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Development of CNN-Based Data Crawler to Support Learning Block Programmingopen access

Authors
Park, HuiJaeKim, JaMeeLee, WonGyu
Issue Date
7월-2022
Publisher
MDPI
Keywords
computer education; programming education; leaner classification; log collection; Scratch
Citation
MATHEMATICS, v.10, no.13
Indexed
SCIE
SCOPUS
Journal Title
MATHEMATICS
Volume
10
Number
13
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/143369
DOI
10.3390/math10132223
ISSN
2227-7390
Abstract
Along with the importance of digital literacy, the need for SW(Software) education is steadily emerging. Programming education in public education targets a variety of learners from elementary school to high school. This study was conducted for the purpose of judging the proficiency of low school-age learners in programming education. To achieve the goal, a tool to collect data on the entire programming learning process was developed, and a machine learning model was implemented to judge the proficiency of learners based on the collected data. As a result of determining the proficiency of 20 learners, the model developed through this study showed an average accuracy of approximately 75%. Through the development of programming-related data collection tools and programming proficiency judging models for low school-age learners, this study is meaningful in that it presents basic data for providing learner-tailored feedback.
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