Policies are being promoted to realize Society 5.0, which is Japan's vision of the future society. As a part of AI education, there is a need to enhance programming education at the primary and secondary education levels. Many teaching materials for learning programming have been proposed. On the other hand, from the perspective of fostering student competency, it is important to use ICT to monitor their learning situation and provide them with individualized instruction and support. This paper explains a method for quantitatively evaluating the proficiency process of programming skills. First, the learning tasks of programming in technology education will be explained. Next, the method for obtaining the learning result data will be explained. Next, show the results of learning tasks that the students worked on. Finally, consider showing the results in a graph or trade-off curve to quantitatively evaluation the students' skill level.