Application of AI in education and its influence on students’ critical thinking

The deep integration of generative AI into education has attracted widespread attention, but existing research lacks a systematic exploration of the long-term influence mechanism of critical thinking. This article analyzes the educational reconstruction and its dual effects triggered by the evolution of AI from a “tool” to a “cognitive partner”. Research shows that AI expands thinking training through personalized learning and immediate feedback. However, its algorithmic rationality implies cultural biases and a tendency towards data simplification, which may lead to the transfer of cognitive sovereignty and the compression of innovative thinking. The optimization strategies include: constructing a “technical buffer zone” to protect independent thinking; enhance algorithm transparency and cultural inclusiveness; promoting the transformation of teachers and improving the human-machine collaborative evaluation framework. The research emphasizes that AI education needs to strike a balance between technological empowerment and humanistic reflection to safeguard human cognitive sovereignty.

Authors

Institutions

Publication Details

Journal
SHS Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/shsconf/202522201010
Primary Topic
Education and Critical Thinking Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of AI in education and its influence on students’ critical thinking

Ruimeng Zhang
SHS Web of Conferences
Education and Critical Thinking Development
article

Application of AI in education and its influence on students’ critical thinking

Ruimeng Zhang
article en

Abstract

The deep integration of generative AI into education has attracted widespread attention, but existing research lacks a systematic exploration of the long-term influence mechanism of critical thinking. This article analyzes the educational reconstruction and its dual effects triggered by the evolution of AI from a “tool” to a “cognitive partner”. Research shows that AI expands thinking training through personalized learning and immediate feedback. However, its algorithmic rationality implies cultural biases and a tendency towards data simplification, which may lead to the transfer of cognitive sovereignty and the compression of innovative thinking. The optimization strategies include: constructing a “technical buffer zone” to protect independent thinking; enhance algorithm transparency and cultural inclusiveness; promoting the transformation of teachers and improving the human-machine collaborative evaluation framework. The research emphasizes that AI education needs to strike a balance between technological empowerment and humanistic reflection to safeguard human cognitive sovereignty.

SHS Web of ConferencesVol. 222
The Edgbaston Hospital (GB), University of Birmingham (GB)
Openalex Percentile: Top 72%
Education and Critical Thinking Development
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.