Career Interest

Research on career interest focuses on understanding and predicting individual career paths, leveraging both traditional psychometric assessments and increasingly sophisticated machine learning techniques. Current efforts involve applying natural language processing to analyze textual data like resumes and student profiles, alongside the development of predictive models using algorithms such as linear regression, support vector regression, and deep learning approaches. This work holds significant implications for improving career guidance systems, enhancing educational advising, and potentially mitigating biases in AI-driven career recommendations.