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A Comparison of Three Popular Source code Similarity Tools for Detecting Student Plagiarism.

, and . ACE, page 112-117. ACM, (2019)

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Early Identification of Novice Programmers' Challenges in Coding Using Machine Learning Techniques.. ICER, page 263-264. ACM, (2016)Exploring Machine Learning Methods to Automatically Identify Students in Need of Assistance., , , and . ICER, page 121-130. ACM, (2015)A Contingency Table Derived Method for Analyzing Course Data., , and . TOCE, 17 (3): 13:1-13:19 (2017)Data analytics and the novice programmer. University of Technology Sydney, Australia, (2018)Falling Behind Early and Staying Behind When Learning to Program., , and . PPIG, page 11. Psychology of Programming Interest Group, (2014)A Comparison of Three Popular Source code Similarity Tools for Detecting Student Plagiarism., and . ACE, page 112-117. ACM, (2019)A Bibliometrics Analysis of Australasian Computing Education Conference Proceedings., and . ACE, page 1-9. ACM, (2022)Mired in the Web: Vignettes from Charlotte and Other Novice Programmers., , and . ACE, volume 160 of CRPIT, page 165-174. Australian Computer Society, (2015)On the Number of Attempts Students Made on Some Online Programming Exercises During Semester and their Subsequent Performance on Final Exam Questions., , and . ITiCSE, page 218-223. ACM, (2016)Online Professional Learning in Response to COVID-19 - Towards Robust Evaluation., , , and . Future Internet, 13 (3): 56 (2021)