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A Sequential Bayesian Changepoint Detection Procedure for Aberrant Behaviors in Computerized Testing
Jing Lu; Chun Wang; Jiwei Zhang; Xue Wang – Grantee Submission, 2023
Changepoints are abrupt variations in a sequence of data in statistical inference. In educational and psychological assessments, it is pivotal to properly differentiate examinees' aberrant behaviors from solution behavior to ensure test reliability and validity. In this paper, we propose a sequential Bayesian changepoint detection algorithm to…
Descriptors: Bayesian Statistics, Behavior Patterns, Computer Assisted Testing, Accuracy
Lai, Song; Sun, Bo; Wu, Fati; Xiao, Rong – IEEE Transactions on Learning Technologies, 2020
Adaptive e-learning can be used to personalize learning environment for students to meet their individual demands. Individual differences depend on the students' personality traits. Numerous studies have indicated that understanding the role of personality in the learning process can facilitate learning. Hence, personality identification in…
Descriptors: Personality Traits, Electronic Learning, Individual Differences, Learning Processes
Sharafieva, Albina M.; Yarmakeev, Iskaner E.; Pimenova, Tatiana S.; Abdrafikova, Albina R.; Tregubova, Tatiana M. – International Journal of Higher Education, 2019
The article gives a brief review on how to improve students' speaking skills via modeling dialogues in FL class. This study can be considered the continuation of the research undertaken by the authors in 2018, in which the authors put forward the hypothesis that students' speaking skills improve provided their ability to match speech patterns to…
Descriptors: Second Language Learning, Second Language Instruction, Dialogs (Language), Teaching Methods