Python Language Teaching Evaluation System Based on LLM large model

With the rapid development of information technology and artificial intelligence, programming education is very important. However, the traditional Python language teaching evaluation method has some problems, such as strong subjectivity and low efficiency, which is difficult to meet the current situation of contemporary programming education. In order to overcome the limitations of traditional teaching methods and comprehensively evaluate students 'programming ability, the system uses LLM model to analyze code, and combines with the Streamlit framework to build a user interface to achieve convenient interaction and feedback. The experimental results show that the system has high accuracy and reliability, which can effectively evaluate students 'programming level and provide support for personalized teaching. Then it can promote the development of programming education

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Publication Details

Journal
International Journal of Computer Science and Information Technology
Published
2024-09-13
DOI
https://doi.org/10.62051/ijcsit.v4n1.11
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
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article

Python Language Teaching Evaluation System Based on LLM large model

Hao‐Tian Yang
International Journal of Computer Science and Information Technology
Educational Technology and Assessment
article

Python Language Teaching Evaluation System Based on LLM large model

Hao‐Tian Yang
article en

Abstract

With the rapid development of information technology and artificial intelligence, programming education is very important. However, the traditional Python language teaching evaluation method has some problems, such as strong subjectivity and low efficiency, which is difficult to meet the current situation of contemporary programming education. In order to overcome the limitations of traditional teaching methods and comprehensively evaluate students 'programming ability, the system uses LLM model to analyze code, and combines with the Streamlit framework to build a user interface to achieve convenient interaction and feedback. The experimental results show that the system has high accuracy and reliability, which can effectively evaluate students 'programming level and provide support for personalized teaching. Then it can promote the development of programming education

International Journal of Computer Science and Information TechnologyVol. 4(1)
Hebei Normal University (CN)
Quality Education
Openalex Percentile: Top 76%
Educational Technology and Assessment
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