The Future of Education

Edition 15

Accepted Abstracts

AI Agents and Students’ Motivation to Learn in Online Learning Environment

Atef Abuhmaid, The Hashemite University (Jordan)

Abstract

This study sought out to examine the effects of using Artificial intelligence agents in online learning environments on students’ motivation to learn. As AI gaining increasing momentum in the educational institutions worldwide, its important to stay attuned to basics and foundations of learning and to consider key factors in students learning. Therefore, the current study utilized a Quasi-experimental research design in order to shed light on students’ motivation to learn when AI agents in online learning environment. A total of 115 students from the faculty of education at the Hashemite University, Jordan were divided into two groups: the experimental group (65), students were required to utilize Copilot in their online learning while they try to perform tasks and course-related activities, while the control group (50) was taught using the traditional online learning in both synchronous and asynchronous modes. A “Student Motivation Test” consisted of 30 item was developed and used to collect data from students regarding their experience with AI agents in online learning and its validity and reliability were tested and ensured.  The results of the study showed significant positive impact on students’ motivation to learn in favor of the experimental group which utilized AI agents in their online learning environment.

 

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