Anomaly Detection in Student Activity in Solving Unique Programming Exercises: Motivated Students against Suspicious Ones

This article presents a dataset containing messages from the Digital Teaching Assistant (DTA) system, which records the results from the automatic verification of students’ solutions to unique programming exercises of 11 various types. These results are automatically generated by the system, which a...

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Veröffentlicht in:	Data (Basel) Jg. 8; H. 8; S. 129
Hauptverfasser:	Demidova, Liliya A., Sovietov, Peter N., Andrianova, Elena G., Demidova, Anna A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.08.2023
Schlagworte:	Academic achievement Algorithms Anomalies anomalies detection Certification Cluster analysis Clustering Colleges & universities Computer programming Datasets Differential thermal analysis Digital Teaching Assistant Higher education Learning Markov analysis Markov chains Plagiarism Programming languages Python Regression models Software Source code Student behavior Students tasks Teaching assistants Tests, problems and exercises typical students unique programming exercises Uniqueness United States
ISSN:	2306-5729, 2306-5729
Online-Zugang:	Volltext
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