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Slavit, David; Lesseig, Kristin; Simpson, Amber – Journal of Pedagogical Research, 2022
The goal of this paper is to share an analytic framework for understanding Students? Ways of Thinking (SWoT) in STEM-rich learning environments. Before revealing our refined coding framework, we detail the nature of our collaborations and the various analytic decisions that led to its formation. These collaborations supported our collective…
Descriptors: Thinking Skills, STEM Education, Cognitive Processes, Models
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Selena Steinberg; Melissa Gresalfi; Lauren Vogelstein; Corey Brady – Journal of Research on Technology in Education, 2024
This paper considers how a curricular design that integrated computer programming and creative movement shaped students' engagement with computing. We draw on data from a camp for middle schoolers, focusing on an activity in which students used the programming environment NetLogo to re-represent their physical choreography. We analyze the extent…
Descriptors: Dance, Programming, Computation, Computer Simulation
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Renske Weeda; Sjaak Smetsers; Erik Barendsen – Computer Science Education, 2024
Background and Context: Multiple studies report that experienced instructors lack consensus on the difficulty of programming tasks for novices. However, adequately gauging task difficulty is needed for alignment: to select and structure tasks in order to assess what students can and cannot do. Objective: The aim of this study was to examine…
Descriptors: Novices, Coding, Programming, Computer Science Education
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Yuxin Hao; Xun Duan; Sicong Zha; Tingting Xu – Journal of Psycholinguistic Research, 2024
In the past, research on the cognitive neural mechanism of second language (L2) learners' processing time information has focused on Indo-European languages. It has also focused on the temporal category expressed by morphological changes. However, there has been a lack of research on L2 learners' various time coding means, especially for Mandarin,…
Descriptors: Second Language Learning, Mandarin Chinese, Morphemes, Time
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Anna Bloodworth; AnnaMarie Conner; Claire Miller; Lorraine Franco; Timothy Foutz; Roger B. Hill – Journal of Technology Education, 2023
Drawing on research in mathematics and science education that has supported student higher-level thinking in K-12 classrooms, we sought to classify the ways of thinking and reasoning supported by robotics coding tasks. As part of a larger project, we examined coding tasks implemented in elementary school classrooms and analyzed ways of thinking…
Descriptors: Elementary Education, Robotics, Coding, Logical Thinking
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Skulmowski, Alexander – Education and Information Technologies, 2022
Digital learning increasingly makes use of realistic visualizations, although realism can be demanding for learners. Color coding is a popular way of helping learners understand visualizations and has been found to aid in learning with detailed visualizations. However, previous research has shown that color coding must not always be an effective…
Descriptors: Color, Coding, Visualization, Electronic Learning
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Larsen, Tori M.; Endo, Bianca H.; Yee, Alexander T.; Do, Tony; Lo, Stanley M. – CBE - Life Sciences Education, 2022
Bloom's taxonomy is a classification of learning objectives originally developed for general educational purposes. The taxonomy was revised to expand beyond cognitive processes and to include knowledge types as an orthogonal dimension. As Bloom's taxonomy is a tool widely used in biology education by researchers and instructors, it is important to…
Descriptors: Taxonomy, Educational Objectives, Cognitive Processes, Verbs
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Bierema, Andrea; Hoskinson, Anne-Marie; Moscarella, Rosa; Lyford, Alex; Haudek, Kevin; Merrill, John; Urban-Lurain, Mark – International Journal of Research & Method in Education, 2021
As we take advantage of new technologies that allow us to streamline the coding process of large qualitative datasets, we must consider whether human cognitive bias may introduce statistical bias in the process. Our research group analyzes large sets of student responses by developing computer models that are trained using human-coded responses…
Descriptors: Cognitive Processes, Bias, Educational Researchers, Educational Research
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Calderon, Orly; Kupferberg, Rachel – Contemporary School Psychology, 2022
Federal law requires that psychoeducational evaluations be comprehensive, and utilize variety of assessment measures that evaluate the child's functioning along academic and cognitive domains as well as life skills outside of the classroom (Wiley, 2014) . Previous research suggests the Thematic Apperception Test (TAT; Harvard University Press,…
Descriptors: Psychological Testing, Projective Measures, Psychoeducational Methods, Children
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Yew-Jin Lee; Dongsheng Wan – Educational Studies, 2024
Educators have long questioned why some students can experience achievement more easily in some school subjects/curriculum, but not in others. We argue that learners cannot ignore navigating two key features inherent within every curriculum--its cognitive demands as well as its opportunities for access to knowledge that are the twin foci of this…
Descriptors: Foreign Countries, Academic Achievement, Cognitive Processes, Difficulty Level
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Aaron Hogue; Nicole Porter; Molly Bobek; Alexandra MacLean; Lila Bruynesteyn; Amanda Jensen-Doss; Sarah Dauber; Craig E. Henderson – Administration and Policy in Mental Health and Mental Health Services Research, 2022
A foundational strategy to promote implementation of evidence-based interventions (EBIs) is providing EBI training to therapists. This study tested an online training system in which therapists practiced observational coding of mock video vignettes demonstrating family therapy techniques for adolescent behavior problems. The study compared…
Descriptors: Electronic Learning, Allied Health Personnel, Observation, Cognitive Processes
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Figen Durkaya – Shanlax International Journal of Education, 2023
The present study has been developed in order to inquire the cognitive awareness of the 2nd grade-level students of the Science Teaching program on "sensors", which has an important place in the development of the robotic and automation systems. In the study, the method of case study, which is one of the qualitative research motifs, was…
Descriptors: Preservice Teachers, Science Teachers, Grade 2, Teacher Education Programs
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Robins, Anthony V. – ACM Transactions on Computing Education, 2022
This paper explores a major theoretical framework from psychology, Dual Process Theory (DPT), which has received surprisingly little attention in the computing education literature. DPT postulates the existence of two qualitatively different kinds of cognitive systems, a fast, intuitive "System 1" and a slow, reflective "System…
Descriptors: Learning Theories, Cognitive Processes, Intelligence, Long Term Memory
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Majerus, Steve; Oberauer, Klaus – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
The processing of ordinally organized information is a characteristic of both serial-order working memory and numerical cognition. Serial positions of items presented within a list follow an ordinal organization when stored in working memory, whereas numbers are based on an ordinal structure stored in long-term memory. We tested the hypothesis…
Descriptors: Short Term Memory, Serial Ordering, Numeracy, Numbers
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Iseli, Markus; Feng, Tianying; Chung, Gregory; Ruan, Ziyue; Shochet, Joe; Strachman, Amy – Grantee Submission, 2021
Computational thinking (CT) has emerged as a key topic of interest in K-12 education. Children that are exposed at an early age to STEM curriculum, such as computer programming and computational thinking, demonstrate fewer obstacles entering technical fields. Increased knowledge of programming and computation in early childhood is also associated…
Descriptors: Computation, Thinking Skills, STEM Education, Coding
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