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Zsolt Molnár; Ágota Gyuris; Marianna Radács; Péter Nemes; István Bátori; Márta Gálfi – Cogent Education, 2023
Natural science in education can be summarized as a complex system. The professional and methodological task in the teaching of natural sciences is to convey this complexity. The terms and models of graph theory can be used to model the system approach, such as networks. Networks consist of elements and connections between them, which can be well…
Descriptors: Natural Sciences, Childhood Needs, Science Education, Difficulty Level
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Uchenna Asogwa; T. Ryan Duckett; Amanda P. Malefyt; Lindsey Stevens; Gale Mentzer; Matthew W. Liberatore – Journal of Chemical Education, 2023
Complex problem solving is one of the skills desired in the 21st century workforce. Students can improve their problem-solving skills by working on homework problems, and creating new problems can be a stimulating and inventive exercise for student as well. Our previous studies explored the impacts of a novel homework pedagogy where students…
Descriptors: Video Technology, Student Centered Learning, Textbooks, Comparative Analysis
Short, Rosanne Chastain – ProQuest LLC, 2023
The purpose of this study was to understand faculty perspectives of institutional change. The context for the institutional change was a shift from a largely traditional student population with a focus on the liberal arts to a range of adult and non-traditional students seeking professional degrees. The three research questions which guided the…
Descriptors: Teacher Response, Educational Change, School Demography, College Faculty
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Liu, Chan; Liu, Hao; Tan, Zhanglu – Education and Information Technologies, 2023
In online education, the appropriate choice of means of knowledge visualization can reduce cognitive load and improve cognitive efficiency. However, no universal basis for selection can cause confusion in the pedagogical context. This study used the revised Bloom's taxonomy to combine the types of knowledge with cognitive goals. We used a course…
Descriptors: Epistemology, Visualization, Eye Movements, Electronic Learning
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Leila Etemadi; Dan-Anders Jirenhed; Anders Rasmussen – npj Science of Learning, 2023
Eyeblink conditioning is used in many species to study motor learning and make inferences about cerebellar function. However, the discrepancies in performance between humans and other species combined with evidence that volition and awareness can modulate learning suggest that eyeblink conditioning is not merely a passive form of learning that…
Descriptors: Short Term Memory, Cognitive Processes, Difficulty Level, Intervals
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Merita Xhetani; Kristjana Lapi – International Society for Technology, Education, and Science, 2023
Students in high school tend to find genetics difficult to learn because it requires some crosslinked knowledge about subjects like genes, proteins, cells, tissues as well as organs and systems. It also becomes more difficult to connect and explain concepts such as the gene expression at the level of the cell to conceptualize the effect of the…
Descriptors: Genetics, High School Students, Student Attitudes, Science Instruction
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Tuyuan Cheng – Journal of Psycholinguistic Research, 2023
The relationship between working memory (WM) and language processing has been extensively investigated in cognitive research. Previous studies mostly obtain evidence from measuring the involvement of WM in complex syntactic structures reported with well-established processing asymmetry, e.g., relative clauses (RCs) in English. Rarely considered is…
Descriptors: Memory, Interference (Learning), Short Term Memory, Language Processing
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Soonri Choi; Soomin Kang; Kyungmin Lee; Hongjoo Ju; Jihoon Song – Contemporary Educational Technology, 2024
This study proposes that the gestures of an agent tutor in a multimedia learning environment can generate positive and negative emotions in learners and influence their cognitive processes. To achieve this, we developed and integrated positive and negative agent tutor gestures in a multimedia learning environment directed by cognitive gestures.…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Cognitive Processes, Difficulty Level
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Xueye Yan; Peng Peng; Yuting Liu – Grantee Submission, 2024
Mayer (2017, 2020) proposed three major design features of computer-assisted instructions (CAI) within the Cognitive Theory of Multimedia Learning: reducing extraneous processing (i.e., excluding irrelevant content), managing essential processing (i.e., focusing on the complex but essential learning materials), and fostering generative processing…
Descriptors: Computer Assisted Instruction, Reading Instruction, Instructional Design, Reading Difficulties
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Xiao-Fan Lin; Seng Yue Wong; Wei Zhou; Weipeng Shen; Wenyi Li; Chin-Chung Tsai – International Journal of Science and Mathematics Education, 2024
Research evidence indicated that a specific type of augmented reality-assisted (AR-assisted) science learning design or support might not suit or be effective for all students because students' cognitive load might differ according to their experiences and individual characteristics. Thus, this study aimed to identify undergraduate students'…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Foreign Countries
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Stoo Sepp; Sharon Tindall-Ford; Shirley Agostinho; Fred Paas – IEEE Transactions on Learning Technologies, 2024
This article presents a novel digital method of capturing finger-based gestures on touchscreen devices for the purpose of exploring tracing gestures in educational research. Given that tracing has been found to support cognition, learning, and problem solving in educational settings, data related to the performance of these gestures are…
Descriptors: Computer Oriented Programs, Tablet Computers, Data Collection, Problem Solving
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Yoshiki Fujiwara; Hiroyuki Shimada – Language Acquisition: A Journal of Developmental Linguistics, 2024
The goal of this paper is to tease apart two approaches to the source of children's consistent scope assignment in negative sentences containing logical connectives: the Semantic Subset Principle and the Semantic Subset Maxim. Previous developmental work has observed that four- to six-year-old children across languages have difficulty with…
Descriptors: Semantics, Language Acquisition, Form Classes (Languages), Morphemes
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Kristin Herman; Miguel Ramlatchan; Ross Herman – TechTrends: Linking Research and Practice to Improve Learning, 2024
Over the past decade, geospatial technologies have emerged as a tool for developing spatial reasoning and cognitive processes. While the foundational Learning to Think Spatially report from the National Research Center (2006) launched research into the use of geospatial technologies in isolation, more recently, cloud-based simulation software have…
Descriptors: Geographic Information Systems, Spatial Ability, Computer Simulation, Instructional Design
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Colm P. Murphy; Oliver R. Runswick; N. Viktor Gredin; David P. Broadbent – Cognitive Research: Principles and Implications, 2024
In sport, coaches often explicitly provide athletes with stable contextual information related to opponent action preferences to enhance anticipation performance. This information can be "dependent" on, or "independent" of, dynamic contextual information that only emerges during the sequence of play (e.g. opponent positioning).…
Descriptors: Information Sources, Team Sports, Expectation, Athletes
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Javier Del Olmo-Muñoz; Pascual D. Diago; David Arnau; David Arnau-Blasco; José Antonio González-Calero – ZDM: Mathematics Education, 2024
This research, following a sequential mixed-methods design, delves into metacognitive control in problem solving among 5- to 6-year-olds, using two floor-robot environments. In an initial qualitative phase, 82 pupils participated in tasks in which they directed a floor robot to one of two targets, with the closer target requiring more cognitive…
Descriptors: Elementary School Students, Metacognition, Robotics, Computer Simulation
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