Machine Learning based Approaches for Pedagogical Data Analysis

Anirban Mukherjee has a Bachelors in Civil Engineering (1994) from Jadavpur University, Kolkata and PhD from Indian Institute of Engineering, Science and Technology (IIEST), Shibpur, India. He has been a Professor in the Department of Information Technology at RCC Institute of Information Technology, Kolkata, India for the past 24 years teaching engineering and management and more than 14 years of experience in academic administration including accreditation of academic programs. His research interests include Computer Graphics, Computational Intelligence, Optimization and Digital Pedagogy. He has co-authored 2 UG engineering (CSE) textbooks and 18 books on Distance Learning Programs of BBA/MBA/BCA/MCA courses of different Universities across India. Besides authoring several papers/chapters published in journals, books, and conferences he is the co-editor of 8 edited books published by international publishers. He is a life member of the Computer Society of India and Fellow of Institution of Engineers (India) and Science Association of Bengal (SAB).Arpan Deyasi is an Associate Professor in the Department of Electronics and Communication Engineering in RCC Institute of Information Technology, Kolkata, India. He has over 18 years of professional experience in academia and industry. He has a B.Sc. in Physics (Hons), B.Tech and M.Tech in Radio Physics and Electronics, all from University of Calcutta and PhD from Maulana Abul Kalam Azad University of Technology, India in Nanoelectronics. His work spans around in the field of semiconductor nanostructure, semiconductor photonics, and education technology. He has published over 200 peer-reviewed research papers and edited 8 books, and 2 are in press. He has completed two funded projects as a P.I., and another 2 are ongoing. He has already served as technical consultants of various industrial projects. He is associated with different conferences in various aspects, and also serving as Guest Editor of a renowned journal. He is senior member of IEEE, Chair of IEEE Electron Device Society (Kolkata Chapter), Fellow of IE(I), IETE, ISVE. Dr. Deyasi has received several professional awards including Pedagogical field for his performance in SWAYAM-NPTEL.Soumen Mukherjee has a B.Sc. (Physics Honours) from Calcutta University, MCA from Kalyani University, and ME in Information Technology from West Bengal University of Technology, India. He is a silver medallist in the ME in Information Technology at West Bengal University of Technology (now MAKAUT). He has a Postgraduate Diploma in Business Management from the Institute of Management Technology, Center of Distance Learning, Ghaziabad, India and a PhD in Computer Science from West Bengal State University. He is an Associate Professor, IT Department at RCC Institute of Information Technology, Kolkata, India. He has more than 20 years of teaching experience in the field of information technology, computer science, and applications. He has around 60 research papers published in different important journals, conferences and more than 10 book chapters in different books by major publishers. He has contributed to over 20 books and edited 3 book volumes. He has served as Program and Editorial Chair in International Conference ICCSE 2016 proceedings. He is also served as a reviewer in some reputed journals and prestigious conferences. He got two best paper awards at international and national conferences. His research fields are image processing, soft computing, machine learning, and pedagogy. He is a life member of several institutions like ISCA, CSI, ISTE, and FOSET. He is a Fellow of IETE.Pampa Debnath is an Assistant Professor in the Department of Electronics and Communication Engineering in RCC Institute of Information Technology, Kolkata, INDIA. She has more than 15 years of professional teaching experience in academics. Her research interests cover Microwave devices, Microstrip Patch antennas, Photonic crystal based integrated circuit, and education technology. She has published several peer-reviewed research papers in journals, conferences, and a few edited volumes. She has already served as an Editor and also as a technical chair of an ICCSE 2016, coordinated a few Faculty Development Programmes, Workshops, Laboratory and Industrial visits, seminars and technical events under the banner of The Institution of Engineers (INDIA) Kolkata section. She has served as a reviewer of some reputed journals and conferences. Prof. Debnath is a member of The Institution of Electronics and Telecommunication Engineers (IETE), Indian Society for Technical Education (ISTE), International Association for Engineers (IAENG).Lidia Ghosh (Gold-Medalist, M.Tech., JU) is an Assistant Professor in the Department of Computer Application at the RCC Institute of Information Technology, India. She was a Postdoctoral Fellow at Liverpool Hope University, UK, and has received multiple prestigious fellowships, including the Rashtriya Uchchatara Shiksha Abhiyan Doctoral Fellowship. She has published over 50 research papers and serves as a reviewer for top IEEE journals. Her research focuses on Cognitive Neuroscience, Deep Learning, Type-2 Fuzzy Sets, and Human Memory Formation.

• Preface. Theme: Artificial Intelligence in Digital Education. 1. Machine Learning Architectures for Pedagogical Data-Driven Teaching, Learning, and Assessment. 2. Artificial Intelligence in Education: Intelligent Tools and Techniques for Effective Teaching and Learning. 3. Usage of Library Resources supporting Informal Learning in Constructing Information Resilient Society: A Pedagogical Approach. 4. Recipe Vision: A Machine Learning Approach for Pedagogical Food Image Analysis and Image-to-Recipe Generation. Theme: Artificial Intelligence in Education Management. 5. A Research Agenda on NLP and NLU Applications in Developing Learning and Teaching Assistants. 6. A Novel Machine Learning Based Approach for Evaluating the Correctness of An English Sentence. 7. Data Retrieval from Documents by Question-Answer Approach: Using Large Language Model Application Architecture Based on the Retrieval Augmented Generation Model. 8. Facial Recognition-Enabled Classroom Attendance System. 9. Early Stage Mental Health Screening for Students using Machine Learning Techniques. 10. Machine Learning Based Spam Email Identification through Subject Affinity Applied for Pedagogical Persuasion Analysis. 11. A Machine Learning Approach to Recommendation System for Educational Data Analysis. Theme: Disruptive Technologies in Pedagogy. 12. Explainable AI: Enhancing Transparency and Trust in Educational Technology. 13. Embracing the Digital Frontier: Generative AI in Higher Education.