Adopting Artificial Intelligence Tools in Higher Education
Student Assessment
Herausgeber: Abirami, A. M.; Murugan, Thangavel; Periasamy, Karthikeyan
Adopting Artificial Intelligence Tools in Higher Education
Student Assessment
Herausgeber: Abirami, A. M.; Murugan, Thangavel; Periasamy, Karthikeyan
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This edited volume explores the adoption of Artificial Intelligence (AI) tools in higher education, specifically focusing on student assessment. This book will appeal to educators, administrators, academics, and technology experts working in institutes of higher learning.
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This edited volume explores the adoption of Artificial Intelligence (AI) tools in higher education, specifically focusing on student assessment. This book will appeal to educators, administrators, academics, and technology experts working in institutes of higher learning.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 280
- Erscheinungstermin: 7. Mai 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032746685
- ISBN-10: 1032746688
- Artikelnr.: 72597021
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 280
- Erscheinungstermin: 7. Mai 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032746685
- ISBN-10: 1032746688
- Artikelnr.: 72597021
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Thangavel Murugan is an Assistant Professor in the Department of Information Systems and Security, College of Information Technology, and a Faculty Fellow of the Center for Excellence in Teaching and Learning at United Arab Emirates University. He holds a Doctorate from Madras Institute of Technology, Anna University, Chennai, and has over 11 years of teaching and research experience. His research specialization includes Information Security, High-Performance Computing, Blockchain, and Educational Technology. Karthikeyan Periasamy is an Associate Professor at Thiagarajar College of Engineering (TCE), Madurai, since 2007. He completed his Ph.D. program in Information and Communication Engineering at Anna University in 2015. His research interests include Computational Intelligence Algorithms and Educational Technology (ET). He has published over fifty-five papers in international journals, conferences, and book chapters. A.M. Abirami is an Associate Professor at Thiagarajar College of Engineering. She holds a PhD in Text Analytics and Semantic Web. Her interests include Data Analytics, Natural Language Processing, and Engineering Education. She has several publications in these areas and has received awards for her work in Engineering Education.
Table of Contents
Editor Biographies
Contributors Biographies
Preface
Chapter 1. AI-Driven Evaluation Techniques: Revolutionizing Student
Practices
Sajida Sultana. Sk, Dr. Renugadevi Rajaram, Maridu Bhargavi and Shaik Abdul
Afzal BIyabani
Chapter 2. Inclusive Learning and Assessment in the era of AI
Minal Patil, R H Goudar, Anand Nayyar, Dhananjaya G M and Vijayalaxmi N
Rathod
Chapter 3. Automated Grading Systems: Enhancing Efficiency and Consistency
in Student Assessments
SC Vetrivel, VP Arun, Ramya Ambikapathi, TP Saravanan
Chapter 4. The Potential and Drawbacks of Machine Learning for Student
Assessment
K.Kartheeban, Aanandaram V, Lakshminarasimman D, Kabalishwaran D
Chapter 5. NLP-Driven Approaches to Automated Essay Grading and Feedback
Nikhil V, Annamalai R and Senthil Jayapal
Chapter 6. Enhancing Learning Outcomes for the dyslexic students using
AI-Powered Assistants
Anjali Mathur
Chapter 7. Transforming Education Through AI-Powered Personalized
Assessment Models
Kanthimathi S, Prayasha Nanda, Shravan Venkatraman, Varsana Renganayagan
and Sivaraman Eswaran
Chapter 8. Enhancing Student Engagement and Success in Post-Covid19 through
AI Technologies
A. Peter Soosai Anandaraj, V. Murugananthan, A. Judith Arockiya Gladies, S.
Sridevi, V. Vijayalakshmi and B. Senthilkumaran
Chapter 9. AI Tools for Plagiarism Detection and Academic Integrity
S. Baghavathi Priya, B. Kavya Sai, and TamilSelvi Madeswaran
Chapter 10. Unlocking Potential: Personalizing Learning and Assessment with
Cutting-Edge Technologies
Renugadevi. R, Maridu Bhargavi, G.Kalaiarasi, P.Ranjith Kumar, A. Arul
Edwin Raj and B.Saritha
Editor Biographies
Contributors Biographies
Preface
Chapter 1. AI-Driven Evaluation Techniques: Revolutionizing Student
Practices
Sajida Sultana. Sk, Dr. Renugadevi Rajaram, Maridu Bhargavi and Shaik Abdul
Afzal BIyabani
Chapter 2. Inclusive Learning and Assessment in the era of AI
Minal Patil, R H Goudar, Anand Nayyar, Dhananjaya G M and Vijayalaxmi N
Rathod
Chapter 3. Automated Grading Systems: Enhancing Efficiency and Consistency
in Student Assessments
SC Vetrivel, VP Arun, Ramya Ambikapathi, TP Saravanan
Chapter 4. The Potential and Drawbacks of Machine Learning for Student
Assessment
K.Kartheeban, Aanandaram V, Lakshminarasimman D, Kabalishwaran D
Chapter 5. NLP-Driven Approaches to Automated Essay Grading and Feedback
Nikhil V, Annamalai R and Senthil Jayapal
Chapter 6. Enhancing Learning Outcomes for the dyslexic students using
AI-Powered Assistants
Anjali Mathur
Chapter 7. Transforming Education Through AI-Powered Personalized
Assessment Models
Kanthimathi S, Prayasha Nanda, Shravan Venkatraman, Varsana Renganayagan
and Sivaraman Eswaran
Chapter 8. Enhancing Student Engagement and Success in Post-Covid19 through
AI Technologies
A. Peter Soosai Anandaraj, V. Murugananthan, A. Judith Arockiya Gladies, S.
Sridevi, V. Vijayalakshmi and B. Senthilkumaran
Chapter 9. AI Tools for Plagiarism Detection and Academic Integrity
S. Baghavathi Priya, B. Kavya Sai, and TamilSelvi Madeswaran
Chapter 10. Unlocking Potential: Personalizing Learning and Assessment with
Cutting-Edge Technologies
Renugadevi. R, Maridu Bhargavi, G.Kalaiarasi, P.Ranjith Kumar, A. Arul
Edwin Raj and B.Saritha
Table of Contents
Editor Biographies
Contributors Biographies
Preface
Chapter 1. AI-Driven Evaluation Techniques: Revolutionizing Student
Practices
Sajida Sultana. Sk, Dr. Renugadevi Rajaram, Maridu Bhargavi and Shaik Abdul
Afzal BIyabani
Chapter 2. Inclusive Learning and Assessment in the era of AI
Minal Patil, R H Goudar, Anand Nayyar, Dhananjaya G M and Vijayalaxmi N
Rathod
Chapter 3. Automated Grading Systems: Enhancing Efficiency and Consistency
in Student Assessments
SC Vetrivel, VP Arun, Ramya Ambikapathi, TP Saravanan
Chapter 4. The Potential and Drawbacks of Machine Learning for Student
Assessment
K.Kartheeban, Aanandaram V, Lakshminarasimman D, Kabalishwaran D
Chapter 5. NLP-Driven Approaches to Automated Essay Grading and Feedback
Nikhil V, Annamalai R and Senthil Jayapal
Chapter 6. Enhancing Learning Outcomes for the dyslexic students using
AI-Powered Assistants
Anjali Mathur
Chapter 7. Transforming Education Through AI-Powered Personalized
Assessment Models
Kanthimathi S, Prayasha Nanda, Shravan Venkatraman, Varsana Renganayagan
and Sivaraman Eswaran
Chapter 8. Enhancing Student Engagement and Success in Post-Covid19 through
AI Technologies
A. Peter Soosai Anandaraj, V. Murugananthan, A. Judith Arockiya Gladies, S.
Sridevi, V. Vijayalakshmi and B. Senthilkumaran
Chapter 9. AI Tools for Plagiarism Detection and Academic Integrity
S. Baghavathi Priya, B. Kavya Sai, and TamilSelvi Madeswaran
Chapter 10. Unlocking Potential: Personalizing Learning and Assessment with
Cutting-Edge Technologies
Renugadevi. R, Maridu Bhargavi, G.Kalaiarasi, P.Ranjith Kumar, A. Arul
Edwin Raj and B.Saritha
Editor Biographies
Contributors Biographies
Preface
Chapter 1. AI-Driven Evaluation Techniques: Revolutionizing Student
Practices
Sajida Sultana. Sk, Dr. Renugadevi Rajaram, Maridu Bhargavi and Shaik Abdul
Afzal BIyabani
Chapter 2. Inclusive Learning and Assessment in the era of AI
Minal Patil, R H Goudar, Anand Nayyar, Dhananjaya G M and Vijayalaxmi N
Rathod
Chapter 3. Automated Grading Systems: Enhancing Efficiency and Consistency
in Student Assessments
SC Vetrivel, VP Arun, Ramya Ambikapathi, TP Saravanan
Chapter 4. The Potential and Drawbacks of Machine Learning for Student
Assessment
K.Kartheeban, Aanandaram V, Lakshminarasimman D, Kabalishwaran D
Chapter 5. NLP-Driven Approaches to Automated Essay Grading and Feedback
Nikhil V, Annamalai R and Senthil Jayapal
Chapter 6. Enhancing Learning Outcomes for the dyslexic students using
AI-Powered Assistants
Anjali Mathur
Chapter 7. Transforming Education Through AI-Powered Personalized
Assessment Models
Kanthimathi S, Prayasha Nanda, Shravan Venkatraman, Varsana Renganayagan
and Sivaraman Eswaran
Chapter 8. Enhancing Student Engagement and Success in Post-Covid19 through
AI Technologies
A. Peter Soosai Anandaraj, V. Murugananthan, A. Judith Arockiya Gladies, S.
Sridevi, V. Vijayalakshmi and B. Senthilkumaran
Chapter 9. AI Tools for Plagiarism Detection and Academic Integrity
S. Baghavathi Priya, B. Kavya Sai, and TamilSelvi Madeswaran
Chapter 10. Unlocking Potential: Personalizing Learning and Assessment with
Cutting-Edge Technologies
Renugadevi. R, Maridu Bhargavi, G.Kalaiarasi, P.Ranjith Kumar, A. Arul
Edwin Raj and B.Saritha