Predicting Teacher Professional Development Through AI-Based Analysis of Lesson Plan Quality in Primary School Settings

Abstract

The professional development of teachers is a cornerstone of educational quality, yet regional specificities in Central Asia often remain under-researched. This study aims to evaluate the pedagogical conditions, professional motivations, and structural barriers influencing the growth of educators in Kyrgyzstan. A large-scale quantitative and qualitative study was conducted with 3,274 educators. The research utilized a comprehensive survey covering demographic profiles, institutional training frequency, workload distribution, and a semantic analysis of open-ended responses regarding professional success. The findings reveal a significant gender imbalance, with 92% of the workforce being female, highlighting a deeply feminized professional identity. While 49.6% of teachers rely on regional methodological centers for qualification, there is a notable shift toward paid online platforms (18.4%), indicating a growing demand for digital flexibility. Semantic analysis suggests that while 65% of educators still prioritize formal institutional certification, a rising segment (35%) values self-directed learning and technological exchange. Furthermore, 74.3% of teachers maintain an optimal 18-hour weekly workload, suggesting an available "time resource" for continuous education. The study concludes that the regional educational environment is in a state of transition. Success is moving from a static institutional achievement to a continuous, hybrid model of competence building. To enhance pedagogical conditions, professional development frameworks must integrate the high internal motivation of teachers with flexible, digital, and gender-sensitive training models.