Research on Strategies for Improving College Students' Independent Learning Ability in the Context of Artificial Intelligence

This paper discusses the role and strategies of artificial intelligence technology in enhancing the independent learning ability of college students. With the rapid development of artificial intelligence technology, the field of education is experiencing unprecedented changes, which presents new challenges and opportunities for the independent learning ability of college students. The article first analyzes the current status of the application of artificial intelligence in education, including personalized learning content push, adaptive learning path planning, etc., and points out the current problems faced, such as low technology integration and imperfect personalized services. Then, the article emphasizes the importance of enhancing the independent learning ability of college students, including personal development, social adaptation, moral responsibility and other aspects. The article also discusses the problems of artificial intelligence in college students' independent learning, such as technology dependence, privacy and data security, and algorithm bias. Finally, the article proposes enhancement strategies, including teaching mode innovation, learning strategy guidance and learning environment optimization. Through systematic review and empirical research, this article aims to provide scientific and effective support for the enhancement of college students' independent learning ability to meet the requirements of the informationization era.

Authors

Publication Details

Journal
Modern management science & engineering.
Published
2024-12-22
DOI
https://doi.org/10.22158/mmse.v6n3p269
Citations
1
Primary Topic
Educational Reforms and Innovations
Type
article
Field-Weighted Citation Impact
0.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Strategies for Improving College Students' Independent Learning Ability in the Context of Artificial Intelligence

Yan Long
1 citations
Modern management science & engineering.
Educational Reforms and Innovations
0.31
article

Research on Strategies for Improving College Students' Independent Learning Ability in the Context of Artificial Intelligence

Yan Long
article en
1 citations

Abstract

This paper discusses the role and strategies of artificial intelligence technology in enhancing the independent learning ability of college students. With the rapid development of artificial intelligence technology, the field of education is experiencing unprecedented changes, which presents new challenges and opportunities for the independent learning ability of college students. The article first analyzes the current status of the application of artificial intelligence in education, including personalized learning content push, adaptive learning path planning, etc., and points out the current problems faced, such as low technology integration and imperfect personalized services. Then, the article emphasizes the importance of enhancing the independent learning ability of college students, including personal development, social adaptation, moral responsibility and other aspects. The article also discusses the problems of artificial intelligence in college students' independent learning, such as technology dependence, privacy and data security, and algorithm bias. Finally, the article proposes enhancement strategies, including teaching mode innovation, learning strategy guidance and learning environment optimization. Through systematic review and empirical research, this article aims to provide scientific and effective support for the enhancement of college students' independent learning ability to meet the requirements of the informationization era.

Modern management science & engineering.Vol. 6(3)
Openalex Percentile: Top 35%
Educational Reforms and Innovations
0.31
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 Strategies for Improving College Students' Independent Learning Ability in the Context of Artificial Intelligence — Yan Long · Modern management science & engineering. (2024) | TGRS Research Map | TGRS