TITLE:
Evaluating Prospects in Programming with Features in Graphic Function Use
AUTHORS:
Tomoharu Kobayashi, Hiromitsu Shimakawa, Fumiko Harada
KEYWORDS:
Programming, Computational Thinking, Source Code, Figure Drawing, Feature Vector, PCA
JOURNAL NAME:
Creative Education,
Vol.14 No.10,
October
17,
2023
ABSTRACT: In this paper, we propose a quantitative evaluation method of students’
thinking in group learning. Thinking evaluation will become increasingly
important in programming education in Japan. However, it is impossible for
instructors to single-handedly evaluate their students’ thinking at the same
time. It is necessary to provide a quantitative evaluation method that can be
applied to a variety of educational situations in order to help instructors. We
define coding vectors based on students’ source code that will serve as an indicator of evaluation. Moreover, we judge
students’ prospects through a 3-step analysis with their coding vectors.
We analyzed coding vectors for 22 participants obtained through a task
experiment. We evaluated students’ thinking from three perspectives:
visualization, distance, and direction. As a result, all three ways had the
ability to grasp students’ thinking content. Coding vectors allow us to
comprehensively judge students’ coding steps and their prospects. In this
paper, we discuss the expressive power of coding vectors for coding content,
and task settings appropriate for them.