Editors: Tahmeena Khan, Manisha Singh, Saman Raza

Artificial Intelligence: A Multidisciplinary Approach towards Teaching and Learning

eBook: US $59 Special Offer (PDF + Printed Copy): US $105
Printed Copy: US $75
Library License: US $236
ISBN: 978-981-5305-19-7 (Print)
ISBN: 978-981-5305-18-0 (Online)
Year of Publication: 2024
DOI: 10.2174/97898153051801240101

Introduction

Artificial Intelligence: A Multidisciplinary Approach towards Teaching and Learning explores the evolving role of AI in education, covering applications in fields such as bioinformatics, environmental science, physics, chemistry, economics, and language learning. Written by experts, this book provides a comprehensive overview of AI's integration into diverse subjects, offering insights into the future of AI in education and its potential to enhance academic research and pedagogy. Targeted at faculty, students, and professionals, the book addresses AI's role in blended learning environments and offers practical tools for educators seeking to incorporate AI into their teaching practices.

Key Features:

  • - Multidisciplinary exploration of AI in teaching and learning.
  • - Practical tools and methodologies for educators.
  • - Insights into AI-driven innovations in research.
  • - Relevant to a broad audience, from students to professionals.

Readership:

Undergraduate/Graduate students, academics, and professionals interested in AI applications in education.

Foreword I

- Pp. i
Umesh Chandra Vashishtha
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Foreword II

- Pp. ii
Omid Ameri Sianaki
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Preface

- Pp. iii
Tahmeena Khan, Manisha Singh, Saman Raza
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List of Contributors

- Pp. iv-v (2)

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The Evolution of Artificial Intelligence from Philosophy to New Frontier

- Pp. 1-25 (25)
Manisha Singh*, Arbind K. Jha, Tahmeena Khan, Saman Raza

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Artificial Intelligence and Bioinformatics: A Powerful Synergy for Drug Design and Discovery

- Pp. 26-79 (54)
Chanda Hemantha Manikumar Chakravarthi, Viswajit Mulpuru, Nidhi Mishra*

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Artificial Intelligence Assisted Teaching and Learning and Research of Environmental Sciences

- Pp. 80-114 (35)
Tahmeena Khan*, Priya Mishra, Kulsum Hashmi, Saman Raza, Manisha Singh, Seema Joshi, Abdul Rahman Khan

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Integrating AI Approaches in Teaching-Learning Associated with the Mitigation of Air Pollution: A Comprehensive Analysis

- Pp. 115-127 (13)
Rahila Rahman Khan*, Ahmad Faiz Minai, Rushda Sharf

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Applications of Neural Network in Physics: Cosmology and Molecular Dynamics

- Pp. 128-147 (20)
Vivekanand Mohapatra, Dhruv Agrawal*, Shubhamshree Avishek

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Role of Artificial Intelligence in Teaching and Learning Chemical Sciences

- Pp. 148-172 (25)
Shahla Tanveer*, Mariyam Tanveer, Ayesha Tanveer

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AI Tools for Teaching-Learning Chemistry

- Pp. 173-193 (21)
Saman Raza*, Satya, Tahmeena Khan, Manisha Singh

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Transformation in the World of Commerce and Economics through AI

- Pp. 194-215 (22)
Umang Tandon*, Apoorva Tandon, Tarang Mehrotra

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Transforming English Pedagogy with Artificial Intelligence: Enroute to Enhanced Language Learning

- Pp. 216-241 (26)
Leena Rajak, Sangeeta Chauhan*, Sonu Bara

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Revolutionizing Learning Landscapes: Unleashing the Potential of AI in the Realm of Academic Research

- Pp. 242-264 (23)
Waseem Zahra*, Gunjan Rautela

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Future Trends and Innovations in Artificial Intelligence

- Pp. 265-287 (23)
Samiya Farooq*, Pooja Mishra

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Subject Index

- Pp. 288-293 (6)
Tahmeena Khan, Manisha Singh, Saman Raza
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