Development of CNN-Based Data Crawler to Support Learning Block Programmingopen access
- Authors
- Park, HuiJae; Kim, JaMee; Lee, 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - Graduate School of Education > Computer Science Education > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholar.korea.ac.kr/handle/2021.sw.korea/143369)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.