Empowering Student Futures: An AI-driven Approach to Give Personalized Major/Career Recommendations for High School Students

In today's international education, students face great challenges and uncertainties in making career choices. Many struggle to find clear career paths or set long-term goals. Even after choosing a major or a career, many students feel dissatisfied. This leads to frequent changes in their academic and career plans. These changes can cause serious problems and disrupt their future plans. Schools try to help students choose the right academic paths, but the growing demand for education makes it difficult for teachers to provide individualized guidance to each student. In addition, most teachers do not have a complete understanding of students' academic profiles and potential. To solve this problem and help international high school students find the right career paths, advanced technology is needed. These tools can analyze students' academic information and provide fast, personalized advice. This study examines how deep learning neural networks can help students find appropriate careers. By using these algorithms, we aim to create a system that processes student data and provides tailored recommendations, making academic and career choices easier for students.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1145/3726010.3726025
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Empowering Student Futures: An AI-driven Approach to Give Personalized Major/Career Recommendations for High School Students

B. Zhang, Muyuan Liu, Xin Luo, Yueyan Dang
Online Learning and Analytics
article

Empowering Student Futures: An AI-driven Approach to Give Personalized Major/Career Recommendations for High School Students

B. Zhang, Muyuan Liu, Xin Luo, Yueyan Dang
article en

Abstract

In today's international education, students face great challenges and uncertainties in making career choices. Many struggle to find clear career paths or set long-term goals. Even after choosing a major or a career, many students feel dissatisfied. This leads to frequent changes in their academic and career plans. These changes can cause serious problems and disrupt their future plans. Schools try to help students choose the right academic paths, but the growing demand for education makes it difficult for teachers to provide individualized guidance to each student. In addition, most teachers do not have a complete understanding of students' academic profiles and potential. To solve this problem and help international high school students find the right career paths, advanced technology is needed. These tools can analyze students' academic information and provide fast, personalized advice. This study examines how deep learning neural networks can help students find appropriate careers. By using these algorithms, we aim to create a system that processes student data and provides tailored recommendations, making academic and career choices easier for students.

Chinese Academy of Sciences (CN), Institute of Computing Technology (CN), Zhejiang University (CN)
Openalex Percentile: Top 68%
Online Learning and Analytics
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