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Showing 1 to 15 of 44 results Save | Export
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Jinnie Shin; Bowen Wang; Wallace N. Pinto Junior; Mark J. Gierl – Large-scale Assessments in Education, 2024
The benefits of incorporating process information in a large-scale assessment with the complex micro-level evidence from the examinees (i.e., process log data) are well documented in the research across large-scale assessments and learning analytics. This study introduces a deep-learning-based approach to predictive modeling of the examinee's…
Descriptors: Prediction, Models, Problem Solving, Performance
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Xiong, Jiawei; Li, Feiming – Educational Measurement: Issues and Practice, 2023
Multidimensional scoring evaluates each constructed-response answer from more than one rating dimension and/or trait such as lexicon, organization, and supporting ideas instead of only one holistic score, to help students distinguish between various dimensions of writing quality. In this work, we present a bilevel learning model for combining two…
Descriptors: Scoring, Models, Task Analysis, Learning Processes
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Ovando-Tellez, Marcela; Kenett, Yoed N.; Benedek, Mathias; Bernard, Matthieu; Belo, Joan; Beranger, Benoit; Bieth, Theophile; Volle, Emmanuelle – Creativity Research Journal, 2023
Associative thinking plays a major role in creativity, as it involves the ability to link distant concepts. Yet, the neural mechanisms allowing to combine distant associates in creative thinking tasks remain poorly understood. We investigated the whole-brain functional connectivity patterns related to combining remote associations for creative…
Descriptors: Brain, Associative Learning, Cognitive Processes, Creative Thinking
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Suh, Jihyun; Bugg, Julie M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Existing approaches in the literature on cognitive control in conflict tasks almost exclusively target the outcome of control (by comparing mean congruency effects) and not the processes that shape control. These approaches are limited in addressing a current theoretical issue--what contribution does learning make to adjustments in cognitive…
Descriptors: Cognitive Processes, Comparative Analysis, Conflict, Learning Processes
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van Wermeskerken, Margot; Grimmius, Bianca; van Gog, Tamara – Journal of Computer Assisted Learning, 2018
We investigated the effects of seeing the instructor's (i.e., the model's) face in video modeling examples on students' attention and their learning outcomes. Research with university students suggested that the model's face attracts students' attention away from what the model is doing, but this did not hamper learning. We aimed to investigate…
Descriptors: Video Technology, Autism, Pervasive Developmental Disorders, Outcomes of Education
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Wang, Jin; Tang, Huijun; Deng, Yuan – Journal of Psycholinguistic Research, 2016
The automaticity level and attention priority/strategy are two major theories that have attempted to explain the mechanism underlying the Stroop effect. Training is an effective way to manipulate the experience with the two dimensions (ink color and color word) in the Stroop task. In order to distinguish the above two factors (the automaticity or…
Descriptors: Attention, Color, Learning Processes, Models
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Jarosz, Andrew F.; Wiley, Jennifer – Intelligence, 2012
Current theories concerning individual differences in working memory capacity (WMC) suggest that WMC reflects the ability to control the focus of attention and resist interference and distraction. The current set of experiments tested whether susceptibility to distraction is partially responsible for the established relationship between…
Descriptors: Short Term Memory, Individual Differences, Correlation, Task Analysis
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Shtyrov, Yury; Smith, Marie L.; Horner, Aidan J.; Henson, Richard; Nathan, Pradeep J.; Bullmore, Edward T.; Pulvermuller, Friedemann – Neuropsychologia, 2012
Previous research indicates that, under explicit instructions to listen to spoken stimuli or in speech-oriented behavioural tasks, the brain's responses to senseless pseudowords are larger than those to meaningful words; the reverse is true in non-attended conditions. These differential responses could be used as a tool to trace linguistic…
Descriptors: Comprehension, Language Processing, Brain, Sleep
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Le Pelley, Mike E.; Vadillo, Miguel; Luque, David – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Attentional theories of associative learning and categorization propose that learning about the predictiveness of a stimulus influences the amount of attention that is paid to that stimulus. Three experiments tested this idea by looking at the extent to which stimuli that had previously been experienced as predictive or nonpredictive in a…
Descriptors: Task Analysis, Classification, Cues, Prediction
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Porretta, Vincent J.; Tucker, Benjamin V. – Second Language Research, 2015
The present investigation examines English speakers' ability to identify and discriminate non-native consonant length contrast. Three groups (L1 English No-Instruction, L1 English Instruction, and L1 Finnish control) performed a speeded forced-choice identification task and a speeded AX discrimination task on Finnish non-words (e.g.…
Descriptors: Role, Attention, Phonetics, Language Processing
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Goschke, Thomas; Bolte, Annette – Cognitive Psychology, 2012
Learning sequential structures is of fundamental importance for a wide variety of human skills. While it has long been debated whether implicit sequence learning is perceptual or response-based, here we propose an alternative framework that cuts across this dichotomy and assumes that sequence learning rests on associative changes that can occur…
Descriptors: Reading Difficulties, Reaction Time, Tests, Models
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Brooks, David W. – Journal of Science Education and Technology, 2011
An overarching theory that enables a systematic study of learning recently has been developed. Motivation, for example, is something we all think "we know when we see". It was an important step to recognize that motivation can be conceptualized in terms of allocating working memory and especially attention to a learning task. The unified learning…
Descriptors: Motivation, Short Term Memory, Learning, Theories
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Cabeza, Roberto; Mazuz, Yonatan S.; Stokes, Jared; Kragel, James E.; Woldorff, Marty G.; Ciaramelli, Elisa; Olson, Ingrid R.; Moscovitch, Morris – Journal of Cognitive Neuroscience, 2011
The specific role of different parietal regions to episodic retrieval is a topic of intense debate. According to the Attention to Memory (AtoM) model, dorsal parietal cortex (DPC) mediates top-down attention processes guided by retrieval goals, whereas ventral parietal cortex (VPC) mediates bottom-up attention processes captured by the retrieval…
Descriptors: Evidence, Memory, Brain Hemisphere Functions, Perception
Novella-Gomez, Miguel Angel – ProQuest LLC, 2012
While attentional models of SLA postulate attention as crucial for learning to take place (e.g., Robinson, 1995b; Schmidt, 1990, 2001; Tomlin & Villa, 1994), the role that awareness or lack thereof plays remains debatable. Indeed, the studies that have empirically addressed the construct of unawareness reveal conflicting results (e.g.,…
Descriptors: Models, Attention, Second Language Learning, Cognitive Processes
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Cheyne, James Allan; Carriere, Jonathan S. A.; Solman, Grayden J. F.; Smilek, Daniel – Cognition, 2011
Attention lapses resulting from reactivity to task challenges and their consequences constitute a pervasive factor affecting everyday performance errors and accidents. A bidirectional model of attention lapses (error [image omitted] attention-lapse: Cheyne, Solman, Carriere, & Smilek, 2009) argues that errors beget errors by generating attention…
Descriptors: Accidents, Learning Processes, Educational Environment, Partnerships in Education
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