Exploring generative AI in higher education: a RAG system to enhance student engagement with scientific literature.

ABSTRACT:

Introduction

This study explores the implementation and evaluation of OwlMentor, an AI-powered learning environment designed to assist university students in comprehending scientific texts. OwlMentor was developed participatorily and then integrated into a course, with development and evaluation taking place over two semesters. It offers features like document-based chats, automatic question generation, and quiz creation.

Methods

We used the Technology Acceptance Model to assess system acceptance, examined learning outcomes, and explored the influence of general self-efficacy on system acceptance and OwlMentor use.

Results

The results indicated complex relationships between perceived ease of use, perceived usefulness, and actual use, suggesting the need for more dynam

SUBMITTER: Thus D 

PROVIDER: S-EPMC11502405 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature