anthony Savio Herminio da Piedade Fernandes

(Pages:31)

Chapter 13

Early Warning Systems for Student Dropout Risk Prediction

Yogeshver Prasad Sharma, K. Sasikala

(Pages:32)

Chapter 14

Learning Outcome Optimization Through Hybrid AI Models

G. Kharmega Sundararaj, G.Mahesh

(Pages:39)

Chapter 15

Stress Detection and Management for Students Using AI and IoT Sensors

Ritu Nagila, Revathi K

(Pages:35)

Chapter 16

Faculty Well-Being Monitoring Using Intelligent Analytics Frameworks

Rupkumar Panda, B. Akilandeswari

(Pages:38)

Chapter 17

Applied Physics Education Enhanced by AI-Based Virtual Laboratories

B. Sucharitha, S Dastagiri

(Pages:33)

Chapter 18

Machine Learning Applications in Chemistry Education and Experiment Simulation

Archana S. Dhuri, Anita Singh

(Pages:34)

Chapter 19

Ethical, Privacy, and Security Issues in AI-Enabled Higher Education

Bennet Paul Giftson. D, R.Dhivya

(Pages:39)

Chapter 20

Future Trends in Intelligent, Sustainable, and Inclusive Higher Education Systems

Shagufta Parween, Vishwanath R Havalappagol

(Pages:36)


Contributions


Dr.K.Rajiv, Currently working as Associate Professor in the Department of Computer Science and Engineering in St. Peter’s Engineering College , Hyderabad. He is having more than 15 years of teaching and research experience. He obtained his B. Tech (IT) and M. Tech (CSE) from Andhra University, Andhra Pradesh State, India. He obtained his Ph.D. in Computer Science and Engineering which is in the area of Image Processing from Andhra University, Andhra Pradesh State, India. His research area of interest is Artificial Intelligence and Machine Learning, Internet of Things, Data Science, Big Data Analytics, Cryptography and Network Security, Cloud Computing and Python Programming. He has published more than 20 research papers with good impact factors in reputed International, National Journals and International Conferences. To his credit, he is having 5 Patents, 2 Books published and 2 Book Chapters in CSE domain.

Dr.Y. Suganya received my M.E. Degree from the Department of Computer Science and Engineering at MIET College of Engineering, Trichy, Anna University, India, in 2011. Myself Completed Ph.D. in Computer Science and Engineering in specilalization of Medical Image Processing from Annamalai University in the year 2024. Currently, I am working as an Assistant Professor in the Department of Computer Science and Engineering, School of Computing, SRM Institute of Science and Technology, SRM University Tiruchirappalli, Tamil Nadu, India.  My area of interest is Medical Imaging, Neural Network, Deep Learning and Machine Learning. I received a award of “Best Researcher” from International Forensic Scientist Awards on March 25 ,2025

Dr. R. Vignesh graduated with a Bachelor's Degree in Computer Science and Engineering from Anna University in 2015 and a Master's Degree in Computer Science and Engineering from Valliammai Engineering College, affiliated with Anna University, in 2017. He has completed his Ph.D. in Computer Science and Engineering at Sathyabama Institute of Science and Technology. With over 8 years of teaching experience in the Department of Computer Science and Engineering at Sathyabama Institute of Science and Technology, his areas of research include Blockchain and Cloud Computing. He has presented his work in various reputed journals and conferences.

Dr. R. Shanthi is Professor and Head in the Department of English at Paavai Engineering College, Namakkal, Tamil Nadu. She holds a Ph.D. in Afro-American Literature from Annamalai University (2014), M.Phil. in American Literature from Madurai Kamaraj University. Her thesis, ‘Commitment to the Black Cause: A Study of the Select Plays of Amiri Baraka’ underscores her specialization in cultural and literary analysis. Her research area includes American and Indian Literature, authoring or co-authoring many publications in Scopus-indexed journals including recent works on ecofeminism and AI in education. Professionally, Dr. Shanthi trains students and faculty in BEC, IELTS and APTIS since 2010, earning British Council awards.


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