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Chen, Binglin; West, Matthew; Ziles, Craig – International Educational Data Mining Society, 2018
This paper attempts to quantify the accuracy limit of "nextitem-correct" prediction by using numerical optimization to estimate the student's probability of getting each question correct given a complete sequence of item responses. This optimization is performed without an explicit parameterized model of student behavior, but with the…
Descriptors: Accuracy, Probability, Student Behavior, Test Items
Wang, Ting; Li, Min; Thummaphan, Phonraphee; Ruiz-Primo, Maria Araceli – International Journal of Testing, 2017
Contextualized items have been widely used in science testing. Despite common use of item contexts, how the influence of a chosen context on the reliability and validity of the score inferences remains unclear. We focused on sequential cues of contextual information, referring to the order of events or descriptions presented in item contexts. We…
Descriptors: Science Tests, Cues, Difficulty Level, Test Items
Duncan, Ravit Golan; Choi, Jinnie; Castro-Faix, Moraima; Cavera, Veronica L. – Science & Education, 2017
Learning progressions (LPs) are hypothetical models of how learning in a domain develops over time with appropriate instruction. In the domain of genetics, there are two independently developed alternative LPs. The main difference between the two progressions hinges on their assumptions regarding the accessibility of classical (Mendelian) versus…
Descriptors: Genetics, Learning Processes, Sequential Learning, Sequential Approach