Research on AI in Psychological Intervention in Adolescent Learning

In recent years, China's artificial intelligence has developed rapidly, with many policies introduced to encourage the growth of the AI industry. Moreover, it actively promotes the sustainable development of artificial intelligence. At the same time, the artificial intelligence industry has become the driving force of a new round of education revolution, actively promoting the transformation and upgrading of traditional education and giving birth to many new education industries, which is crucial to the development of educational psychology. This paper aims to show how adolescents can use artificial intelligence technology to build a personalized learning psychological intervention model to improve their learning motivation. To this end, self-determination and self-efficacy theories will be applied to answer these questions. By integrating the existing research and prospects of multiple researchers, this paper examines how adolescents can use artificial intelligence to boost their learning motivation. The findings demonstrate how teenagers can use artificial intelligence tools, like natural language processing and machine learning algorithms, to construct personalized learning psychological intervention models to improve their learning motivation, self-efficacy, and academic performance.

Authors

Institutions

Publication Details

Journal
Advances in Economics Management and Political Sciences
Published
2025-04-21
DOI
https://doi.org/10.54254/2754-1169/2025.22145
Primary Topic
Resilience and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on AI in Psychological Intervention in Adolescent Learning

Yu-Zhe He
Advances in Economics Management and Political Sciences
Resilience and Mental Health
article

Research on AI in Psychological Intervention in Adolescent Learning

Yu-Zhe He
article en

Abstract

In recent years, China's artificial intelligence has developed rapidly, with many policies introduced to encourage the growth of the AI industry. Moreover, it actively promotes the sustainable development of artificial intelligence. At the same time, the artificial intelligence industry has become the driving force of a new round of education revolution, actively promoting the transformation and upgrading of traditional education and giving birth to many new education industries, which is crucial to the development of educational psychology. This paper aims to show how adolescents can use artificial intelligence technology to build a personalized learning psychological intervention model to improve their learning motivation. To this end, self-determination and self-efficacy theories will be applied to answer these questions. By integrating the existing research and prospects of multiple researchers, this paper examines how adolescents can use artificial intelligence to boost their learning motivation. The findings demonstrate how teenagers can use artificial intelligence tools, like natural language processing and machine learning algorithms, to construct personalized learning psychological intervention models to improve their learning motivation, self-efficacy, and academic performance.

Advances in Economics Management and Political SciencesVol. 176(1)
Wenzhou-Kean University (CN)
Openalex Percentile: Top 89%
Resilience and Mental Health
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.

Research on AI in Psychological Intervention in Adolescent Learning — Yu-Zhe He · Advances in Economics Management and Political Sciences (2025) | TGRS Research Map | TGRS