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Rau, Martina A.; Pardos, Zachary A. – International Educational Data Mining Society, 2012
The goal of this paper is to use Knowledge Tracing to augment the results obtained from an experiment that investigated the effects of practice schedules using an intelligent tutoring system for fractions. Specifically, this experiment compared different practice schedules of multiple representations of fractions: representations were presented to…
Descriptors: Intelligent Tutoring Systems, Mathematics, Knowledge Level, Scheduling
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Salisbury, Christine; Cambray-Engstrom, Elizabeth; Woods, Juliann – Topics in Early Childhood Special Education, 2012
This case study examined the agreement between reported and actual use of coaching strategies based on home visit data collected on a diverse sample of providers and families. Paired videotape and contact note data of and from providers during home visits were collected over a six month period and analyzed using structured protocols. Results of…
Descriptors: Video Technology, Home Visits, Coaching (Performance), Educational Strategies
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Frederickx, Sofie; Tuerlinckx, Francis; De Boeck, Paul; Magis, David – Journal of Educational Measurement, 2010
In this paper we present a new methodology for detecting differential item functioning (DIF). We introduce a DIF model, called the random item mixture (RIM), that is based on a Rasch model with random item difficulties (besides the common random person abilities). In addition, a mixture model is assumed for the item difficulties such that the…
Descriptors: Test Bias, Models, Test Items, Difficulty Level
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de la Torre, Jimmy; Hong, Yuan; Deng, Weiling – Journal of Educational Measurement, 2010
To better understand the statistical properties of the deterministic inputs, noisy "and" gate cognitive diagnosis (DINA) model, the impact of several factors on the quality of the item parameter estimates and classification accuracy was investigated. Results of the simulation study indicate that the fully Bayes approach is most accurate when the…
Descriptors: Classification, Computation, Models, Simulation
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Holyoak, Keith J.; Lee, Hee Seung; Lu, Hongjing – Journal of Experimental Psychology: General, 2010
A fundamental issue for theories of human induction is to specify constraints on potential inferences. For inferences based on shared category membership, an analogy, and/or a relational schema, it appears that the basic goal of induction is to make accurate and goal-relevant inferences that are sensitive to uncertainty. People can use source…
Descriptors: Inferences, Logical Thinking, Bayesian Statistics, Causal Models
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Fitneva, Stanka A.; Dunfield, Kristen A. – Developmental Psychology, 2010
In 3 experiments, the authors examined whether a single act of testimony can inform children's subsequent information seeking. In Experiment 1, participants saw one informant give a correct and another informant give an incorrect answer to a question, assessed who was "right" ("wrong"), and decided to whom to address a 2nd question. Adults and…
Descriptors: Information Seeking, Experiments, Evaluation, Probability
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Kolen, Michael J.; Tong, Ye – Educational Measurement: Issues and Practice, 2010
Psychometric properties of item response theory proficiency estimates are considered in this paper. Proficiency estimators based on summed scores and pattern scores include non-Bayes maximum likelihood and test characteristic curve estimators and Bayesian estimators. The psychometric properties investigated include reliability, conditional…
Descriptors: Test Length, Psychometrics, Item Response Theory, Scores
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Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2013
Both testlet design and hierarchical latent traits are fairly common in educational and psychological measurements. This study aimed to develop a new class of higher order testlet response models that consider both local item dependence within testlets and a hierarchy of latent traits. Due to high dimensionality, the authors adopted the Bayesian…
Descriptors: Item Response Theory, Models, Bayesian Statistics, Computation
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Ting, Choo-Yee; Sam, Yok-Cheng; Wong, Chee-Onn – Computers & Education, 2013
Constructing a computational model of conceptual change for a computer-based scientific inquiry learning environment is difficult due to two challenges: (i) externalizing the variables of conceptual change and its related variables is difficult. In addition, defining the causal dependencies among the variables is also not trivial. Such difficulty…
Descriptors: Concept Formation, Bayesian Statistics, Inquiry, Science Instruction
Ampaabeng, Samuel Kofi – ProQuest LLC, 2013
This dissertation examines the determinants of student outcomes--achievement, attainment, occupational choices and earnings--in three different contexts. The first two chapters focus on Ghana while the final chapter focuses on the US state of Massachusetts. In the first chapter, I exploit the incidence of famine and malnutrition that resulted to…
Descriptors: Educational Attainment, Academic Achievement, Career Choice, Vocational Education
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Cook, Claire; Goodman, Noah D.; Schulz, Laura E. – Cognition, 2011
Probabilistic models of expected information gain require integrating prior knowledge about causal hypotheses with knowledge about possible actions that might generate data relevant to those hypotheses. Here we looked at whether preschoolers (mean: 54 months) recognize "action possibilities" (affordances) in the environment that allow them to…
Descriptors: Evidence, Play, Prior Learning, Hypothesis Testing
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Bowers, Jeffrey S.; Davis, Colin J. – Psychological Bulletin, 2012
According to Bayesian theories in psychology and neuroscience, minds and brains are (near) optimal in solving a wide range of tasks. We challenge this view and argue that more traditional, non-Bayesian approaches are more promising. We make 3 main arguments. First, we show that the empirical evidence for Bayesian theories in psychology is weak.…
Descriptors: Bayesian Statistics, Psychology, Brain, Theories
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Rademaker, Linnea L.; Grace, Elizabeth J.; Curda, Stephen K. – Qualitative Report, 2012
As diverse members of a college of education evaluation committee one of our charges is to support faculty as we document and improve our teaching. Our committee asked faculty to respond to three qualitative questions, documenting ways in which interdepartmental and cross-department conversations are used to promote reflective thinking about our…
Descriptors: Computer Assisted Testing, Data Analysis, Qualitative Research, Courseware
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Wu, Huey-Min; Kuo, Bor-Chen; Yang, Jinn-Min – Educational Technology & Society, 2012
In recent years, many computerized test systems have been developed for diagnosing students' learning profiles. Nevertheless, it remains a challenging issue to find an adaptive testing algorithm to both shorten testing time and precisely diagnose the knowledge status of students. In order to find a suitable algorithm, four adaptive testing…
Descriptors: Adaptive Testing, Test Items, Computer Assisted Testing, Mathematics
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Huang, Hung-Yu; Wang, Wen-Chung; Chen, Po-Hsi; Su, Chi-Ming – Applied Psychological Measurement, 2013
Many latent traits in the human sciences have a hierarchical structure. This study aimed to develop a new class of higher order item response theory models for hierarchical latent traits that are flexible in accommodating both dichotomous and polytomous items, to estimate both item and person parameters jointly, to allow users to specify…
Descriptors: Item Response Theory, Models, Vertical Organization, Bayesian Statistics
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