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An Ensemble Learning Approach Based on TabNet and Machine Learning Models for Cheating Detection in Educational Tests
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Yang Zhen; Xiaoyan Zhu – Educational and Psychological Measurement, 2024
The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…
Descriptors: Artificial Intelligence, Models, Cheating, Identification
Studying the Equivalence of Computer-Delivered and Paper-Based Administrations of the Raven Standard Progressive Matrices Test
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Arce-Ferrer, Alvaro J.; Guzman, Elvira Martinez – Educational and Psychological Measurement, 2009
This study investigates the effect of mode of administration of the Raven Standard Progressive Matrices test on distribution, accuracy, and meaning of raw scores. A random sample of high school students take counterbalanced paper-and-pencil and computer-based administrations of the test and answer a questionnaire surveying preferences for…
Descriptors: Factor Analysis, Raw Scores, Statistical Analysis, Computer Assisted Testing
Correlation of Quarterly Profile Examination and National Board of Medical Examiner Scores
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Willoughby, T. Lee; And Others – Educational and Psychological Measurement, 1977
The concurrent validity of a computer assisted test construction system designed to measure information in the medical sciences was assessed. Results support the usefulness of the system. (Author/JKS)
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Formative Evaluation, Higher Education