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De Los Reyes, Andres; Makol, Bridget A. – Grantee Submission, 2021
Individuals often vary in how they display signs and symptoms of personality disturbances and psychopathology. As such, comprehensive assessments of these signs and symptoms ought to capture how they manifest within and across time and contexts (e.g., community, home, work). Contexts may vary in the degree to which they influence personality and…
Descriptors: Personality, Psychopathology, Individual Differences, Adults
Butterfuss, Reese; Kim, Jasmine; Kendeou, Panayiota – Grantee Submission, 2020
The aim of this article is twofold. First, it provides a general overview of reading compre­hension by outlining classic models of single-text comprehension and more recent models of multiple-text comprehension and sourcing during reading comprehension. Second, the article highlights important sources of individual differences in reading…
Descriptors: Reading Comprehension, Models, Information Sources, Individual Differences
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Pavlik, Philip I., Jr.; Eglington, Luke G.; Harrell-Williams, Leigh M. – Grantee Submission, 2021
Adaptive learning technology solutions often use a learner model to trace learning and make pedagogical decisions. The present research introduces a formalized methodology for specifying learner models, logistic knowledge tracing (LKT), that consolidates many extant learner modeling methods. The strength of LKT is the specification of a symbolic…
Descriptors: Technology Uses in Education, Educational Technology, Models, Computer Assisted Instruction
Rhodes, Katherine T.; Lukowski, Sarah; Branum-Martin, Lee; Opfer, John; Geary, David C.; Petrill, Stephen A. – Grantee Submission, 2018
The strategy choice model (SCM) is a highly influential theory of human problem-solving. One strength of this theory is the allowance for both item and person variance to contribute to problem-solving outcomes, but this central tenet of the model has not been empirically tested. Explanatory item response theory (EIRT) provides an ideal approach to…
Descriptors: Learning Strategies, Addition, Problem Solving, Item Response Theory
Michael J. Tumminia; Blake A. Colaianne; Brian M. Galla; Robert W. Roeser – Grantee Submission, 2020
Research shows greater mindfulness is associated with less negative affect and more positive affect. Fewer studies have examined the mediating psychological processes linking mindfulness to these outcomes in adolescents. This three-wave, prospective longitudinal study examines rumination--the tendency to engage in repetitive and negative…
Descriptors: Metacognition, Questionnaires, Psychological Patterns, Negative Attitudes
Alibali, Martha W.; Brown, Sarah A.; Menendez, David – Grantee Submission, 2019
Learning, development, and response to instruction often involve changes in the strategies that learners use to solve problems. In this chapter, our focus is on mathematical problem solving in both children and adults. We offer a selective review of research on three classes of factors that may influence processes of strategy change in…
Descriptors: Learning Strategies, Problem Solving, Mathematics Skills, Mathematics Instruction
Higgs, Karyn; Magliano, Joseph P.; Vidal-Abarca, Eduardo; Martínez, Tomas; McNamara, Danielle S. – Grantee Submission, 2015
Some individual difference factors are more strongly correlated with performance on postreading questions when the text is not available than when it is. The present study explores if similar interactions occur with bridging skill, which refers to a reader's propensity to establish connections between explicit text during reading. Undergraduates…
Descriptors: Correlation, Individual Differences, Undergraduate Students, Reading Processes
Cho, Sun-Joo; Cohen, Allan S.; Bottge, Brian – Grantee Submission, 2013
A multilevel latent transition analysis (LTA) with a mixture IRT measurement model (MixIRTM) is described for investigating the effectiveness of an intervention. The addition of a MixIRTM to the multilevel LTA permits consideration of both potential heterogeneity in students' response to instructional intervention as well as a methodology for…
Descriptors: Intervention, Item Response Theory, Statistical Analysis, Models