From Libraries to AI: A Paradigm Shift in Search for References

Abstrak

Background of the study: The development of information technology, especially artificial intelligence (AI), has significantly changed the paradigm of searching for academic references. Students are now more likely to use AI-based tools that offer quick access and more relevant reading resource recommendations compared to traditional methods such as manual searches in libraries. For example, the use  of ChatGPT to summarize literature, DeepSeek for AI-based academic search, and Elicit which helps to automatically generate literature reviews, are becoming increasingly popular among students and researchers. This shift is not only happening in the academic environment but also in the professional world, where AI is increasingly being adopted to support research and information processing. The ease offered by AI allows students to quickly access academic literature from a wide range of global sources, although this also poses risks to the validity and reliability of the information obtained.

Purpose: This study aims to explore a paradigm shift in the way students choose reading resources, with a focus on the role of AI in the process.

Method: This study uses the literature review method to analyze behavioral shifts in information search, as well as the advantages and challenges faced in the use of AI.

Findings: The results of the analysis show that AI is able to increase efficiency in searching for references, but also raises concerns about students' critical thinking skills in evaluating information. In addition, academic libraries face challenges in maintaining their relevance in the digital era

Conclusion: Therefore, the integration of AI and libraries is a potential solution to ensure quick access to quality information, while developing student information literacy.