Management education in India is elitist - attracting the well-heeled young men and women for positive association. It is predominantly a derivative of western management thoughts and practices. The foundations of Indian philosophy and worldview are unique and different from those of other countries. It has not evolved according to the situation on the ground in India. Or, at best, its development has been random. This monograph, based on a larger study, attempts to answer the following five questions as a basis to determine the relevance and course correction of management education and practices in India reflecting the ground realities. a) Is management applicable only to business situations? b) Is the functional approach in management inevitable? c) Is management applicable to non-organizational situations? d) Is there any inter-dependence between management education and practices? e) Does management in India need to focus more Indian thought? More than a hundred articles in international and Indian contexts have been reviewed to investigate the unexplored dimensions of management education and practices in India. The study focuses on conceptual gaps; contextual gaps; methodological gaps; identification and selection of the cases; data collection and analysis; management by individuals; and management for individuals. The management education in India is out of sync with the ground reality. It is time to revitalise it by contextualising both course curriculum and andragogy. This monograph has made a serious attempt and offered a few suggestions to re-engineer the management education in India. It presents a case for all those people responsible for management education in India to take a fresh look at the course curriculum and andragogy.

An inspiring academician and Professor in Management, popularly known as MKS, Prof. M. K. Sridhar is a Teacher, Researcher, Institution Builder, and Mentor to thousands of students across the world. With over four decades of teaching experience, Prof. MKS served as a Professor, Dean, and Director of the Department of Management Studies at Bangalore University. He was the Member Secretary and Executive Director of the Karnataka Knowledge Commission from 2009 to 2013. He was a Member of the Committee for drafting the National Education Policy and a Member of the All-India Board of Management Studies, AICTE. Currently, Prof. MKS is a member of the UGC, New Delhi, and the Executive Council of the Central University of Kerala. He was conferred with the “Karnataka Rajyotsava Award” by the Government of Karnataka, the “General President Gold Medal” by the Indian Science Congress Association, and the “Padma Shri” – the fourth highest civilian award for his contribution to the domain of Art and Literature.

This paper focuses on enhancing the accuracy of student performance prediction using LSTM and Random Forest algorithms. These algorithms are trained on Jordan datasets and also aimed to shed light on their internal workings. The methods of LIME and SHAP for achieving explainability have been employed to gain insights into the inner mechanisms of these prediction models. The study found that different explanation techniques yielded diverse outcomes in identifying the crucial factors influencing student success, even when using the same group of students and machine learning models. The results revealed that the LSTM model was predominantly influenced by the Parent Answering Survey and behavior features, as revealed by the LIME and SHAP methodologies. Conversely, the SPAP and LIME techniques unveiled that the Students Absence Days and Behavior features had a more pronounced influence on explaining the outcomes of the RF model.

Energies of graphs found a number of various remarkable applications in chemistry for finding H¨uckel molecular orbital total π-electron energy. For any simple graph with its minimum covering distance matrix and its corresponding Eigan values the minimum absolute deviation covering distance energy of ܩ is defined and derived the results on Minimum absolute deviation covering distance energy of few standard graphs and then their bounds also established.

Dr. Madhuri Mukhopadhyay is a passionate researcher specializing in ultrafast coherent spectroscopy and nonlinear optics both in experiments and theory. She believes in “eduvate,” a blend of education and innovation, and is a lifelong learner. She is a dedicated educator, she has a wide range of expertise that includes quantum mechanics, electromagnetic wave, light-matter interaction, computation, and material properties. Her recent research interests focus on the nonlinear optical behaviour of nano-photonics, controlled dissipation during exciton transport, and the application of deep learning in ultrafast spectroscopy. In her leisure time, Madhuri loves to travel and play badminton.

Educational institutions plays a crucial role in providing electronic resources to research scholars, students, and professionals. To ensure the integrity of licensed information and prevent malpractices, these institutions must uphold ethical standards. Additionally, they should raise awareness among users about issues such as copyright, data duplication, plagiarism, and other related concerns. This study is on Karnatak University research scholars for consideration of the ethics. Most of the respondents i,e., 41(68.3%) are aware of the copyright laws related to e-resources, only 1(1.7%) respondent never used open access resources for reference purpose and mainly this study found that the respondents i.e., 23 (38.3%) are strongly agreed the statement that yes very clearly communicated about ethical guidelines in using e-resources.