This research aimed (1) to evaluate a project-based learning model for enhancing computational science teaching skills of master teachers in Prachuap Khiri Khan Province, and (2) to assess the validity of a structured interview form designed to evaluate these teachers' computational science teaching skills. The target group consisted of five experts selected through purposive sampling, including specialists in instructional management, educational measurement and evaluation, and computational science. The research instruments comprised (a) a conceptual framework of the project-based learning model for promoting computational science teaching skills among master teachers, and (b) a structured interview form for assessing computational science teaching skills. Data were analyzed using percentage, mean, and standard deviation. The results revealed that: (1) The project-based learning model for enhancing computational science teaching skills of master teachers was rated as highly appropriate (M = 4.84, S.D. = 0.29); and (2) All items in the structured interview form obtained an Index of Item-Objective Congruence (IOC) value of 1.00, which exceeded the minimum criterion of 0.50. This indicates that the developed interview form was consistent with the research objectives and suitable for data collection.