Chatbots in Educational Settings: A Comprehensive Literature Review

The application of chatbots based on generative artificial intelligence in education is increasingly widespread. But their effectiveness remains controversial and systematic research is scarce. This study conducts a systematic literature review of 25 empirical studies (2021–2025) to address three key questions: (1) What are the key application scenarios of chatbots in the field of education? (2) What are the key functional roles do chatbots in the field of education play? (3) How do chatbots in education affect students’ learning? The study found that educational chatbots can be divided into three categories: knowledge coordinators, emotional coordinators, and learning process coordinators. These chatbots influence students in cognitive, emotional, and behavioral dimensions. This study provides a structured understanding of chatbot applications in education, offering insights for future research and practice.

Authors

Institutions

Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/cste64638.2025.11092062
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Chatbots in Educational Settings: A Comprehensive Literature Review

Yi Zhang, Dengkang Chen, Lü Jing
AI in Service Interactions
article

Chatbots in Educational Settings: A Comprehensive Literature Review

Yi Zhang, Dengkang Chen, Lü Jing
article en

Abstract

The application of chatbots based on generative artificial intelligence in education is increasingly widespread. But their effectiveness remains controversial and systematic research is scarce. This study conducts a systematic literature review of 25 empirical studies (2021–2025) to address three key questions: (1) What are the key application scenarios of chatbots in the field of education? (2) What are the key functional roles do chatbots in the field of education play? (3) How do chatbots in education affect students’ learning? The study found that educational chatbots can be divided into three categories: knowledge coordinators, emotional coordinators, and learning process coordinators. These chatbots influence students in cognitive, emotional, and behavioral dimensions. This study provides a structured understanding of chatbot applications in education, offering insights for future research and practice.

Central China Normal University (CN)
Quality Education
Openalex Percentile: Top 90%
AI in Service Interactions
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.

Chatbots in Educational Settings: A Comprehensive Literature Review — Yi Zhang, Dengkang Chen, et al. · (2025) | TGRS Research Map | TGRS