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A Bibliometric Analysis of Artificial Intelligence: Impact on Student Motivation in Education
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Author(s): Liu Dan (University of Technology Malaysia, Malaysia), Hasnah Binti Mohamed (University of Technology Malaysia, Malaysia)and Hassan Abuhassna (Sunway University, Malaysia)
Copyright: 2026
Pages: 24
Source title:
AI in Education, Governance, and Leadership: Adoption, Impact, and Ethics
Source Author(s)/Editor(s): Bosede Iyiade Edwards (Universiti Sains Malaysia, Malaysia), Hassan Abuhassna (Sunway University, Malaysia), Damola Olugbade (University of South Africa, Pretoria, South Africa), Olayinka Anthony Ojo (University of Bolton, United Kingdom)and Wan Ahmad Jaafar Wan Yahaya (Universiti Sains Malaysia, Malaysia)
DOI: 10.4018/979-8-3373-5550-4.ch005
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Abstract
Artificial intelligence (AI) enhances students' learning motivation through personalized learning systems and intelligent tutoring in education. It provides students with immediate feedback and support to help them overcome their learning difficulties. In addition, the interactive learning environment created by AI further stimulates students' interest and engagement in learning.The impact of AI on student motivation to learn is crucial for improving the teaching system. In this paper, the PRISMA statement template is used for bibliometric analysis, and the Scopus database is used to analyze the publications from 2014 to 2023. 216 papers are retrieved to obtain insights on artificial intelligence and student motivation. The selection criteria are specific inclusion and exclusion criteria that analyze the distribution of publications from 2014 to 2023, the most important countries, research keywords and subject areas, and the most relevant authors and journals.These results offer insightful information about the field's current research interests.
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