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Zehner, Fabian; Harrison, Scott; Eichmann, Beate; Deribo, Tobias; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – International Educational Data Mining Society, 2020
The "2nd Annual WPI-UMASS-UPENN EDM Data Mining Challenge" required contestants to predict efficient testtaking based on log data. In this paper, we describe our theory-driven and psychometric modeling approach. For feature engineering, we employed the Log-Normal Response Time Model for estimating latent person speed, and the Generalized…
Descriptors: Data Analysis, Competition, Classification, Prediction
Wang, Shudong; Jiao, Hong – Online Submission, 2011
For decades, researchers and practitioners have made a great deal of effort to study a variety of methods to increase parameter accuracy, but only recently can researchers start focusing on improving parameter estimations by using a joint model that could incorporate RT and students information as CI. Given that many tests are currently…
Descriptors: Reaction Time, Item Response Theory, Computer Assisted Testing, Computation
Lucas, Leslie A.; Tuscher, Leroy J. – 1993
This study investigated whether the visual forms of buttons influenced learning and satisfaction when early adolescent students were asked to perform tasks using computer-assisted instruction (CAI). Ninety subjects participated. Three visual forms were designed for buttons located in a CAI application. One contained pictures for commands, the…
Descriptors: Adolescents, Comparative Analysis, Computer Assisted Instruction, Computer Graphics