Mastery Learning in Computer Science Education
Author:
Affiliation:
1. University of Auckland, New Zealand
Publisher
ACM Press
Reference21 articles.
1. Willem-Paul Brinkman, Andrew Rae, and Yogesh Dwivedi. 2009. Computer-aided personalised system of instruction for teaching mathematics in an online learning environment. In Solutions and Innovations in Web-Based Technologies for Augmented Learning: Improved Platforms, Tools, and Applications. IGI Global, 271--299.
2. Dino Capovilla, Marc Berges, Andreas Mühling, and Peter Hubwieser. 2015. Handling heterogeneity in programming courses for freshmen. In Proceedings of the 2015 International Conference on Learning and Teaching in Computing and Engineering (LATICE '15). IEEE Computer Society, Washington, DC, USA, 197--203. DOI: http://dx.doi.org/10.1109/LaTiCE.2015.18
3. Albert T. Corbett. 2001. Cognitive computer tutors: solving the two-sigma problem. In Proceedings of the 8th International Conference on User Modeling 2001 (UM '01). Springer-Verlag, London, UK, UK, 137--147. http://dl.acm.org/citation.cfm?id=647664.733401
4. Albert T. Corbett and John R. Anderson. 1992. Student modeling and mastery learning in a computer-based programming tutor. In Proceedings of the Second International Conference on Intelligent Tutoring Systems (ITS '92). Springer-Verlag, London, UK, UK, 413--420. http://dl.acm.org/citation.cfm?id=648027.744678
5. Luiz Augusto de Macêdo Morais, Jorge CA Figueiredo, and Dalton DS Guerrero. 2014. Students satisfaction with mastery learning in an introductory programming course. In Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação-SBIE), Vol. 25. 1048. DOI: http://dx.doi.org/10.5753/cbie.sbie.2014.1048
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