Plagiarism Deterrence in CS1 Through Keystroke Data

Author:

Hart Kaden1ORCID,Mano Chad1ORCID,Edwards John1ORCID

Affiliation:

1. Utah State University, Logan, UT, USA

Publisher

ACM

Reference23 articles.

1. On the Number of Attempts Students Made on Some Online Programming Exercises During Semester and their Subsequent Performance on Final Exam Questions

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

3. Mousumi Banerjee , Michelle Capozzoli , Laura McSweeney , and Debajyoti Sinha . 1999. Beyond kappa: A review of interrater agreement measures. Canadian journal of statistics , Vol. 27 , 1 ( 1999 ), 3--23. Mousumi Banerjee, Michelle Capozzoli, Laura McSweeney, and Debajyoti Sinha. 1999. Beyond kappa: A review of interrater agreement measures. Canadian journal of statistics, Vol. 27, 1 (1999), 3--23.

4. A New Metric to Quantify Repeated Compiler Errors for Novice Programmers

5. Perceptions of the prevalence and seriousness of academic dishonesty in Australian universities

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1. Seeking Consent for Programming Process Data Collection with Trustee-Based Encryption;Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1;2024-08-12

2. Revisiting Plagiarism Deterrence in CS1 Through Keystroke Data;2024 Intermountain Engineering, Technology and Computing (IETC);2024-05-13

3. Plagiarism Detection Tool Based on Programming Activity Logs;2024 IEEE Global Engineering Education Conference (EDUCON);2024-05-08

4. "I Didn't Know": Examining Student Understanding of Academic Dishonesty in Computer Science;Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1;2024-03-07

5. Taxonomy of Mathematical Plagiarism;Lecture Notes in Computer Science;2024

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