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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 14, ISSUE 7, JULY 2025

Support college major selection for high school students by using the Machine Learning algorithm

Seif ELduola F. El

DOI: 10.17148/IJARCCE.2025.14716

Abstract: Nowadays, choosing a specialization is a crucial decision for students, especially in determining their career path. Decision-making is an essential life skill that involves gathering information, generating alternatives, evaluating options, and reaching a decision. This research design for students at the final stage of secondary school to assist them in choosing their desired discipline of study. The research will use the Support Vector Machine (SVM) to examine the criteria for selecting university specialties that are best suited for each student's needs, interests, and strengths. It will also provide a chance for students to explore potential outcomes and opportunities associated with those specialties, helping them make informed decisions that will shape their future. Understanding the different steps in the decision-making process will help students make informed choices that will shape their future.

Keywords: Specialization, Students, Decision, University, Future, SVM.

How to Cite:

[1] Seif ELduola F. El, “Support college major selection for high school students by using the Machine Learning algorithm,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.14716