DESIDOC Journal of Library & Information Technology

Exploring the Integration of Massive Open Online Courses in Social Sciences at Universities in Delhi

Raj Kumar Bhardwaj — 2025-05-09

The study aims to understand the integration of massive open online courses (MOOCs) in social sciences in Indian universities. Therefore, the present study comprehends the awareness of librarians on MOOCs in social sciences and their perspectives on the integration of MOOCs in formal education. The responses were received from senior library professionals at universities in Delhi, and their responses were analysed and presented in tables and figures. The study found that 85.71 % of respondents from universities stated MOOCs enhance the knowledge of learners. Besides this, 71.43 % of librarians consider MOOCs are found self-effective and also help in self-assessment. Furthermore, 71.43 % of librarians revealed the integration of MOOCs with formal education is required. And, 71.43 % of librarians opined that MOOC courses are a time-consuming process. Interestingly, 100 % of respondents expressed that MOOCs are flexible, useful and supplement to academic and professional growth. All respondents agree that learning concepts are easy in MOOCs. The study also found that accredited MOOCs stretch the learners’ capabilities and 85.7 % of respondents expressed that the user interface of the MOOCs are well designed and easy to navigate and functions well. Furthermore, found that MOOCs enhance professional development and career progression for employees, improving the curriculum. All respondents under study are aware of the Indian Copyright Act 1957 and related amendments

Leveraging Book Genre Classification using Machine Learning

Jhimli Adhikari — 2025-05-09

One helpful tool for book recommendations is a book summary. This article discusses categorizing books only on the basis of their title and summary, without taking into account the author’s background or place of origin. The title and abstract of the book make reference to the machine learning methods used to create the genre. This study assesses the capacity to distinguish between books based on their title and summary using four machine learning models. The dataset that can be found on the Kaggle website includes 10 distinct genre kinds and 4657 instances. The dataset is first subjected to exploratory data analysis, and then a machine learning based strategy is used to extract features from the book’s title and abstract using natural language processing techniques. We use 80 % of the samples (3,726 instances) to train the models, and the remaining 20 %
(931 instances) are used for testing. Every model’s performance is evaluated using a range of metrics, including accuracy, precision, recall, and F1score. The method also determines which words are most frequently used in each genre. Systems for automatically classifying books and making recommendations can be built using this framework.

Evaluation of Information System Framework and Suitability of Technology Tasks on the Continuing Intention to Adopt E-Learning Systems

Rina Fiati — 2025-05-09

This research aims to propose an information system framework that explores the relationship between perceived suitability and adoption factors in e-learning systems. The evaluation framework is built on previous information system success models and identifies the relationship between people, organisations, and technology task suitability. This research introduces a new framework by combining the dimensions of service quality, satisfaction, user behavior, and system accuracy. A quantitative approach was chosen to produce data objectively, used a questionnaire survey and structural equation modeling to analyse 782 respondents consisting of 643 students and 139 active lecturers at a university in Central Java, Indonesia. The results show that the relationship between humans and technology significantly affects sustainability intentions and perceived impacts. Meanwhile, people and organisations demonstrate attitudes and skills that positively impact system adoption. The findings of the study confirm the validity of the use of the proposed e-learning website application assessment model. Information and service quality variables influence user satisfaction and system use. Organisational elements influence user satisfaction and benefit value with level of significant 0.05 . In addition, a methodology was found that integrates human factors, organisational environment and technology suitability to assess system satisfaction and effectiveness.

Collection Development Using Data Analytics

D.S. Sengar — 2025-05-09

The study aims to revamp the collection development policy using data analytics techniques at IGDTUW, Delhi. the study used the circulation records from 2022 to 2024 and found 30,612 records of library holdings. Further, 16,905 circulation records were also downloaded and used in data analysis. The library holdings data included book titles, authors, call numbers, and accession numbers. Furthermore, library-holding records and circulation datasets were loaded into Python. The Pandas library was used to read the Excel files. The study found that 23.05 % of books were heavily used, while 76.95 % remained unused. Interestingly, 30.7 % of faculty-recommended books were borrowed, showing a gap between faculty-recommended titles and student needs. The results helped develop a policy for selecting and removing books, ensuring the library’s collection is relevant, user-friendly, and space-efficient. This study provides a simple method other libraries can follow in collection development and better use their resources.

Thematic Analysis of Doctoral Theses Awarded in Library and Information Science

Reshma Rana Verma — 2025-05-09

The study examines 3011 doctoral theses awarded at national level in the discipline of “Library and Information Science” and 62 doctoral theses awarded between 1950-2017 at the “Department of Library & Information Science, Panjab University, Chandigarh”. The analysis is based on the thematic classification of the doctoral theses. At the All-India level, theses have been classified into 68 themes while the 62 doctoral theses awarded by Panjab University are classified into 25 themes, with varying numbers per theme. The decade wise growth of doctoral thesis submitted at “Panjab University, Chandigarh” has been discussed to see the growth over the years. The literature review has made it evident that more focus is on the themes like Library use and user studies and Information and Communication Technology. In the present study, themes that have been arranged in rank and order are also discussed to draw a comparative view of national level themes with the “Panjab University, Chandigarh”. The study also aims to present the similarities and dissimilarities of the doctoral research theses objectively based on their themes.

The Significance of Professional Development for School Librarians and Teachers in Preventing Violence against Children in the Digital Environment

Anida Dudić Sijamija — 2025-05-09

Children and youth have predominantly shifted social activities into the digital sphere, leading to the consistent prevalence of digital technologies in the classroom. Besides numerous benefits, it also brought challenges, such as (cyber)bullying. Many teachers may approach the issue of cyberbullying with reservations, either because they do not view it as a serious problem or believe that they should not play a role in its resolution. Therefore, it is crucial to provide teachers and librarians with professional development on the challenges and risks of cyberbullying among pupils. Using quantitative method, this paper examines the competencies and experiences of teachers and librarians in Bosnia and Herzegovina in addressing the issue of cyberbullying among pupils. The importance of ongoing professional development and the availability of education in recognising risky behaviours of pupils online is particularly emphasised. The data indicates that, despite their engagement in lifelong learning, teachers and librarians require systematic and continuous training to understand and respond promptly to emerging digital risks involving children.

Perception of Ethical Considerations in Social and Humanistic Research

Bhaskar Mukherjee — 2025-05-09

Perception of ethical issues in academic and professional environment has become extremely essential with the increasing instances of misconduct in research. The present study tests the perception level of research scholars in the disciplines of social sciences and arts & humanities of Banaras Hindu University, Varanasi on various issues on research ethics. An open-ended questionnaire was distributed and 332 responses received from the scholars have been used for analysis. The results show researchers still perceived honesty (23 %), integrity/ dignity (18 %), responsible publication (10 %) as the top three issues under research ethics. There was lack of awareness on ethical issues like openness, informed consent, accountability etc. Scholars of social sciences and humanities are not well accustomed with existing ethical guidelines and they breach ethical norms. Despite several earlier studies mentioned that use of AI in research generate closely resemble existing research, therefore lacks transparency, non-neutral, hallucinated results, at least 34 % respondents are using/have used ChatGPT in research, mostly for academic writings followed by review of literature. Almost 36 % scholars have agreed that either they or their fellow researchers engaged in the data falsification, fabrication or manipulation in research, in spite, 52 % researchers believe in maintaining honesty, fairness and integrity in research is necessary. This research recommends the constitution of research ethics monitoring committee at university level to serve as a gatekeeper on the issues like informed consent, covert research, potentially sensitive topics, conflict of region, vulnerable participants.

Examining the Correlation between Presence in the University Ranking Systems with Countries’ Income and R&D Expenditure: A Study on Medical Sciences Universities

Romina Sepehr — 2025-05-09

This study aims to examine the presence of various countries in international university ranking systems, specifically the Shanghai Academic Ranking of World Universities (ARWU), QS, and the Times Higher Education (THE) World University Rankings, focusing on medicine and related sciences. It also explores the relationship between the presence in the university ranking systems and country’s income level and spending on Research and Development (R&D). Data was gathered from the websites of the three international university ranking systems, as well as from the Organisation for Economic Co-operation and Development (OECD) and the World Bank. Findings showed that 1191 universities from 100 countries are present in medical sciences sections of the three ranking systems. About half of these countries are classified as high-income, while fewer than five are classified as low-income. A significant correlation was found between a country’s income level and the number of its universities appearing in the rankings. High-income countries have a noticeably higher number of universities in these rankings than other income levels (p-value ≥ 0.001). Additionally, the study found a significant relationship between a country’s R&D spending and the presence of its universities in the rankings: THE (r = 0.33), QS (r = 0.24), and ARWU (r = 0.28). In conclusion, countries should consider increasing their investment in R&D to achieve higher positions in international university ranking systems.

Unveiling Trends in Deepfake Research

Swapan Paul — 2025-05-09

Deepfake technology leverages artificial intelligence to generate highly realistic, yet manipulated, videos that can potentially mislead or misinform the public, thereby creating ethical and social challenges. This study aims to analyse the evolution, productivity, and collaborative networks in deepfake research from 2018 to 2023, investigating the contributions of various authors, institutions, and countries to understand key trends and interdisciplinary impacts in this growing field. Using bibliometric methods, the research data was collected from Scopus database and analysed 1,548 publications across 700 sources. Tools such as RStudio and VOSviewer were employed to assess research performance and visualise co-authorship and citation networks. The analysis identifies computer science, engineering, and mathematics as leading fields, with China and the United States as primary contributors. Collaborative dynamics reveal substantial partnerships among these nations and with other active contributors like India and Singapore. Major research clusters were observed around influential journals, such as Lecture Notes in Computer Science. The study also provides an in-depth examination of citation patterns, revealing a high concentration of citations in specific journals and among leading authors. Furthermore, co-authorship networks illustrate the growing international collaborations in the field, with increasing interdisciplinary cooperation. The growth rate of deepfake research has surged, reflecting the rising importance of this topic in various domains. This study provides a comprehensive overview of the academic landscape of deepfake research, emphasising the thematic and collaborative structure. Through network visualisation and thematic analysis, the study underscores deepfake research’s global and interdisciplinary nature, setting a foundation for future explorations.

Research Collaboration and Impact of Central Agricultural University and Manipur University India

Rima Hazarika — 2025-05-09

The paper explores the research impact and collaboration of Central Agricultural University (CAU) and Manipur University (MU), India, between 2013 and 2022. A bibliometric analysis of 1,932 publications and 23,519 citations extracted from the Scopus database reveals a significant increase in publications. Notably, 77.64 % of these papers resulted from national collaborations, while 22.41 % had international, particularly with the United States, the United Kingdom, and South Korea. The analysis of co-authorship patterns indicates a decline in single and two-authored papers, while multi-authored papers have increased significantly. The study highlights the rapid growth of collaboration networks, with CAU, Imphal leading in national collaborations across 61 countries. These findings provide that both CAU and MU have significantly expanded their research networks, resulting in improved research output and citation impact.

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2025-05-09