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The purpose of this study is to explore the feasibility of using ChatGPT-based chatbot systems as an alternative to traditional knowledge base-based chatbot systems in library and information centers (LICs).

The study used a qualitative research approach to examine the viability of ChatGPT-based chatbot systems in LICs. The researchers conducted an extensive literature review and analyzed data collected from interviews with experts in the field of library and information science.

The findings of the study reveal that ChatGPT-based chatbot systems are a viable alternative to traditional knowledge base-based chatbot systems in LICs. ChatGPT has the potential to provide more accurate and personalized responses to user queries, improve the user experience and reduce the workload of library staff. However, there are some limitations to the use of ChatGPT in LICs, such as the need for substantial training data and the risk of perpetuating biases.

To the best of the authors’ knowledge, this study is one of the first to explore the potential of ChatGPT-based chatbot systems in the context of LICs. The research provides insights into the advantages and limitations of ChatGPT-based chatbots and highlights the possibilities for future use of this technology in the information service industry.

The purpose of this research paper is to explore the significance of language processing in library systems and evaluate the effectiveness of integrating artificial intelligence and generative pre-trained transformer (GPT) technology in modern libraries. Specifically, the paper focuses on SheetGPT, a Google Sheet and GPT Plugin and its impact on language processing in library systems.

This paper adopts a comprehensive analysis approach to evaluate the integration of SheetGPT in library systems. The authors outlined a user-friendly approach for installation and use of SheetGPT using its “beginner plan”, appropriate for personal/student use or extended experimentation. The study includes a quantitative analysis to provide a thorough understanding of the benefits and limitations of SheetGPT in library systems.

The findings of this research paper suggest that SheetGPT is a highly effective language-processing tool for library systems. Additionally, ChatGPT’s integration with Google Sheets and easy accessibility over Google Marketplace makes it an efficient and user-friendly tool for library professionals. Overall, this study highlights the potential of SheetGPT to enhance language processing in library systems

This research paper contributes to the existing literature by providing a comprehensive analysis of the effectiveness of SheetGPT in library systems. The study’s approach is unique in that it evaluates SheetGPT’s impact on language processing and provides insights into its benefits and limitations. The study’s findings are original and provide a valuable resource for library professionals and researchers interested in exploring the potential of SheetGPT to enhance language processing in library systems.

This study aims to explore the nature and extent of collaboration among library and information science (LIS) departments, faculty members and practitioners. It also intends to identify the challenges and future prospects of collaboration in Pakistan.

Face-to-face and telephonic semi-structured interviews were conducted with 17 faculty members (professors, associate professors and assistant professors) from eight LIS departments. A thematic analysis approach was used to answer the research questions.

A thematic analysis of the participants’ opinions reveals a weak and informal collaboration among LIS stakeholders. However, high level of awareness among faculty members regarding the potential benefits of collaborative activities was observed. Their urge for developing liaison and collaboration with stakeholders is a positive indication that requires visionary leadership and committed efforts to ensure long term success.

The study aspects discussed may provide guidelines for creating future planning and growth of professional collaboration in Pakistan. The scope of this study may be extended to groom national, regional and international collaborative activities in other countries with same conditions. Though this study is conducted in Pakistan, the findings may be extended to other parts of developing countries with similar context.

It will serve as a guideline for further research, as it has addressed an untouched area and reports original research.

This study aims to explore disciplinary differences in completing blended learning tasks in an academic literacy course and the feasibility of adopting a blended learning analytics approach to explore disciplinary differences.

Following a learning analytics approach, this study blends data from the learning management system and timetabling arrangements.

Results suggest that online behaviors of design students and accounting students are different in terms of starting day and completion rate. Blending data sources also provides a new perspective to our learning analytics study.

This study is an important contribution to the field because studies on learning analytics with multiple data sources are rare, and most disciplinary studies rely on survey data; students’ actual behaviors are under-explored.