Collaborative Learning in Programming Education with the Programmed Visual Contents Comparison Method
Thanh Ha Nguyen, Hidenari Kiyomitsu, Yi Ming Sun, Takeshi Nishida, Kazuhiro Ohtsuki · 2024
This paper discusses the effectiveness of the Programmed Visual Contents Comparison Method (PVCC) for collaborative learning in computer programming education. Building upon our previous study, we proposed PVCC to assess panoramic understanding of programming and developed a testing system based on this method. Our results confirmed the PVCC method's ability to identify programming abilities related to panoramic understanding of programming. To evaluate the effectiveness of PVCC for collaborative learning, we conducted an experiment with a group of students at a graduate school. The inclusion of students contributed to a creative learning environment, where new ideas emerged during problem-solving activities. Our findings demonstrate that collaborative learning using the PVCC method is beneficial for students in the process of learning programming.