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Evaluating Neural Networks as a Method for Identifying Students in Need of Assistance.

, , и . SIGCSE, стр. 111-116. ACM, (2017)

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Shahram Ahadi

Abdu'l Ahad Ahadi

Turang Ahadi-Oskui

Nader Samadi Ahadi

Alireza Rahimi

 

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Early Identification of Novice Programmers' Challenges in Coding Using Machine Learning Techniques.. ICER, стр. 263-264. ACM, (2016)Exploring Machine Learning Methods to Automatically Identify Students in Need of Assistance., , , и . ICER, стр. 121-130. ACM, (2015)A Contingency Table Derived Method for Analyzing Course Data., , и . 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., , и . PPIG, стр. 11. Psychology of Programming Interest Group, (2014)A Comparison of Three Popular Source code Similarity Tools for Detecting Student Plagiarism., и . ACE, стр. 112-117. ACM, (2019)A Bibliometrics Analysis of Australasian Computing Education Conference Proceedings., и . ACE, стр. 1-9. ACM, (2022)Mired in the Web: Vignettes from Charlotte and Other Novice Programmers., , и . ACE, том 160 из CRPIT, стр. 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., , и . ITiCSE, стр. 218-223. ACM, (2016)Online Professional Learning in Response to COVID-19 - Towards Robust Evaluation., , , и . Future Internet, 13 (3): 56 (2021)