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Showing 1 to 15 of 17 results Save | Export
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Rebecca L. Pharmer; Christopher D. Wickens; Benjamin A. Clegg – Cognitive Research: Principles and Implications, 2025
In two experiments, we examine how features of an imperfect automated decision aid influence compliance with the aid in a simplified, simulated nautical collision avoidance task. Experiment 1 examined the impact of providing transparency in the pre-task instructions regarding which attributes of the task that the aid uses to provide its…
Descriptors: Accountability, Automation, Compliance (Psychology), Task Analysis
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David C. Schwebel; Ole Johan Sando; Ellen Beate Hansen Sandseter; Rasmus Kleppe; Lise Storli – Infant and Child Development, 2025
On a daily basis, children make decisions about how to negotiate their physical environment. Sometimes they engage in physical tasks that involve risk, requiring them to judge the safety of how to negotiate the environment safely. Individual differences in children's age, sex, physical size, and personality may impact those decisions. We used…
Descriptors: Children, Decision Making, Computer Simulation, Task Analysis
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Lupker, Stephen J.; Spinelli, Giacomo; Davis, Colin J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
A word's exterior letters, particularly its initial letter, appear to have a special status when reading. Therefore, most orthographic coding models incorporate assumptions giving initial letters and, in some cases, final letters, enhanced importance during the orthographic coding process. In the present article, 3 masked priming experiments were…
Descriptors: Alphabets, Reading Processes, Priming, Decision Making
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Lei, Xuehui; Mou, Weimin; Zhang, Lei – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
This study investigated the extent to which people can develop a global representation of local environments through across-boundary navigation. Participants learned objects' locations in two misaligned rectangular rooms in an immersive virtual environment. After learning, they adopted a local view in one room and judged directions of objects…
Descriptors: Spatial Ability, Computer Simulation, Navigation, Learning Processes
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Tack, Anaïs; Piech, Chris – International Educational Data Mining Society, 2022
How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are much-needed, there is no off-the-shelf solution to measuring pedagogical ability. This paper reports…
Descriptors: Artificial Intelligence, Dialogs (Language), Bayesian Statistics, Decision Making
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Dindar, Muhterem; Järvelä, Sanna; Haataja, Eetu – British Journal of Educational Technology, 2020
There is a growing body of research on physiological synchrony (PS) in Collaborative Problem Solving (CPS). However, the current literature presents inconclusive findings about the way in which PS is reflected in cognitive and affective group processes and performance. In light of this, this study investigates the relationship between PS and…
Descriptors: College Students, Metacognition, Physiology, Problem Solving
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Starrett, Michael J.; Stokes, Jared D.; Huffman, Derek J.; Ferrer, Emilio; Ekstrom, Arne D. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
An important question regards how we use environmental boundaries to anchor spatial representations during navigation. Behavioral and neurophysiological models appear to provide conflicting predictions, and this question has been difficult to answer because of technical challenges with testing navigation in novel, large-scale, realistic spatial…
Descriptors: Spatial Ability, Computer Simulation, Prediction, Structural Equation Models
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Aguilar, Jose; Cordero, Jorge; Buendía, Omar – Journal of Educational Computing Research, 2018
In this article, we propose the concept of "Autonomic Cycle Of Learning Analysis Tasks" (ACOLAT), which defines a set of tasks of learning analysis, whose objective is to improve the learning process. The data analysis has become a fundamental area for the knowledge discovery from data extracted from different sources. In the autonomic…
Descriptors: Data Analysis, Learning Processes, Decision Making, Instructional Improvement
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Chen, Julian ChengChiang – Computer Assisted Language Learning, 2018
Driven by interactionist theory and operationalized by task-based interaction, this study aims to investigate EFL learners' task-based negotiation in Second Life (SL), a 3D multi-user virtual environment (MUVE). A group of adult EFL learners with diverse cultural/linguistic backgrounds in L1 participated in this task-based virtual class. Learners…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Assisted Instruction
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Ngo, Thi Phuong Le – Research-publishing.net, 2015
A Virtual Resource Center (VRC) has been brought into use since 2008 as an integral part of a task-based language teaching and learning program for Business English courses at Nantes University, France. The objective of the center is to enable students to work autonomously and individually on their language problems so as to improve their language…
Descriptors: Computational Linguistics, Data Analysis, Business Communication, Second Language Learning
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Chrastil, Elizabeth R.; Warren, William H. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
It seems intuitively obvious that active exploration of a new environment would lead to better spatial learning than would passive visual exposure. It is unclear, however, which components of active learning contribute to spatial knowledge, and previous literature is decidedly mixed. This experiment tests the contributions of 4 components to…
Descriptors: Spatial Ability, Navigation, Video Technology, Decision Making
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Torrente, Javier; Borro-Escribano, Blanca; Freire, Manuel; del Blanco, Ángel; Marchiori, Eugenio J.; Martinez-Ortiz, Iván; Moreno-Ger, Pablo; Fernández-Manjón, Baltasar – IEEE Transactions on Learning Technologies, 2014
We present EGDA, an educational game development approach focused on the teaching of procedural knowledge using a cost-effective approach. EGDA proposes four tasks: analysis, design, implementation, and quality assurance that are subdivided in a total of 12 subtasks. One of the benefits of EGDA is that anyone can apply it to develop a game since…
Descriptors: Computer Simulation, Video Games, Teaching Methods, Health Services
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Kopainsky, Birgit; Pedercini, Matteo; Davidsen, Pal I.; Alessi, Stephen M. – Simulation & Gaming, 2010
Simulation models provide decision support to long-term planning processes. The Bergen Learning Environment for National Development (BLEND) is a game based on a simplified version of Millennium Institute's Threshold 21 model (T21) that sensitizes policy makers in sub-Saharan African nations to the need for simulation-based decision support. The…
Descriptors: Behavior Patterns, Academic Achievement, Models, Computer Simulation
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Davis, Colin J. – Psychological Review, 2010
Visual word identification requires readers to code the identity and order of the letters in a word and match this code against previously learned codes. Current models of this lexical matching process posit context-specific letter codes in which letter representations are tied to either specific serial positions or specific local contexts (e.g.,…
Descriptors: Identification, Word Recognition, Models, Coding
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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