Abstract With the continuous development of technology, big data analysis techniques have been widely applied in various fields. In traditional management approaches, administrators rely on manual data analysis and processing, which not only lacks efficiency but is also prone to errors. On the contrary, analysis methods based on clustering algorithms can provide effective support for management tasks. In this article, we will use the K-Means clustering... With the continuous development of technology, big data analysis techniques have been widely applied in various fields. In traditional management approaches, administrators rely on manual data analysis and processing, which not only lacks efficiency but is also prone to errors. On the contrary, analysis methods based on clustering algorithms can provide effective support for management tasks. In this article, we will use the K-Means clustering algorithm to extract useful information, thereby effectively improving the performance of college students on campus. We carefully preprocess this information, remove redundant content, and then categorize it, leading to a significant enhancement in college students’ performance. Read More Read Less

Abstract Digital literacy is increasingly recognised as a critical skill set for students entering a digitally-driven global economy. This research explores best practices and case studies of integrating digital literacy into higher education curricula in India. The study reviews the literature on theoretical frameworks such as the Technological Pedagogical Content Knowledge (TPACK) and the SAMRS (Substitution, Augmentation, Modification, and Redefinition) model, highlighting their application in educational... Digital literacy is increasingly recognised as a critical skill set for students entering a digitally-driven global economy. This research explores best practices and case studies of integrating digital literacy into higher education curricula in India. The study reviews the literature on theoretical frameworks such as the Technological Pedagogical Content Knowledge (TPACK) and the SAMRS (Substitution, Augmentation, Modification, and Redefinition) model, highlighting their application in educational contexts. Case studies from Indian institutions, including the Indian Institute of Technology Bombay (IIT Bombay), Amity University, Noida, and Symbiosis International (Deemed University), Pune, illustrate diverse approaches to curriculum integration, faculty development, technological infrastructure enhancement, and student engagement initiatives. Findings emphasise the significance of digital literacy in fostering critical thinking, problem-solving, and global competitiveness among students. The implications for educators, policymakers, and curriculum developers underscore the importance of continuous improvement and collaborative efforts to prepare students for future challenges and opportunities in a digitalised world. Read More Read Less

Abstract Updating the library’s collection is necessary to serve the user base better. Libraries purchase books and non-book resources for this purpose; occasionally, they may also accept gifts of books from the public or from within. However, it needs to be examined to see if this collection has been damaged or lost any ground due to natural causes like damage or book theft. So, stock... Updating the library’s collection is necessary to serve the user base better. Libraries purchase books and non-book resources for this purpose; occasionally, they may also accept gifts of books from the public or from within. However, it needs to be examined to see if this collection has been damaged or lost any ground due to natural causes like damage or book theft. So, stock verification needs to be done. Stock verification in the Presidency University Library is done every year. It includes verification through an RFID handheld scanner that stores the data and compares it to the accession register exported from Koha LMS software. The complete process, i.e., stock rectification, initial steps, stock checking, and report verification, is explained. Read More Read Less