This talk will summarize research conducted by EBSCO’s user research team on how generative AI tools like ChatGPT, SciSpace, and Semantic Scholar have shaped student research workflows. We will first take a deep-dive into the ways AI technology has (and hasn’t) shifted student mental models and expectations of research interfaces. We’ll give real-world examples from user interviews detailing how students integrate AI into various aspects of discovering, summarizing, and outlining research, as well as some of the areas where AI falls short of student needs. We’ll also discuss some of the most common barriers to student adoption of AI tools ranging from scholarly concerns over accuracy and information sources to institutional concerns over appropriate usage and academic integrity. Finally, we’ll discuss the ways these insights are guiding EBSCO’s user-centered approach to AI initiatives and what to expect from future development.
