Analytical Model for Developing Educational Programs Considering Kazakh IT Labour Demands and Student Performance Prediction

This study proposes a method for developing IT education programs by integrating job market analysis with student performance prediction. Open-source tools collected and analyzed job postings from major Kazakh employment platforms, identifying in-demand skill and knowledge sets using fine-tuned a specialized LLM, that outperforms existing SOTA techniques. Predictive models assessed student performance to align curricula with both industry needs and learner capabilities. Based on this dual analysis, an educational program was designed for university students specializing in software development and system administration. By aligning coursework with labor market demands, the program enhances graduate employability and fosters career readiness in Kazakhstan’s evolving tech sector.