G. Nelson, B. Xie, and A. Ko. Proceedings of the 2017 ACM Conference on International Computing Education Research, ACM, (August 2017)Understand code before write code - tracing and examples first.
B. Ericson, L. Margulieux, and J. Rick. Proceedings of the 17th Koli Calling International Conference on Computing Education Research, page 20-29. ACM, (November 2017)
Y. Zhou, B. Gram-Hansen, T. Kohn, T. Rainforth, H. Yang, and F. Wood. (2019)cite arxiv:1903.02482Comment: Published in the proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS).
B. Ericson, J. Foley, and J. Rick. Proceedings of the 2018 ACM Conference on International Computing Education Research, page 60--68. New York, NY, USA, ACM, (2018)interesting set of ideas on how to adapt Parsons problems. Based on past research, which tells what making Parsons hard or easier (any distractors, unpaired distractors, etc) we can adapt difficulty of Parsons problem to students. Got a study in a class.
G. Nelson, B. Xie, and A. Ko. Proceedings of the 2017 ACM Conference on International Computing Education Research, page 2--11. New York, NY, USA, ACM, (2017)
R. Unanue, M. Velasco, C. Flores, J. Fuentes, and V. Iturbide. ITiCSE '02: Proceedings of the 7th annual conference on Innovation and technology in computer science education, 34, page 34--38. New York, NY, USA, ACM, (September 2002)