A Study on Impact of Junior High School Students’ Programming Learning Effect Based on Generative Artificial Intelligence

As artificial intelligence technology rapidly advances, its application in the field of education is becoming increasingly widespread. Generative artificial intelligence tools have become pervasively used in programming learning and they have a certain potential in the programming process. This study aims to explore the use of generative artificial intelligence tools to assist learning in junior high school programming learning and to assess their impact on students' learning outcomes. Through a quasi-experiment, this study analyzed the differences in programming learning outcomes between students using generative artificial intelligence tools and those using traditional learning methods. The results showed that the experimental group was better than control group in terms of IT knowledge comprehension, self-efficacy, and problem-solving ability. Therefore, the use of generative artificial intelligence tools could be helpful to improve the learning effect of students in programming learning.

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Publication Details

Published
2024-09-13
DOI
https://doi.org/10.1109/icet62460.2024.10869172
Citations
4
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
3.12
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article

A Study on Impact of Junior High School Students’ Programming Learning Effect Based on Generative Artificial Intelligence

Heng Zhang, Min Li
4 citations
Education and Learning Interventions
3.12
article

A Study on Impact of Junior High School Students’ Programming Learning Effect Based on Generative Artificial Intelligence

Heng Zhang, Min Li
article en
4 citations

Abstract

As artificial intelligence technology rapidly advances, its application in the field of education is becoming increasingly widespread. Generative artificial intelligence tools have become pervasively used in programming learning and they have a certain potential in the programming process. This study aims to explore the use of generative artificial intelligence tools to assist learning in junior high school programming learning and to assess their impact on students' learning outcomes. Through a quasi-experiment, this study analyzed the differences in programming learning outcomes between students using generative artificial intelligence tools and those using traditional learning methods. The results showed that the experimental group was better than control group in terms of IT knowledge comprehension, self-efficacy, and problem-solving ability. Therefore, the use of generative artificial intelligence tools could be helpful to improve the learning effect of students in programming learning.

South China Normal University (CN)
Quality Education
Openalex Percentile: Top 7%
Education and Learning Interventions
3.12
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