CARIA : A Personalized Career Recommender Based on Individual Competency Similarity Measure

被引:0
|
作者
Seesukong, Supaluck [1 ]
Angskun, Thara [1 ]
Keandoungchun, Nantapong [2 ]
Thippongtorn, Atitthan [3 ]
Angskun, Jitimon [1 ]
机构
[1] Suranaree Univ Technol, Inst Digital Arts & Sci, Nakhon Ratchasima, Thailand
[2] King Mongkuts Univ Technol, Sch Informat Technol, Thonburi, Thailand
[3] Suranaree Univ Technol Hosp, Chai Mongkhon, Thailand
关键词
Career Recommender; Digital Career; Individual Competency; Similarity Measures; STUDENTS; SYSTEM;
D O I
10.4018/IJICTE.356499
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The purpose of this research is to create a personalized system called CARIA that suggests career recommendations based on students' competencies and the required skills in each career. The focus of this study is on digital technology and digital media careers. The personalized career recommender system uses a novel similarity measure called modified Euclidean similarity to evaluate its performance and compare it with other similarity measures, machine learning, and GPT-4 techniques. The experimental results showed that modified Euclidean similarity achieved a precision@10 score of 0.83, which outperformed other techniques. The main objective of CARIA is to provide students with suitable career paths and conduct a competency gap analysis. This helps students choose a career path that fits their abilities. This research contributes to education in digital technology, digital media, and the workforce by providing employees with competencies that align with their needs.
引用
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页数:24
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