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Dominic Wyse; Charlotte Hacking – Literacy, 2024
This paper presents a new theory and model of the teaching of decoding, reading and writing. The first part of the paper reviews a selection of influential models of learning to read and write that to varying degrees have been used as the basis for approaches to teaching, including the "Simple View of Reading." As well as noting some…
Descriptors: Decoding (Reading), Reading Instruction, Writing Instruction, Teaching Methods
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Helen Burns – Pedagogy, Culture and Society, 2024
This paper presents a theoretical exploration of the relationship between imagination, cognition and metacognition, conceptualised within "emergent models." These models are offered to enable dialogue and tools to understand and support imagination in education practice, through the presence of ever-transforming theory, conceived as…
Descriptors: Imagination, Metacognition, Cognitive Processes, Correlation
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Schukajlow, Stanislaw; Kaiser, Gabriele; Stillman, Gloria – Mathematical Thinking and Learning: An International Journal, 2023
Mathematical modeling and applications are an important part of curriculum and considered to be important for students' current and future lives. In this contribution, we focus on mathematical modeling from a cognitive prospective. Following embedding the cognitive perspective within the discourse of mathematical modeling, we describe some of the…
Descriptors: Mathematics Instruction, Metacognition, Mathematical Models, Learning Activities
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Wang, Tingting; Lajoie, Susanne P. – Educational Psychology Review, 2023
Although cognitive load (CL) and self-regulated learning (SRL) have been widely recognized as two determinant factors of students' performance, the integration of these two factors is still in its infancy. To further specify why and how CL links with SRL, we first conducted an overview to describe the multiple dimensions of cognitive load (i.e.,…
Descriptors: Cognitive Ability, Metacognition, Cognitive Processes, Correlation
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Richard Velasco; Dae S. Hong – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
In this study, we examined one experienced mathematician's class practices, with particular attention to cognitive model described in genetic decomposition. Our findings indicate that students only had limited opportunities to be familiar with the first three steps in genetic decomposition, which may potentially lead students to answer limit tasks…
Descriptors: Mathematics Education, Mathematical Concepts, Mathematics Skills, Mathematics Instruction
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Zheng Liu; Jiahui Wen; Yikang Liu; Chuan-Peng Hu – British Journal of Educational Psychology, 2024
Background: Self-related information is difficult to ignore and forget, which brings valuable implications for educational practice. Self-referential encoding techniques involve integrating self-referencing cues during the processing of learning material. However, the evidence base and effective implementation boundaries for these techniques in…
Descriptors: Self Concept, Meta Analysis, Student Attitudes, Models
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Julius Moritz Meier; Peter Hesse; Stephan Abele; Alexander Renkl; Inga Glogger-Frey – Journal of Computer Assisted Learning, 2024
Background: In example-based learning, examples are often combined with generative activities, such as comparative self-explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self-explanations. While static text-based examples can…
Descriptors: Video Technology, Models, Cues, Problem Solving
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Vegard Gjerde; Sivert Hagane – Physical Review Physics Education Research, 2024
Peer Instruction gives practice in the abstract language of physics, addresses common misconceptions among students, and is more effective than traditional lecturing. However, it is not clear what makes Peer Instruction effective nor how we might improve the method. An emerging perspective is that what makes Peer Instruction effective is how it…
Descriptors: Science Instruction, Peer Teaching, Scientific Concepts, Models
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Tom Reshef-Israeli; Shulamit Kapon – Online Submission, 2024
As problems become increasingly complex, science educators need to better understand how new knowledge is constructed and applied in heterogeneous team collaborations, and how to teach students to productively engage in these processes. We discuss the emergence of insights in collaborative sensemaking and suggest a model that articulates the…
Descriptors: Comprehension, Constructivism (Learning), Teaching Methods, Learner Engagement
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Pedro Isaias, Editor; Demetrios G. Sampson, Editor; Dirk Ifenthaler, Editor – Cognition and Exploratory Learning in the Digital Age, 2024
The Cognition and Exploratory Learning in the Digital Age (CELDA) conference focuses on discussing and addressing the challenges pertaining to the evolution of the learning process, the role of pedagogical approaches and the progress of technological innovation, in the context of the digital age. In each edition, CELDA, gathers researchers and…
Descriptors: Artificial Intelligence, Cognitive Processes, Discovery Learning, Teaching Methods
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Siew, Cynthia S. Q. – Journal of Learning Analytics, 2022
This commentary discusses how research approaches from Cognitive Network Science can be of relevance to research in the field of Learning Analytics, with a focus on modelling the knowledge representations of learners and students as a network of interrelated concepts. After providing a brief overview of research in Cognitive Network Science, I…
Descriptors: Network Analysis, Learning Analytics, Cognitive Processes, Knowledge Level
Reyhan Safak – ProQuest LLC, 2024
Structural reasoning is a combined ability to "look for structures, recognize structures, probe into structures, act upon structures, reason in terms of general structures, and see how a piece of knowledge acquired resolves a perturbation experienced" (Harel and Soto, 2017). The purpose of this study was to explore the cognitive…
Descriptors: Mathematics Instruction, Multiplication, Elementary School Students, Thinking Skills
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Makransky, Guido; Petersen, Gustav B. – Educational Psychology Review, 2021
There has been a surge in interest and implementation of immersive virtual reality (IVR)-based lessons in education and training recently, which has resulted in many studies on the topic. There are recent reviews which summarize this research, but little work has been done that synthesizes the existing findings into a theoretical framework. The…
Descriptors: Computer Simulation, Computer Uses in Education, Models, Educational Research
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Trixie James; Hayley Griffin; Katrina S. Johnston; Frank Armstrong – Journal of University Teaching and Learning Practice, 2023
Critical thinking is recognised as instrumental for positive, personal and professional, long-term outlooks. It is also widely accepted that the development of students' critical thinking skills can be achieved through explicit interventions. This paper documents the outcomes of a pilot study that investigated the value and impact of an…
Descriptors: Critical Thinking, Reflection, Teaching Methods, Thinking Skills
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Gros, Hippolyte; Thibaut, Jean-Pierre; Sander, Emmanuel – Educational Psychologist, 2020
Arithmetic problem solving is a crucial part of mathematics education. However, existing problem solving theories do not fully account for the semantic constraints partaking in the encoding and recoding of arithmetic word problems. In this respect, the limitations of the main existing models in the literature are discussed. We then introduce the…
Descriptors: Semantics, Arithmetic, Models, Word Problems (Mathematics)
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