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India has been withstanding increasing pressure of enrolment in the higher education system, resulting in the creation of new universities in consonance with the recommendations of the Knowledge Commission (2007). Barring a few institutions of paramount excellence, the mushrooming universities fail to conform to equitability of quality and standards, that is teaching-learning-dissemination and research, except for accommodating higher gross enrolment ratio. It has resulted in an asymmetric and sporadic development of human resources, leaving a large basket of learners out of the pursuit for aspiring higher academic, research and professional enrichment. The country needs to develop an innovative common minimum curriculum and evaluation framework, keeping in view the trinity of diversity, equity and inclusion (DEI) across the Indian higher education system to deliver human resources with equitable knowledge, skill and intellectual acumen.

The paper has been developed using secondary information.

The manuscript has developed an innovative teaching-learning framework that would ensure every Indian HEI to follow a common minimum curriculum and partial common national evaluation system so that the learners across the country would enjoy the essence of equivalence.

This research has designed a comprehensive model to integrate the spirit of the “DEI” value proposition in developing curriculum and gearing common evaluation. This would enable the country to reinforce the spirit of social equity and the capacity to utilise resources with equitability and perpetuity.

Due to government policies, accreditation demands, competition, digital India reforms and National Education Policy (NEP) 2020, the need for electronic human resource management (e-HRM) has increased considerably in the Indian higher education (HE) sector, but the literature has revealed that the adoption of e-HRM practices in Indian HE institutions (HEIs) is still in its embryonic stage; therefore, the purpose of the current qualitative study is to explore the challenges and facilitators of e-HRM adoption in the Indian HE sector through interpretative phenomenological analysis (IPA).

The present study incorporates IPA, to capture the personal lived experiences of the HR executives employed in the Indian HEIs. Using purposive sampling, semi-structured interviews were conducted with the HR executives employed in Indian universities and institutions to know the perspectives on the adoption of e-HRM practices in Indian HEIs.

The study identified two superordinate themes, namely, challenges and facilitators of e-HRM adoption in the Indian HE sector. The superordinate theme “challenges” comprises eight sub-themes. Further, the theme “facilitators” consists of six subthemes.

The study has implications for the stakeholders of the HE sector, i.e. HR practitioners, top executives of the HE sector, government and HE regulators and other stakeholders of the HE sector.

This study has given deep insights into the challenges and facilitators in the adoption of e-HRM practices in the Indian HE sector, and to the best of the authors’ knowledge, no study till date has filled this knowledge gap through qualitative exploration using IPA.

Studies showed that a proactive delivery system employing innovative artificial intelligence (AI) in urban services might perform better. This has become an important national policy for many countries. Thus, this study aims to explore the influence of AI in urban services in Malaysia.

Official documents such as Structure Plan and Government Transformation Programme Policy Document covering various levels of cities in Malaysia, articles related to urban studies mostly written by researchers regarding urban growth in Malaysia and the Urban Development Bulletin from the Federal Department of Town and Country Planning from 1957 to date were reviewed and analysed.

The findings show that the influence of AI in urban services has long existed and been carefully planned by local authorities since colonial times. The development of global digital technology influences the upgrading of AI in urban services in Malaysia. Also, the success of AI in these municipal services is influenced by the rate of information technology literacy among the urban population. These developments have led to the definition of a conceptual city.

This paper's findings and conclusion were based on reviewed literature but did not compromise the strength of this paper. Thus, as part of the implications for future research, mixed-methods research design has been suggested.

As part of the implications, this article intends to promote AI in urban services in Malaysia and other developing countries with similar urban services challenges.

This paper encourages AI applications in urban services because it enhances service delivery performance. This intends to key stakeholders to promote AI via policies across Malaysia's urban services as part of the study implications.

Prospective students and other stakeholders in the education system use global and national rankings as a measure of the quality of education offered by different higher educational institutions. The ranking of an Institution is seen as a measure of reputation and has a significant role in attracting students. But are students happy in the top-ranked institutions? Does a high rank translate into high student satisfaction? This study answers this question taking data from top educational institutions in India.

This study examines how the top-ranked higher education institutions in India fare on student satisfaction. Using the data on key performance indicators published by the National Institutional Ranking Framework (NIRF) and student satisfaction scores of these institutions reported by NAAC, the study explores a possible relationship between the ranking of an institution and its student satisfaction score.

The study finds no significant relationship between the ranking of an institution and its student satisfaction score. The only institutional performance dimension which has a positive correlation with student satisfaction is graduate outcome. The diversity dimension is seen to be negatively correlated with student satisfaction.

The importance of modifying the ranking frameworks to account for the real drivers of student satisfaction is highlighted. The items in the student satisfaction survey should be regularly updated to reflect the actual concerns of the students. This is very important given the fact that the number of Indian students going abroad for higher education recorded a six-year high in 2022 at 750,365.

With more than 50,000 institutions catering to over 40 million students, India has the largest higher education system in the world. Given the high level of competition among these institutions, ranking and accreditation have become important parameters used by students for selection of an institution. But do top-ranked higher education institutions have the most satisfied student community? The assumption is disproved using the most credible secondary data. This study is the first of its kind in the Indian context. It has huge implications for the most respected ranking frameworks.

The purpose of this study was to analyze importance of artificial intelligence (AI) in education and its emphasis on assessment and adversity quotient (AQ).

The study utilizes a systematic literature review of over 141 journal papers and psychometric tests to evaluate AQ. Thematic analysis of quantitative and qualitative studies explores domains of AI in education.

Results suggest that assessing the AQ of students with the help of AI techniques is necessary. Education is a vital tool to develop and improve natural intelligence, and this survey presents the discourse use of AI techniques and behavioral strategies in the education sector of the recent era. The study proposes a conceptual framework of AQ with the help of assessment style for higher education undergraduates.

Research on AQ evaluation in the Indian context is still emerging, presenting a potential avenue for future research. Investigating the relationship between AQ and academic performance among Indian students is a crucial area of research. This can provide insights into the role of AQ in academic motivation, persistence and success in different academic disciplines and levels of education. AQ evaluation offers valuable insights into how individuals deal with and overcome challenges. The findings of this study have implications for higher education institutions to prepare for future challenges and better equip students with necessary skills for success. The papers reviewed related to AI for education opens research opportunities in the field of psychometrics, educational assessment and the evaluation of AQ.

The purpose of this study is to examine Indian language journals published in Arts, Humanities and Social Sciences (AHSS) included in the UGC-CARE list, which is an initiative of the University Grants Commission (UGC) of India. This study argues that although these journals do not appear in international databases, they are valuable because they frequently publish and have published for years, opinions, memoirs and critical review articles, especially the local culture.

This study examines 298 journals categorised into two groups: monolingual (189) and multilingual (109). The first group included 189 journals published in 15 Indian languages. Monolingual journals were examined using five criteria: year of publication, subject area, frequency, language and geographical zone of the publisher. Multilingual journals analysed as per languages covered.

The analysis reveals that the UGC-CARE List includes journals published between 1899 and 2019. The most common languages are Hindi (67), Urdu (31), Sanskrit (9) and Marathi (26). The frequency of majority (114) of journals is quarterly. Associations, universities, individual publishers and learned societies as publishers are dominant. Analysis of multilingual journals indicated that the highest number of journals (34) are published in English and Hindi.

Journals that fulfil the stringer criteria of three UGC-CARE journal analysis protocols find a place in the CARE List. The list is dynamic and is updated quarterly to maintain its currency and therefore its credibility. The list is available at http://ugccare.unipune.ac.in and is the list preferred by Indian Higher Education Institutes.

UGC-CARE List includes journals published by Indian publishers especially in the fields of Arts, Humanities and Social Sciences. It is the first initiative to battle against the predatory journals and effort to bring the Indian legacy of journals on the world map of journals and periodicals.

The aim of this study was the development and validation (D&V) of an assessment tool to measure administrators' attitudes towards the ‘Apprenticeship Embedded Degree Program (AEDP)’ in higher education institutions (HEIs).

A rigorous empirical method was followed encompassing four D&V phases: literature review, theoretical or face validation, validation with possible respondents or semantic validation and statistical validation. A pilot study was conducted among 150 randomly selected administrators from 50 different HEIs in India. The collected data were analyzed for statistical validation using exploratory factor analysis followed by confirmatory factor analysis.

The final version of the 21-item three-dimensional scale was found effective having significant degrees of reliability and validity. Exploratory factor analysis endorsed the factor extractions and data adequacy. The average variance extracted (AVE) for the three constructs (0.59, 0.70 and 0.66, respectively) were higher than the threshold value of 0.5, authorizing the convergent validity. The Cronbach alpha values (0.79, 0.81 and 0.77) were higher than the threshold value of 0.70, endorsing factors as reliable. Confirmatory factor analysis ascertained the multi-dimensionality of the scale and model fit having passable convergent validity. Discriminant validity (DV) was determined using the Fornell-Larcker criterion.

The newly developed “Administrators’ Attitude towards AEDP Scale” will serve as a valid psychometric tool for future research accosting AEDP implementation. It could be administered as an electronic tool as well, subject to potential adjustments reducing the identified ceiling effects and floor effects.

The scale is a unique addition to the allied literature based on an original empirical survey finding conducted in India.

This study aims to investigate character strengths, focussing on their development over time and application from a personal perspective.

The research was conducted using an autoethnographic, semi-structured interview approach with two participants: the authors themselves.

This study explored character strengths, their commonalities across generations and how personal experiences shape them. It also highlighted how to encourage others to recognise and use their strengths.

This study also enriches character strengths theory by addressing cultural and generational differences, aligning with positive psychology 3.0 (Lomas et al., 2020). This study also introduces a unique methodological approach to explore character strengths.

This study provides novel insights for personal growth, enhancing psychological evaluations and inter-generational discourse on knowledge transfer through the lens of character strengths. These can be used to develop interventions for a range of populations.

Through this personalised and culturally relevant approach, novel insights into the longitudinal effects of interactions between individual experiences and character strengths were gained. This study emphasised the dynamic nature of strengths and drew parallels to the tenets of Indian psychology, thereby underscoring the significance of strengths as a pivotal next step in the understanding of a person.

This study aims to delve into the perspectives of educators on integrating ChatGPT, an AI language model into management education. In the current research, educators were asked to talk as widely as possible about the perceived benefits, limitations of ChatGPT in management education and strategies to improve ChatGPT for management education. Also, shedding light on what motivates or inhibits them to use ChatGPT in management education in the Indian context.

Interpretative phenomenological analysis commonly uses purposive sampling. In this research, the purpose is to delve into educators’ perspectives on ChatGPT in management education. The data was collected from the universities offering management education in Uttarakhand, India. The final sample size for the study was constrained to 57 educators, reflecting the point of theoretical saturation in data collection.

The present study involved educators discussing the various advantages of using ChatGPT in the context of management education. When educators were interviewed, their responses were categorized into nine distinct sub-themes related to the benefits of ChatGPT in management education. Similarly, when educators were asked to provide their insights on the limitations of using ChatGPT in management education, their responses were grouped into six sub-themes that emerged during the interviews. Furthermore, in the process of interviewing educators about potential strategies to enhance ChatGPT for management education, their feedback was organized into seven sub-themes, reflecting the various approaches suggested by the educators.

In the qualitative study, perceptions and experiences of educators at a certain period are captured. It would be necessary to conduct longitudinal research to comprehend how perceptions and experiences might change over time. The study’s exclusive focus on management education may not adequately reflect the experiences and viewpoints of educators in another discipline. The findings may not be generalizable and applicable to other educational disciplines.

The research has helped in identifying the strengths and limitations of ChatGPT as perceived by educators for management education. Understanding educators’ perceptions and experiences with ChatGPT provided valuable insight into how the tool is being used in real-world educational settings. These insights can guide higher education institutions, policymakers and ChatGPT service providers in refining and improving the ChatGPT tool to better align with the specific needs of management educators.

Amid the rising interest in ChatGPT’s educational applications, a research gap exists in exploring educators’ perspectives on AI tools like ChatGPT. While some studies have addressed its role in fields like medical, engineering, legal education and natural sciences, the context of management education remains underexplored. This study focuses on educators’ experiences with ChatGPT in transforming management education, aiming to reveal its benefits, limitations and factors influencing adoption. As research in this area is limited, educators’ insights can guide higher education institutions, ChatGPT providers and policymakers in effectively implementing ChatGPT in Indian management education.

The study is an attempt to expand the knowledge about the psychological and behavioral aspects of Indian students studying abroad amidst fear of uncertainty and social unrest.

The exploratory study is employed to seek a better and deeper understanding of the possible impact of the potential war on the student abroad study process. In the study, the participants were selected from Delhi NCR of India. The thoughts and opinions of students on studying abroad under the fear of uncertainty were covered in a semi-structured interview.

Five broad themes emerged from the analysis of the interviews that influence students' choices and attitudes toward their decisions on studying abroad. The themes are “safety”, “fear of incomplete degree”, “financial stress”, “parents' apprehension” and “emotional breakdown”.

The study leveraged an understanding of the mindset of Indian students. Considering the student's doubts and fear over such uncertainty and war-like situations, the higher education policymaker can adopt some measures (hybrid education, short-term programs, student exchange programs, shift in destination, distance learning and new forms of educational technology) to cope with such upcoming challenges, ensuring their safety and pursuing their dreams by taking higher education abroad.

This qualitative study develops a comprehensive understanding of how students perceive such extreme crises and how their thoughts, attitudes and behavior toward studying abroad change. The study contributes to comprehending the student's description of perceptions, emotions, opinions and behaviors under the fear of uncertainty and social unrest.