Assessing the Effectiveness of Emoticon-Like Scripting in Computer Programming
by Barmpoutis, Angelos | Huynh, Kim | Ariet, Peter | Saunders, Nick
In Advances in Intelligent Systems and Computing 598 (Springer), Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, T. Ahram and W. Karwowski (eds.), 9-14 July, 2017, pp. 63-75. https://doi.org/10.1007/978-3-319-60011-6_7
In Advances in Intelligent Systems and Computing 598 (Springer), Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, T. Ahram and W. Karwowski (eds.), 9-14 July, 2017, pp. 63-75. https://doi.org/10.1007/978-3-319-60011-6_7
Description
In this paper a new method is proposed for learning computer programming. This method utilizes a set of human-readable graphemes and tokens that interactively replace the grammatical tokens of programming languages, using a concept similar to emoticons in social media. The theoretical framework of the proposed method is discussed in detail and two implementations are presented for the programming language ECMAScript (JavaScript). The results from user testing with undergraduate students show that the proposed technique improves the student’s learning outcomes in terms of syntax recall and logic comprehension, in comparison to traditional source code editors.
Additional information
| Author | Barmpoutis, Angelos, Huynh, Kim, Ariet, Peter, Saunders, Nick |
|---|---|
| Journal | In Advances in Intelligent Systems and Computing 598 (Springer), Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, T. Ahram and W. Karwowski (eds.) |
| DOI | |
| Year | 2017 |
| Pages | 63-75 |
| Month | 9-14 July |
Citation
Citation
Barmpoutis, A., Huynh, K., Ariet, P. and Saunders, N., 2017. Assessing the Effectiveness of Emoticon-Like Scripting in Computer Programming. In Advances in Intelligent Systems and Computing 598 (Springer), Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, T. Ahram and W. Karwowski (eds.), pp. 63-75. https://doi.org/10.1007/978-3-319-60011-6_7
BibTex
@article{digitalWorlds:87,
doi = {https://doi.org/10.1007/978-3-319-60011-6_7},
author = {Barmpoutis, Angelos and Huynh, Kim and Ariet, Peter and Saunders, Nick},
title = {Assessing the Effectiveness of Emoticon-Like Scripting in Computer Programming},
journal = {In Advances in Intelligent Systems and Computing 598 (Springer), Proceedings of the AHFE 2017 International Conference on Human Factors, Software, and Systems Engineering, T. Ahram and W. Karwowski (eds.)},
month = {9-14 July},
year = {2017},
pages = {63-75}
} 
