Analysis of Learning-Data for Feedback System in Programming Classrooms

Abstract

The learning for children the age With/Post COVID-19 requires ICT-based learning activities. In many countries around the world, computer science education, including programming, is flourishing for children. On the other hand, face-to-face activities have a positive impact on children's independence, however, many activities were restricted. The authors have been studying the development of children's independence, especially, classifying and defining skills required to promote self-directed learning, and developing a learning support system for children. In previous work, a learning-data collection system that collects data regarding the developmental stages and learning activities of children and a feedback system for walk adventure one of the community activities has been developed. However, the feedback system should be revised based on the type of learning activity. In this paper, the authors analyze learning-data collected from students for the design of a feedback system for programming classrooms. Concretely, in the programming classroom, in addition to multiple-choice responses, descriptive responses such as goals and teacher's reflection notes are also recorded. The requirements for the feedback system have been considered based on the calculation of correlation coefficients among the answered choices, and the calculation of word importance based on morphological analysis of the descriptive responses.