Artificial Intelligence and Machine Learning–Enabled Pedagogical Innovations for the Future of Education

Dr. Pranita Mishra, Dr. B. Gayathri, Dr. D. Sahadevudu, Mr. Manu Vasudevan Unni

Indexed In: Google scholar

Release Date: xx | Copyright:© 2025 | Pages: 446

DOI: To be updated

ISBN10: 0 | ISBN13: 0

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Artificial Intelligence and Machine Learning–Enabled Pedagogical Innovations for the Future of Education explores how advanced AI and ML technologies are transforming teaching and learning processes. This chapter highlights intelligent tutoring systems, adaptive learning platforms, data-driven assessments, and personalized educational experiences that cater to diverse learner needs. It examines how predictive analytics, natural language processing, and generative AI enhance student engagement, instructional design, and academic outcomes. Emphasizing ethical considerations and digital equity, it envisions a future where AI-driven pedagogical innovations empower educators, optimize learning environments, and foster creativity, critical thinking, and lifelong learning in a rapidly evolving digital education ecosystem.

This book comprehensively covers the integration of Artificial Intelligence (AI) and Machine Learning (ML) in modern education systems, emphasizing their transformative role in reshaping pedagogical strategies. It explores adaptive learning technologies, intelligent tutoring systems, automated assessment methods, and data-driven curriculum design. The chapters discuss AI-enabled personalization, virtual learning assistants, predictive analytics, and the ethical implications of AI in education. By bridging technology and pedagogy, the book provides insights into innovative teaching models, equitable access to digital learning, and the creation of intelligent, inclusive, and future-ready educational ecosystems powered by AI and ML advancements.

Table Of Contents

Detailed Table Of Contents


Chapter 1

Artificial Intelligence and Machine Learning in Education: Foundations, Frameworks, and Future Possibilities

Roseline Jesudas, Roseline Jesudas

(Pages:34)

Chapter 2

Evolution of Modern Pedagogical Practices in Engineering and Applied Sciences

Archana D. Pathare, Anil P. Londhe

(Pages:35)

Chapter 3

Integrating Artificial Intelligence into Curriculum Design and Assessment Systems

Roseline Jesudas, Sajeena Gayathrri

(Pages:37)

Chapter 4

Personalized and Adaptive Learning Frameworks through Artificial Intelligence and Deep Learning

Kalpana K, Shaik Balkhis Banu

(Pages:36)

Chapter 5

Predictive Analytics and Machine Learning Models for Student Performance Evaluation

Shaik Balkhis Banu, Manisha N Rathod

(Pages:39)

Chapter 6

Automation in Assessment and Continuous Evaluation Using Machine Learning Algorithms

Anil P. Londhe, Dipak V. Pathare

(Pages:39)

Chapter 7

Project-Based and Problem-Based Learning through AI-Enhanced Design Thinking Approaches

Shaik Balkhis Banu, Manisha N Rathod

(Pages:33)

Chapter 8

Artificial Intelligence and Machine Learning Applications in Electric Vehicle Technology and Education

S. Poorna Chander Rao, S. Muthurajan

(Pages:31)

Chapter 9

AI-Powered Autonomous and Connected Electric Vehicles: Challenges and Educational Opportunities

Manoj Raghubir Hans, S. Muthurajan

(Pages:32)

Chapter 10

Innovative Pedagogical Frameworks for Next-Generation Civil Engineering Education

Ganesh Kumar Koshti, Nishigandha Vaijinath Mahamuni

(Pages:37)

Chapter 11

Machine Learning Models and Intelligent Tools for Enhancing Mathematical Problem-Solving Skills

Dipak V. Pathare, Archana D. Pathare

(Pages:34)

Chapter 12

Visualization and Simulation of Mathematical Concepts Using Artificial Intelligence Tools

Archana D. Pathare, Nishigandha Vaijinath Mahamuni

(Pages:32)

Chapter 13

Speech Recognition, Sentiment Analysis, and Conversational AI in English Language Pedagogy

Ranjitsinh Subhash Pawar, Vaidehi Prajit Bari

(Pages:36)

Chapter 14

AI-Assisted Academic Writing, Plagiarism Detection, and Grammar Enhancement Systems

Ranjitsinh Subhash Pawar, Ganesh Kumar Koshti

(Pages:33)

Chapter 15

Ethical, Cognitive, and Societal Implications of Artificial Intelligence in Education and Learning Ecosystems

Shaik Balkhis Banu, N L Mishra

(Pages:31)


Contributions


Dr. Pranita Mishra is an accomplished academician with qualifications in B.Ed., M.Ed., and M.A. in English, Education, and Sociology. She has conducted research on stress and burnout among elementary teachers.Currently serving as an Assistant Professor at Kendriya Hindi Sansthan, Agra, she brings a strong specialization in teacher stress and burnout, with a deep academic inclination towards gender sensitivity in education. She has authored two insightful books addressing issues of teacher stress and has published over ten research papers in reputed journals. Dr. Mishra is the Co-editor of Shikshak Unmesh (UGC CARE-listed), the departmental journal. Her contributions to the field of teacher education have been recognized through numerous prestigious national or international teaching awards. With a balanced blend of academic research, editorial leadership, and cultural engagement, Dr. Mishra continues to make significant contributions to teacher education and well-being.

Dr. B. Gayathri is a pioneering Associate Professor of Computer Science at Bishop Heber College since 2008, primarily focusing her extensive research on Green Cloud Computing and sustainable technology solutions. A highly prolific scholar, she has authored 12 books, published 33 journal papers, and presented 198 papers, reflecting her deep academic commitment. Her innovation is evidenced by 32 Indian filed/published patents and 6 Indian Grant patents, alongside 5 UK patents and 4 copyrights. Recognized for her excellence with 39 awards (including the Best Teacher Award), Dr. Gayathri extends her global influence as a reviewer for esteemed US journals (like JENRS and ASTESJ) and an editorial member of IJITRA (Oman), solidifying her status as a leading expert, consultant, and frequent guest speaker (79 occasions) in the field.

Dr.D.Sahadevudu presently working at Govt. College(A) Ananthapuramu district, Andhra Pradesh state from 2021. He also got Research Guide ship and supervising one PhD Scholar through SK University from 2021. He acted as a mentor and counsellor for Civil Services, Group I Services, Group II Services and various Government Jobs aspirants at BC Study Circle Ananthapuramu. He was invited to deliver Key note address for ANSET and Nehru Yuva Kendra in several occasions. He attended several National,International Seminars and presented various research papers. His articles published in different reputed National and International Journals. He was successfully completed training programmes from reputed Universities like Osmania University, University of Hyderabad, Maulana Azad National Urdu University, and Sri Venkateswara University. He is acting as Chairman Board of Studies for Journalism Subject Member Board of Studies for History Subject for Under Graduate Courses at Sri Krishnadevaraya University, Ananthapuramu. He is a life member of AP History Congress and Government College Teachers Association.

Mr. Manu Vasudevan Unni holds triple Master's degrees from institutions in France and India, demonstrating a strong academic background coupled with industrial experience. His research interests encompass a broad spectrum, including consumer behavior, privacy concerns, brand loyalty, strategic marketing, international business, and marketing. Presently, he is pursuing a Ph.D. at Christ University, Bangalore, while also serving as an Assistant Professor at St. Claret College Autonomous, Bangalore, India.

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