Abstract The present-day world is characterised by an increasing population and increasing interdependencies among nations. These increasing interdependencies have resulted in the need for improving bilateral and multilateral transactions, which have generated vast amounts of data. Further, the increasing interactions among people through multiple communication channels worldwide have resulted in an explosion of data. Since data is the raw material for getting meaningful and actionable... The present-day world is characterised by an increasing population and increasing interdependencies among nations. These increasing interdependencies have resulted in the need for improving bilateral and multilateral transactions, which have generated vast amounts of data. Further, the increasing interactions among people through multiple communication channels worldwide have resulted in an explosion of data. Since data is the raw material for getting meaningful and actionable information and recognising the differences in emerging patterns, constant association and sharing of the past, emerging and future data is essential to arrive at the hidden patterns of changing trends. Tracking the changing trends is very much crucial for making higher education meaningful in terms of character-building and developing relevant skills. The present work was taken up in this context and attempts in this direction by addressing the research question of ‘what are the challenges in linking the phenomenon of flooding of data and transforming the same into meaningful information necessary for making our higher education system purposeful’. The research adopts the approach of multiple research methods, viz., collating experts’ opinions through Delphi technique iterations, interviews with associated professionals, and a purposeful literature review. Based on the research, it was concluded that more interdisciplinary and trans-disciplinary interactions with open-mind are necessary to make the Indian higher education system more skill-oriented and sustainable. Based on the study, suggestions and recommendations were listed. Read More Read Less

Abstract The paper focuses on the understanding of e-learning, its advantages, the driving force behind e-learning, various forms of e-learning, essential characteristics of e-learning, how it is implemented and organised, the recent developments in technology, new methods in e-learning, quality assurance, and emerging policy issues. etc., are discussed in this section. Numerous other research artefacts are also discussed in this section of the presented thesis.... The paper focuses on the understanding of e-learning, its advantages, the driving force behind e-learning, various forms of e-learning, essential characteristics of e-learning, how it is implemented and organised, the recent developments in technology, new methods in e-learning, quality assurance, and emerging policy issues. etc., are discussed in this section. Numerous other research artefacts are also discussed in this section of the presented thesis. In summary, the key objective of this chapter is to provide optimal knowledge transfer related to the research and allied variables. It can help readers or audiences to understand research requirements and allied information effectively. Read More Read Less

Abstract The primary aim of this research study is to examine university students’ opinions on using ChatGPT in learning. This study used a survey method for which a well-structured online questionnaire was designed to gather data from postgraduate students at Mangalore University. The findings showed that the primary purpose of 336 (87.5%) students using ChatGPT was to prepare for examinations, and 318 (82.8%) of... The primary aim of this research study is to examine university students’ opinions on using ChatGPT in learning. This study used a survey method for which a well-structured online questionnaire was designed to gather data from postgraduate students at Mangalore University. The findings showed that the primary purpose of 336 (87.5%) students using ChatGPT was to prepare for examinations, and 318 (82.8%) of them used ChatGPT to organise notes. About 322(83.9%) users ‘Strongly agree’ and 33(8.6%) ‘Agree’ with the statement ‘I believe that using ChatGPT has increased the convenience of completing my academic tasks’, followed by 302 (78.7%) of the students ‘Agree’ and 67(17.4%) ‘Strongly agree’ with the statement ‘I believe that answers/responses from ChatGPT are reliable and accurate’. Data analysis discovered that students usually had positive feelings about using ChatGPT for learning. Read More Read Less

Abstract With the development of technology, significant progress has been made in the informatization of higher education, and the management of games has greatly benefited from this progress. To better use this information, we propose a decision tree algorithm that can effectively analyze and manage games to improve the quality of physical education teaching. First, we delve into our data mining method - the... With the development of technology, significant progress has been made in the informatization of higher education, and the management of games has greatly benefited from this progress. To better use this information, we propose a decision tree algorithm that can effectively analyze and manage games to improve the quality of physical education teaching. First, we delve into our data mining method - the C4.5 decision tree algorithm- and propose a complete course analysis, management system framework, and the corresponding database design. Then, we use ASP.NET as the development language, and with the support of SQL Server 2008 and Visual Studio 2010, we implement the system’s functionalities. After testing, we find that the proposed games analysis and management system performs excellently in terms of runtime and accuracy, providing strong support for improving the efficiency and quality of game management. Read More Read Less