Utilising behavioural analytics in a blended programming learning environment
Author:
Affiliation:
1. School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA
Publisher
Informa UK Limited
Subject
Computer Science Applications,Media Technology,Information Systems
Link
https://www.tandfonline.com/doi/pdf/10.1080/13614568.2019.1695961
Reference39 articles.
1. Altadmri, A. & Brown, N. C. (2015). 37 million compilations: Investigating novice programming mistakes in large-scale student data. In Proceedings of the 46th ACM technical symposium on computer science education (pp. 522–527). ACM.
2. Bergin, S. & Reilly, R. (2005). The influence of motivation and comfort-level on learning to program.
3. Bloomfield, A. & Groves, J. F. (2008). A tablet-based paper exam grading system. In ACM SIGCSE bulletin (Vol. 40, pp. 83–87). ACM.
4. Buffardi, K. & Edwards, S. H. (2013). Effective and ineffective software testing behaviors by novice programmers. In Proceedings of the ninth annual international ACM conference on international computing education research (pp. 83–90). ACM.
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