Abstract:
AI systems can support students in making career decisions (Göksu & Meydan, 2015; Pandya & Wang, 2024). This study aims to develop and validate an AI-based career decision support system for senior high school students, offering more effective and personalized career recommendations. The system will utilize AI algorithms to capture relevant data, deliver accurate advice, and support personal discovery activities and tailored career guidance.
Validation will use a two-group, mixed-methods experimental design. The control group will undertake job quizzes and personality assessments, while the experimental group will complete self-discovery activities in the AI system to receive personalized recommendations. We hypothesize that participants using the AI-based system will benefit more than those using traditional tools. A mixed-method approach, employing both quantitative (surveys) and qualitative (interviews) data, will compare the effectiveness of the AI system against traditional methods. The comparison will focus on recommendation quality, perceived value, and system usability. Overall, this project aims to develop a user-friendly and accessible career support tool that helps high school students achieve better career outcomes.
Göksu, A., & Meydan, A. (2015). The use of Artificial Intelligence in vocational guidance. British Journal of Education, Society & Behavioural Science, 6, 95–107.
Pandya, S. S., & Wang, J. (2024). Artificial intelligence in career development: a scoping review. Human Resource Development International, 27(3), 324-344.
Validation will use a two-group, mixed-methods experimental design. The control group will undertake job quizzes and personality assessments, while the experimental group will complete self-discovery activities in the AI system to receive personalized recommendations. We hypothesize that participants using the AI-based system will benefit more than those using traditional tools. A mixed-method approach, employing both quantitative (surveys) and qualitative (interviews) data, will compare the effectiveness of the AI system against traditional methods. The comparison will focus on recommendation quality, perceived value, and system usability. Overall, this project aims to develop a user-friendly and accessible career support tool that helps high school students achieve better career outcomes.
Göksu, A., & Meydan, A. (2015). The use of Artificial Intelligence in vocational guidance. British Journal of Education, Society & Behavioural Science, 6, 95–107.
Pandya, S. S., & Wang, J. (2024). Artificial intelligence in career development: a scoping review. Human Resource Development International, 27(3), 324-344.