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.
| Original language | English |
|---|---|
| Title of host publication | AI in Education, Governance, and Leadership |
| Subtitle of host publication | Adoption, Impact, and Ethics |
| Publisher | IGI Global |
| Pages | 97-120 |
| Number of pages | 24 |
| ISBN (Electronic) | 9798337355528 |
| ISBN (Print) | 9798337355504 |
| DOIs | |
| Publication status | Published - 25 Jun 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 4 Quality Education
Fingerprint
Dive into the research topics of 'A bibliometric analysis of artificial intelligence: Impact on student motivation in education'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver