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Transfer of Object Category Knowledge across Visual and Haptic Modalities: Experimental and Computational Studies
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Yildirim, Ilker; Jacobs, Robert A. – Cognition, 2013
We study people's abilities to transfer object category knowledge across visual and haptic domains. If a person learns to categorize objects based on inputs from one sensory modality, can the person categorize these same objects when the objects are perceived through another modality? Can the person categorize novel objects from the same…
Descriptors: Novelty (Stimulus Dimension), Stimuli, Infants, Visual Stimuli
Rich Linguistic Structure from Large-Scale Web Data
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Yamangil, Elif – ProQuest LLC, 2013
The past two decades have shown an unexpected effectiveness of "Web-scale" data in natural language processing. Even the simplest models, when paired with unprecedented amounts of unstructured and unlabeled Web data, have been shown to outperform sophisticated ones. It has been argued that the effectiveness of Web-scale data has…
Descriptors: Models, Natural Language Processing, Computational Linguistics, Bayesian Statistics
Higher Order Testlet Response Models for Hierarchical Latent Traits and Testlet-Based Items
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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
Higher-Order Item Response Models for Hierarchical Latent Traits
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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
14 Conversations about Three Things
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Wainer, Howard – Journal of Educational and Behavioral Statistics, 2010
In this essay, the author tries to look forward into the 21st century to divine three things: (i) What skills will researchers in the future need to solve the most pressing problems? (ii) What are some of the most likely candidates to be those problems? and (iii) What are some current areas of research that seem mined out and should not distract…
Descriptors: Research Skills, Researchers, Internet, Access to Information
Evaluating Bayesian Networks' Precision for Detecting Students' Learning Styles
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Garcia, Patricio; Amandi, Analia; Schiaffino, Silvia; Campo, Marcelo – Computers & Education, 2007
Students are characterized by different learning styles, focusing on different types of information and processing this information in different ways. One of the desirable characteristics of a Web-based education system is that all the students can learn despite their different learning styles. To achieve this goal we have to detect how students…
Descriptors: Student Behavior, Internet, Web Based Instruction, Artificial Intelligence