Students’ perspectives on AI conversations in brainstorming within learning management systems in higher education

Abstract

This article explores students’ perspectives on how AI conversations can enhance brainstorming within the Learning Management System (LMS), specifically Blackboard (BB). By analysing students’ feedback, the study investigates how students are familiar with AI conversation, benefits, challenges, and future possibilities of this approach. The sample was selected to reflect a variety of learning backgrounds, featuring brainstorming sessions with participants of different ages and academic disciplines. The research utilises both qualitative and quantitative techniques, including an electronic survey distributed to a group of 103 students (78 males and 25 females) enrolled in the Leadership, Entrepreneurship, and Innovation course as well as the University Success course. The average age of the participants is 29, with most being in their first or second year of study. The findings highlight the significant role of AI conversations in boosting brainstorming skills (60.19%). In addition, notable variations in the perceived advantages of AI conversation in brainstorming were (χ2 = 11.4, P < 0.01). χ2 = Correlation coefficient and P = Percentage. It is proposed to enhance e-learning systems by integrating AI. Universities should integrate AI conversational tools into their e-learning platforms to enhance student engagement. This can be achieved by developing AI platforms and providing comprehensive training for students and faculty on how to utilise these tools effectively. These platforms should also be integrated into assignments, group activities, and brainstorming sessions to encourage individual and group collaboration.