Research Trends
Harnessing AI for Designing Data Collection Instruments
Published: Mar 14, 2025
In recent years, generative artificial intelligence (AI) has become a powerful tool for researchers in library and information science (LIS). Whether conducting user experience research, evaluating digital library services, or studying reading behaviors, LIS scholars often rely on well-designed data collection instruments such as surveys, interview guides, and codebooks for content analysis. AI can enhance these processes and increase efficiency in designing data collection instruments. Yet, AI-generated content should always be critically evaluated and revised to align with best practices in research methodology.
Effective Prompting When Using AI to Assist Research
Published: Feb 19, 2025
In the evolving landscape of academic research, Artificial Intelligence (AI) tools like ChatGPT and others have become indispensable partners for tasks ranging from literature reviews to data analysis, drafting manuscripts, and brainstorming ideas. However, using AI effectively requires more than just typing in a question—it begins with crafting a well-thought-out prompt. The way you phrase your request can significantly impact the quality and relevance of the AI’s response.
Using Generative AI Tools in Assisting Literature Research
Published: November 13, 2024
AI tools have become valuable allies for researchers, especially in conducting literature reviews. By automating time-consuming tasks like summarizing studies, extracting key themes, and identifying influential papers, AI streamlines the review process, allowing researchers to focus on analysis and interpretation. Tools like Consensus, Scite, and Elicit help synthesize complex data, provide evidence-based summaries, and even reveal emerging trends. This combination of efficiency and depth is transforming how literature reviews are conducted, making it easier to manage vast volumes of