posted on 2022-05-16, 13:26authored byAna Calderon, Tom Crick, Catherine Tryfona
This paper presents the results of a preliminary investigation into how the teaching of computational thinking -- particularly algorithmic thinking and programming -- to university undergraduate students varies depending on aptitude and perceived enjoyment of STEM subjects during their secondary-level (pre-university) education. We investigated a specific component of computational thinking, algorithmic thinking, comparing against a student's ability to develop knowledge and understanding of introductory programming
History
Presented at
Conference Proceedings of International Conference on Computational Thinking Education 2017
Conference Proceedings of International Conference on Computational Thinking Education 2017
Publisher
The Education University of Hong Kong
Version
VoR (Version of Record)
Citation
Calderon, A., Catherine, T. and Crick, T.(2017) 'An investigation into susceptibility to learn computational thinking in post-compulsory education', In Kong, S. C., Sheldon, J., & Li, K. Y. (Eds.) Conference Proceedings of International Conference on Computational Thinking Education 2017. Hong Kong: The Education University of Hong Kong, pp. 6-9