Fostering Undergraduate Academic Research: Rolling out a Tech Stack with AI-Powered Tools in a Library

Abstract

With the increasing integration of AI tools like Yewno Discover, Scholarcy, and Grammarly in academic libraries, undergraduate research has witnessed transformative changes. These tools, while elevating the research process, also bring forth challenges rooted in ethics and application. This paper explores the synergy between modern technology and academic exploration, highlighting the benefits and potential pitfalls of using AI in the research workflow. It emphasizes that while Yewno Discover and similar tools offer streamlined navigation of vast information databases, it is imperative for undergraduates to remain cognizant of potential biases and other ethical considerations. This paper underscores the need for proactive measures in academic settings, including specialized training and policy development, to ensure that undergraduate researchers harness the power of AI responsibly and efficiently.

Keywords:

• Artificial Intelligence
• machine learning
• academic libraries
• information literacy
• undergraduate research
• no code tools

Disclosure statement

No potential conflict of interest was reported by the author(s).