Trends of generative AI applications in educational settings

With the development and widespread adoption of Generative Artificial Intelligence (GenAI), educational institutions and scholars worldwide have begun exploring the potential contributions and applications of GenAI in education. This study aimed to identify the primary research directions of GenAI in education using keyword co-occurrence analysis, by revealing the commonly used keywords for GenAI application in educational research as well as the correlations between different research topics. The results indicate that current research on GenAI in education primarily focuses on learners' perceptions of using GenAI and literature reviews of GenAI in education research. Over time, studies on the evaluation of the learning effectiveness of GenAI have increased; however, there are still fewer studies on the testing and development of GenAI as a teaching support tool and the application of GenAI as an evaluation and feedback tool. Moreover, there is a notable lack of analysis of the cognitive and behavioural characteristics of learners during the learning process of GenAI. Based on the analysis results, this study provides recommendations for future research within each research category.

Authors

Institutions

Publication Details

Journal
International Journal of Mobile Learning and Organisation
Published
2025-01-01
DOI
https://doi.org/10.1504/ijmlo.2025.149024
Citations
12
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
20.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trends of generative AI applications in educational settings

Yi Lu, Yun Fang Tu
12 citations
International Journal of Mobile Learning and Organisation
Online Learning and Analytics
20.32
article

Trends of generative AI applications in educational settings

Yi Lu, Yun Fang Tu
article en
12 citations

Abstract

With the development and widespread adoption of Generative Artificial Intelligence (GenAI), educational institutions and scholars worldwide have begun exploring the potential contributions and applications of GenAI in education. This study aimed to identify the primary research directions of GenAI in education using keyword co-occurrence analysis, by revealing the commonly used keywords for GenAI application in educational research as well as the correlations between different research topics. The results indicate that current research on GenAI in education primarily focuses on learners' perceptions of using GenAI and literature reviews of GenAI in education research. Over time, studies on the evaluation of the learning effectiveness of GenAI have increased; however, there are still fewer studies on the testing and development of GenAI as a teaching support tool and the application of GenAI as an evaluation and feedback tool. Moreover, there is a notable lack of analysis of the cognitive and behavioural characteristics of learners during the learning process of GenAI. Based on the analysis results, this study provides recommendations for future research within each research category.

International Journal of Mobile Learning and OrganisationVol. 19(4)
National Taiwan University of Science and Technology (TW), Soochow University (TW)
Openalex Percentile: Top 1%
Online Learning and Analytics
20.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Trends of generative AI applications in educational settings — Yi Lu, Yun Fang Tu · International Journal of Mobile Learning and Organisation (2025) | TGRS Research Map | TGRS