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Showing all 13 results Save | Export
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Jiang, Shiyan; Qian, Yingxiao; Tang, Hengtao; Yalcinkaya, Rabia; Rosé, Carolyn P.; Chao, Jie; Finzer, William – Education and Information Technologies, 2023
As artificial intelligence (AI) technologies are increasingly pervasive in our daily lives, the need for students to understand the working mechanisms of AI technologies has become more urgent. Data modeling is an activity that has been proposed to engage students in reasoning about the working mechanism of AI technologies. While Computational…
Descriptors: Computation, Thinking Skills, Cognitive Processes, Artificial Intelligence
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Yan Sun; Jamie Dyer; Jonathan Harris – Journal of Educational Computing Research, 2024
This study was grounded in the spatial computational thinking model developed by the "3D Weather" project funded by the NSF STEM+C program. The model reflects a discipline-based perspective towards computational thinking and captures the spatial nature of computational thinking in meteorology and the reliance of computational thinking on…
Descriptors: Teaching Methods, Science Instruction, Meteorology, Weather
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Pincham, Hannah L.; Szucs, Denes – Cognition, 2012
Subitizing is traditionally described as the rapid, preattentive and automatic enumeration of up to four items. Counting, by contrast, describes the enumeration of larger sets of items and requires slower serial shifts of attention. Although recent research has called into question the preattentive nature of subitizing, whether or not numerosities…
Descriptors: Reaction Time, Attention, Computation, Visual Stimuli
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Stanton, Roger D.; Nosofsky, Robert M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013
Researchers have proposed that an explicit reasoning system is responsible for learning rule-based category structures and that a separate implicit, procedural-learning system is responsible for learning information-integration category structures. As evidence for this multiple-system hypothesis, researchers report a dissociation based on…
Descriptors: Classification, Psychological Studies, Learning Strategies, Cognitive Processes
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Yuen, Timothy T.; Robbins, Kay A. – ACM Transactions on Computing Education, 2014
Critical thinking, problem solving, the use of tools, and the ability to consume and analyze information are important skills for the 21st century workforce. This article presents a qualitative case study that follows five undergraduate biology majors in a computer science course (CS0). This CS0 course teaches programming within a data-driven…
Descriptors: Qualitative Research, Critical Thinking, Thinking Skills, Problem Solving
Rimland, Jeffrey C. – ProQuest LLC, 2013
In many evolving systems, inputs can be derived from both human observations and physical sensors. Additionally, many computation and analysis tasks can be performed by either human beings or artificial intelligence (AI) applications. For example, weather prediction, emergency event response, assistive technology for various human sensory and…
Descriptors: Man Machine Systems, Artificial Intelligence, Client Server Architecture, Information Technology
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Kirwan, C. Brock; Hartshorn, Andrew; Stark, Shauna M.; Goodrich-Hunsaker, Naomi J.; Hopkins, Ramona O.; Stark, Craig E. L. – Neuropsychologia, 2012
Computational models of hippocampal function propose that the hippocampus is capable of rapidly storing distinct representations through a process known as pattern separation. This prediction is supported by electrophysiological data from rodents and neuroimaging data from humans. Here, we test the prediction that damage to the hippocampus would…
Descriptors: Prediction, Patients, Recognition (Psychology), Computation
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Berry, Christopher J.; Shanks, David R.; Speekenbrink, Maarten; Henson, Richard N. A. – Psychological Review, 2012
We present a new modeling framework for recognition memory and repetition priming based on signal detection theory. We use this framework to specify and test the predictions of 4 models: (a) a single-system (SS) model, in which one continuous memory signal drives recognition and priming; (b) a multiple-systems-1 (MS1) model, in which completely…
Descriptors: Priming, Recognition (Psychology), Models, Prediction
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Sreckovic, Melissa A.; Common, Eric A.; Knowles, Meagan M.; Lane, Kathleen Lynne – Behavioral Disorders, 2014
In this systematic review, we evaluated the evidence base of self-regulated strategy development (SRSD; Harris & Graham, 1992) for writing with students with and at risk for emotional or behavioral disorders (EBD). First, we evaluated the quality of studies identified (n 5 13) by applying the quality indicators for single case (Horner et al.,…
Descriptors: Behavior Disorders, Emotional Disturbances, Writing Instruction, Literature Reviews
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Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed.; Mascia, Maria Lidia, Ed. – International Association for Development of the Information Society, 2019
These proceedings contain the papers of the 16th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2019), held during November 7-9, 2019, which has been organized by the International Association for Development of the Information Society (IADIS) and co-organised by University Degli Studi di Cagliari, Italy.…
Descriptors: Teaching Methods, Cooperative Learning, Engineering Education, Critical Thinking
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Groth, Randall E. – Journal of Mathematical Behavior, 2005
The study describes students' patterns of thinking for statistical problems set in two different contexts. Fifteen students representing a wide range of experiences with high school mathematics participated in problem-solving clinical interview sessions. At one point during the interviews, each solved a problem that involved determining the…
Descriptors: Mathematics Education, Problem Sets, Statistical Data, Data Analysis
Pateman, Neil A., Ed; Dougherty, Barbara J., Ed.; Zilliox, Joseph T., Ed. – International Group for the Psychology of Mathematics Education, 2003
This volume of the 27th International Group for the Psychology of Mathematics Education Conference includes the following research reports: (1) The Affective Views of Primary School Children (Peter Grootenboer); (2) Theoretical Model of Analysis of Rate Problems in Algebra (Jose Guzman, Nadine Bednarz and Fernando Hitt); (3) Locating Fractions on…
Descriptors: Preservice Teacher Education, Preservice Teachers, Mathematics Education, Validity
Watson, Jane, Ed.; Beswick, Kim, Ed. – Mathematics Education Research Group of Australasia, 2007
This is a record of the proceedings of the 30th annual conference of the Mathematics Education Research Group of Australasia (MERGA). The theme of the conference is "Mathematics: Essential research, essential practice." The theme draws attention to the importance of developing and maintaining links between research and practice and…
Descriptors: Teacher Education, Secondary School Mathematics, Concept Mapping, Student Teachers