Enhancing Online Class Engagement through Generative AI: A Research using Microsoft Graph and Gemini APIs

Abstract

The education landscape has undergone a significant transformation, with online learning emerging as the preferred mode of instruction for many students. Remote learning required a variety of digital tools and technologies that not all students and teachers could use. As some students struggled to adjust to an unfamiliar environment, attendance and engagement varied. Various methodologies were employed to enhance student involvement, classified into the domains of Virtual Reality, Augmented Reality, Internet of Things, and Artificial Intelligence (AI). The application of AI in this particular area demonstrated encouraging outcomes compared to other domains. Therefore, this paper incorporates Generative AI to enhance the existing AI literature. Multiple APIs were utilized, and their configuration procedures were thoroughly described. The findings in this paper show that the utilization of Microsoft Graph and Gemini APIs facilitated the gathering of transcripts/recordings and the creation of questions based on the content that was presented. The Streamlit web application employs these questions and presents them to students in order to evaluate their degree of engagement. The aim of this paper is to propose a solution for fostering engagement in online classes by encouraging students to consistently interact with the presented content through generated questions. 

https://doi.org/10.59200/ICONIC.2024.009