The COVID-19 pandemic has created massive issues around the world. To ensure that education continued during the crisis, educational institutions had to implement a variety of initiatives. This paper aims to examine the growth and country collaboration on social media (SM) research during the COVID-19 pandemic through a systematic review and investigate the impact of this body of work by citation and network analyses. The number of articles, keywords, and clusters of worldwide academic scholars working in the area was mapped using R studio and the VOS viewer tool. According to the study results, 519 articles have been retrieved from the Web of Science in the field of domain. The USA has produced the most publications, and Chen IH and Lin CY were the most prolific authors. Furthermore, the most studies on SM use in higher education were released in the International Journal of Environmental Research and Public Health. This research will help academic researchers, organizations, and policymakers to understand the ongoing research on SM during the last pandemic. It will help future academics analyze the evolution of social media technologies in higher education throughout the pandemic and identify areas for further study.

In recent years, mobile learning has emerged as a promising educational paradigm, revolutionizing the landscape of higher education. As the world confronts escalating environmental challenges and calls for sustainable solutions, it becomes essential to explore the potential of mobile learning to contribute to a more sustainable future. This review encompasses a comprehensive analysis of the existing literature, focusing on empirical studies, theoretical frameworks, and case studies conducted between 2002 and 2021. A substantial corpus of 981 articles were selected for in-depth examination by employing rigorous inclusion and exclusion criteria. The findings reveal that mobile learning has witnessed significant growth and diversification within higher education, with pervasive adoption across various disciplines and student populations. The identified studies present many innovative mobile learning strategies, encompassing mobile applications, gamified learning platforms, augmented reality experiences, and location-based learning. In conclusion, this systematic review underscores the substantial potential of mobile learning in higher education toward a sustainable future. By harnessing technological innovations, promoting eco-friendly practices, and fostering digital inclusivity, institutions can embark on a transformative journey that enhances educational outcomes and contributes to environmental preservation and global sustainability efforts. Future research should focus on exploring new avenues for sustainable mobile learning and conducting longitudinal studies to assess the long-term impact of mobile learning initiatives on educational outcomes and environmental conservation.

Purpose: The purpose of this paper is to find out the level of awareness and use of e‐journals by the researchers of the Aligarh Muslim University (AMU) and the Banaras Hindu University (BHU) – both central universities funded by the University Grants Commission.Design/methodology/approach: A well‐structured questionnaire is administered to the research scholars of the AMU and BHU to collect data regarding the use of e‐journals.Findings: The survey reveals that most of the research scholars are aware of the availability of e‐journals and largely use them for reference purposes in their research work. They fully agree that with the usage of e‐journal the quality of research work improves with enrichment of appurtenant contents and materials leading to high‐quality manuscript. It is however found that lack of training is the obstacle in proper and full utilization of e‐journals.Research limitations/implications: The present paper consists only of e‐journal users and the geographical area is restricted to AMU, Aligarh and BHU, Varanasi. The scope of the paper can be extended to additional centrally funded universities. An intra‐comparative study could also be made between some select central and state universities for users of e‐journal.Originality/value: There are a number of studies on the use of e‐journals, but this is the first of its kind within Indian central universities. As such, it should pave the way for research in other Indian universities as well as elsewhere.

Clustering of multi-view data has got broad consideration of the researchers. Multi-view data is composed through different domain which shows the consistent and complementary behavior. The existing studies did not draw attention of over-fitting and sparsity among the diverse view, which is the considerable issue for getting the unique consensus knowledge from these complementary data. Herein article, a multi-view clustering approach is recommended to provide the consensus solution from the multi-view data. To accomplish this task, we exploit non-negative matrix factorized method to generate a cost function. Further, manifold learning model is used to build the graph through the nearest neighbor strategy, which is effective to save the geometrical design for data and feature matrix. Furthermore, the over-fitting problem, sparsity is handled through adaption of frobenious norm, and $L_{1}$ -norm on basis and coefficient matrices. The whole formulation is done through the mathematical function, which is optimized through the iterative updating strategy to get the optimal solution. The computational experiment is carried on the available datasets to exhibits that the proposed strategy beats the current methodologies in terms of clustering execution.