Design of Teaching and Learning Support Software Integrating Artificial Intelligence for High School Students

ABSTRACT: The remarkable progress of artificial intelligence (AI) is driving significant innovations in education, particularly in enhancing the effectiveness of teaching and learning at the high school level. In the era of digital transformation, the integration of AI in education facilitates personalized learning experiences and improves students' knowledge acquisition efficiency. However, traditional teaching methods exhibit several limitations, especially in providing individualized content and accurately monitoring learning progress. This study proposes a teaching and learning support system using AI technology with the aim of optimizing the learning process of high school students. The research synthesizes information to analyse existing smart educational systems and employs the system design approach to identify key functionalities. The suggested solution includes the functions such as learning content personalization, chatbot AI, automated grading, and learning progress tracking. The system operates on a web-based platform with flexible customization capability to cater to modern learning needs.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-17
DOI
https://doi.org/10.5281/zenodo.14882690
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
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article

Design of Teaching and Learning Support Software Integrating Artificial Intelligence for High School Students

Zenodo (CERN European Organization for Nuclear Research)
Technology-Enhanced Education Studies
article

Design of Teaching and Learning Support Software Integrating Artificial Intelligence for High School Students

article en

Abstract

ABSTRACT: The remarkable progress of artificial intelligence (AI) is driving significant innovations in education, particularly in enhancing the effectiveness of teaching and learning at the high school level. In the era of digital transformation, the integration of AI in education facilitates personalized learning experiences and improves students' knowledge acquisition efficiency. However, traditional teaching methods exhibit several limitations, especially in providing individualized content and accurately monitoring learning progress. This study proposes a teaching and learning support system using AI technology with the aim of optimizing the learning process of high school students. The research synthesizes information to analyse existing smart educational systems and employs the system design approach to identify key functionalities. The suggested solution includes the functions such as learning content personalization, chatbot AI, automated grading, and learning progress tracking. The system operates on a web-based platform with flexible customization capability to cater to modern learning needs.

Zenodo (CERN European Organization for Nuclear Research)
University of Da Nang (VN)
Quality Education
Openalex Percentile: Top 45%
Technology-Enhanced Education Studies
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