AI Chatbots and Student Engagement in Higher Education
Year: 2025
Type: article
Abstract: This paper will look at the impact of AI chatbots on the engagement of students in higher education by evaluating behavioral, cognitive, and emotional elements of interaction. With the help of survey data, platform usage indicator and qualitative feedback provided by students and teachers, the findings reveal that introducing chatbots to an online learning environment leads to a significant increase in engagement. According to students, they were able to access more academic assistance, communicate easier with their peers and teachers, and felt more encouraged to study the material. Regarding quantitative findings, the chatbot classes were 23 percent more likely to engage in discussion forums, 17 percent more likely to submit assignments on time, and 15 percent more likely to be generally satisfied with the course than no-chatbot control groups. Furthermore, the evidence shows that AI chatbots can be the most effective to facilitate group learning, mitigate communication barriers among international students, and provide engagement in asynchronous learning. Among the issues identified in the report, one must mention the necessity to enhance the accuracy of chatbot interaction at all times, the tendency of people to over-rely on automated responses. Overall, the findings indicate that AI chatbots can transform the process of the higher education sector by making it more interactive to students. Nonetheless, they must be used to the fullest by being aligned to teaching objectives and managed by humans.
Source: Social Thought and Policy Review
Authors: Sana Iftikhar, Bilal Shah
Language: English
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7220111146