five

Extended dataset for the validation the competent Computational Thinking test in grades 3-6

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/7983524
下载链接
链接失效反馈
官方服务:
资源简介:
Extended dataset for the validation the competent Computational Thinking test in grades 3-6 ======================================================= • If you publish material based on this dataset, please cite the following :     • The Zenodo repository : Laila El-Hamamsy, Barbara Bruno, Jessica Dehler Zufferey, & Francesco Mondada (2023). Extended dataset for the validation of the competent Computational Thinking test in grades 3-6 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7983525      • The article on the validation of the computational thinking test for grades 3-6 : El-Hamamsy, L., Zapata-Cáceres, M., Martín-Barroso, E., Mondada, F., Dehler Zufferey, J., Bruno, B., and Román-González, M. (2023). The competent computational thinking test (cCTt): a valid, reliable and gender-fair test for longitudinal CT studies in grades 3-6.  El-Hamamsy, L., Zapata-Cáceres, M., Martín-Barroso, E., Mondada, F., Zufferey, J. D., Bruno, B., & Román-González, M. arXiv. https://doi.org/10.48550/arXiv.2305.19526  • License : This work is licensed under a Creative Commons Attribution 4.0 International license (CC-BY-4.0) • Creators : El-Hamamsy, L., Bruno, B., Dehler Zufferey, J., and Mondada, F. • Date May 30th 2023 • Subject : Computational Thinking (CT), Assessment, Primary education, Psychometric validation • Dataset format : CSV. The dataset contains four files (one per grade, see detailed description below). Please note that the spreadsheets may contain missing values due to students not being present for a part of the data collection. To have access to the specific cCTt questions please refer to the original publication [1] and Zenodo repository [2] which provide the full set of questions and correct responses. • Dataset size < 500 kB • Data collection period : January and November 2021 • Abbreviations :   - CT : Computational Thinking   - cCTt: competent CT test • Funding : This work was funded by the the NCCR Robotics, a National Centre of Competence in Research, funded by the Swiss National Science Foundation (grant number 51NF40_185543) # References [1] El-Hamamsy, L., Zapata-Cáceres, M., Barroso, E. M., Mondada, F., Zufferey, J. D., & Bruno, B. (2022). The Competent Computational Thinking Test: Development and Validation of an Unplugged Computational Thinking Test for Upper Primary School. Journal of Educational Computing Research, 60(7), 1818–1866. https://doi.org/10.1177/07356331221081753  [2] El-Hamamsy, L., Zapata-Cáceres, M., Marcelino, P.,  Dehler Zufferey, J., Bruno, B., Martín Barroso, E., & ‪Román-González, M.‬ (2022). Dataset for the comparison of two Computational Thinking (CT) test for upper primary school (grades 3-4) : the Beginners' CT test (BCTt) and the competent CT test (cCTt) (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5885034 ‬‬‬‬‬‬‬‬‬‬‬ [3] El-Hamamsy, L., Zapata-Cáceres, M., Martín-Barroso, E., Mondada, F., Dehler Zufferey, J., Bruno, B., and Román-González, M. (2023). The competent computational thinking test (cCTt): a valid, reliable and gender-fair test for longitudinal CT studies in grades 3-6.  El-Hamamsy, L., Zapata-Cáceres, M., Martín-Barroso, E., Mondada, F., Zufferey, J. D., Bruno, B., & Román-González, M. arXiv. https://doi.org/10.48550/arXiv.2305.19526  [4] Brennan, K. and Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. page 25 [5] El-Hamamsy, L., Zapata-Cáceres, M., Marcelino, P., Bruno, B., Dehler Zufferey, J., Martín-Barroso, E., & Román-González, M. (2022). Comparing the psychometric properties of two primary school Computational Thinking (CT) assessments for grades 3 and 4: The Beginners’ CT test (BCTt) and the competent CT test (cCTt). Frontiers in Psychology, 13. https://www.frontiersin.org/articles/10.3389/fpsyg.2022.1082659
创建时间:
2024-12-31
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作