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Showing 1 to 15 of 25 results Save | Export
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Venus Ho; Emily Stonehouse; Ori Friedman – Developmental Psychology, 2024
Although stories for children often feature supernatural and fantastical events, children themselves often prefer realistic events when choosing what should happen in a story. In two experiments, we investigated whether 3- to 5-year-olds (total N = 240 from diverse backgrounds) might be more likely to include fantastical events in stories about…
Descriptors: Fiction, Fantasy, Child Development, Preferences
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Laurie-Anne Sapey-Triomphe; Gaëtan Sanchez; Marie-Anne Hénaff; Sandrine Sonié; Christina Schmitz; Jérémie Mattout – npj Science of Learning, 2023
Predictive coding theories suggest that core symptoms in autism spectrum disorders (ASD) may stem from atypical mechanisms of perceptual inference (i.e., inferring the hidden causes of sensations). Specifically, there would be an imbalance in the precision or weight ascribed to sensory inputs relative to prior expectations. Using three tactile…
Descriptors: Autism Spectrum Disorders, Tactual Perception, Sensory Integration, Comparative Analysis
Leech, Tony; Chambers, Lucy – Research Matters, 2022
Two of the central issues in comparative judgement (CJ), which are perhaps underexplored compared to questions of the method's reliability and technical quality, are "what processes do judges use to make their decisions" and "what features do they focus on when making their decisions?" This article discusses both, in the…
Descriptors: Comparative Analysis, Decision Making, Evaluators, Reliability
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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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Mahmoud Abdi Tabari; Minyoung Cho – Language Teaching Research, 2025
To test the predictive power of the SSARC (stabilize, simplify, automatize, reconstruct, and complexify) model of pedagogic task sequencing in second language (L2) writing development, the present study explores the performance of written decision-making tasks with varied levels of cognitive complexity in a simple-to-complex sequence in comparison…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Advanced Students
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Guerra, Julio; Ortiz-Rojas, Margarita; Zúñiga-Prieto, Miguel Angel; Scheihing, Eliana; Jiménez, Alberto; Broos, Tom; De Laet, Tinne; Verbert, Katrien – British Journal of Educational Technology, 2020
Despite the success of academic advising dashboards in several higher educational institutions (HEI), these dashboards are still under-explored in Latin American HEI's. To close this gap, three different Latin American universities adapted an existing advising dashboard, originally deployed at the KU Leuven to their own context. In all three…
Descriptors: Academic Advising, Management Systems, Universities, Decision Making
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Chang, Hung-Fu; Shokrolah Shirazi, Mohammad – Informatics in Education, 2022
Scrum is a widely-used framework in industry, so many schools apply it to their software engineering courses, particularly capstone courses. Due to the differences between students and industrial professionals, changing Scrum is necessary to fit capstone projects. In this paper, we suggest a decision-making process to assist instructors in…
Descriptors: Computer Science Education, Capstone Experiences, Learning Experience, Task Analysis
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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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Jost, Patrick – International Association for Development of the Information Society, 2021
Educators are increasingly confronted with technology-driven learning scenarios. Even before the push from the current pandemic, digital learning apps became an integrated didactic tool. Advanced computing can thereby support the digital content creation for educational courses offered on mobile platforms. Computed media content such as natural…
Descriptors: Artificial Intelligence, Computer Software, Nonverbal Communication, Decision Making
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Hayes, Brett K.; Stephens, Rachel G.; Ngo, Jeremy; Dunn, John C. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Three-experiments examined the number of qualitatively different processing dimensions needed to account for inductive and deductive reasoning. In each study, participants were presented with arguments that varied in logical validity and consistency with background knowledge (believability), and evaluated them according to deductive criteria…
Descriptors: Inferences, Logical Thinking, Short Term Memory, Cognitive Processes
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Shimmei, Machi; Matsuda, Noboru – International Educational Data Mining Society, 2020
One of the most challenging issues for online courseware engineering is to maintain the quality of instructional components, such as written text, video, and assessments. Learning engineers would like to know how individual instructional components contributed to students' learning. However, it is a hard task because it requires significant…
Descriptors: Teaching Methods, Engineering, Outcomes of Education, Courseware
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Bobadilla-Suarez, Sebastian; Love, Bradley C. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Heuristics are simple, yet effective, strategies that people use to make decisions. Because heuristics do not require all available information, they are thought to be easy to implement and to not tax limited cognitive resources, which has led heuristics to be characterized as fast-and-frugal. We question this monolithic conception of heuristics…
Descriptors: Heuristics, Decision Making, Cognitive Processes, Attention Control
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Choi, Seohyun; Kim, Dongsik; Jung, Jaewon – IAFOR Journal of Education, 2021
Emphasis manipulation is a way to help learners by directing their attention to particular subcomponents of a learning task. This study investigated the effects of different approaches to emphasis manipulation on knowledge transfer and cognitive load. This was done by examining the impact of three task selection strategies: system-controlled,…
Descriptors: Cognitive Ability, Task Analysis, High School Students, Comparative Analysis
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McCulloch, Allison W.; Bailey, Nina G.; Fye, Kristen; Scott, Gayle – Mathematics Teacher Educator, 2020
In this article, we examine the ways in which the creation of a third space can bridge the divide between coursework and practice for preservice secondary mathematics teachers (PSTs) taking a technology, pedagogy, and content course. A university-based instructor partnered with two high school teachers to create a space in which PSTs draw upon and…
Descriptors: Teaching Methods, Mathematics Instruction, Instructional Design, Decision Making
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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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