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Katharina Loibl; Timo Leuders; Inga Glogger-Frey; Nikol Rummel – Instructional Science: An International Journal of the Learning Sciences, 2025
Instruction often spans multiple phases (e.g., phases of discovery learning, instructional explanations, practice) with different learning goals and different pedagogies. For any combination of multiple phases, we use the term composite instructional design (CID). To understand the mechanisms underlying composite instructional designs, we propose…
Descriptors: Instructional Design, Models, Learning Processes, Knowledge Level
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Kristen L. Granger; Jason C. Chow – Educational Psychology Review, 2025
The purpose of this paper is to propose a framework to guide the study of classroom factors that promote student functioning and development within classroom settings. First, we describe a new framework, "Classroom Carrying Capacity," to categorize factors in the classroom as limiting or resource factors across four domains: external,…
Descriptors: Learning Processes, Capacity Building, Classroom Environment, Influences
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Ashley Allen; Nicole Mills; Todd Campbell; Kristana Rogers; Kristen McInerney; Whitney White; Frank McKay – RTI International, 2025
The Essential Practices for College and Career Ready Instruction framework identifies research-based instructional strategies for use in early college high school programs, as well as other educational settings where educators seek to build a rigorous and engaging culture of learning grounded in student ownership of the learning process. The early…
Descriptors: College Readiness, Career Readiness, High School Students, High School Graduates
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Dave Hewitt – For the Learning of Mathematics, 2024
The author has been influenced throughout his time in mathematics education by the work of Caleb Gattegno. Gattegno made extensive use of the word awareness whereas much educational literature from a psychological perspective talks about memory (for example, Justicia-Galiano, MartÌn-Puga, Linares & Pelegrina, 2017). This has, amongst other…
Descriptors: Mathematics Instruction, Teaching Methods, Memory, Mathematics Education
Charles Logan; T. Philip Nichols; Antero Garcia – Phi Delta Kappan, 2025
In this article, Charles Logan, T. Philip Nichols, and Antero Garcia argue for resisting the uncritical adoption of "inevitable" automating technologies -- such as AI -- in schools. To theorize what forms this resistance might take, they turn to perhaps an unusual source: the Luddites. The 19th century textile workers were not…
Descriptors: Technology Uses in Education, Technology Integration, Resistance to Change, Educational Strategies
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Peschl, Markus F. – Learning Organization, 2023
Purpose: The purpose of this paper is to challenge processes of organizational learning and innovation that are based on making use of, extrapolating, or adapting past experiences and knowledge, because such a strategy turns out to be incapable of dealing with the challenges of today's volatile, uncertain, complex and ambiguous environment. As a…
Descriptors: Organizational Learning, Innovation, Models, Learning Processes
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Skulmowski, Alexander; Nebel, Steve; Remmele, Martin; Rey, Günter Daniel – Educational Psychology Review, 2022
The use of realistic visualizations has gained considerable interest due to the proliferation of virtual reality equipment. This review is concerned with the theoretical basis, technical implementation, cognitive effects, and educational implications of using realistic visualizations. Realism can be useful for learners, but in several studies,…
Descriptors: Realism, Learning Processes, Visualization, Cognitive Processes
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Zhang, Qian; Fiorella, Logan – Educational Psychologist, 2023
Errors are inevitable in most learning contexts, but under the right conditions, they can be beneficial for learning. Prior research indicates that generating and learning from errors can promote retention of knowledge, higher-level learning, and self-regulation. The present review proposes an integrated theoretical model to explain two major…
Descriptors: Models, Error Correction, Learning Processes, Feedback (Response)
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Gibson, David; Kovanovic, Vitomir; Ifenthaler, Dirk; Dexter, Sara; Feng, Shihui – British Journal of Educational Technology, 2023
This paper discusses a three-level model that synthesizes and unifies existing learning theories to model the roles of artificial intelligence (AI) in promoting learning processes. The model, drawn from developmental psychology, computational biology, instructional design, cognitive science, complexity and sociocultural theory, includes a causal…
Descriptors: Learning Theories, Artificial Intelligence, Learning Processes, Evaluation Criteria
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Pace, David – Teaching & Learning Inquiry, 2021
Decoding the Disciplines has emerged as one of the foremost approaches to the scholarship of teaching and learning (SoTL) and is being used to increase learning across the globe. But it is often not recognized that the paradigm has undergone enormous changes since its appearance in 2004. The original model has been clarified and perfected, but…
Descriptors: Scholarship, Instruction, Learning, Models
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Schreiner, Claudia; Wiesner, Christian – European Educational Researcher, 2023
In the context of a rapid digital transformation, digital competence is now regarded as a fourth cultural skill complementing reading, writing, and arithmetic. We argue that a well-structured and sound competence model is needed as a shared foundation for learning, teaching, pedagogical diagnostics and evaluative schemes in the school system.…
Descriptors: Computation, Thinking Skills, Digital Literacy, Competence
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Billie Harrington – Journal of Faculty Development, 2024
Hiring practitioners as faculty is not a novel practice in higher education. In their decision to shift from the private sector to the classroom, many practitioners enter the professoriate with little to no formal training in pedagogy. The question for faculty developers is how might Teaching and Learning Centers (TLCs) bridge this gap from…
Descriptors: Faculty Development, Teacher Effectiveness, College Faculty, Teaching Methods
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Højgaard, Tomas; Hansen, Rune – International Journal of Mathematical Education in Science and Technology, 2022
This article is about utilizing the process of building and exploiting models as a framework for inquiry in mathematics education research. We introduce and discuss a model of such a process and compare this model with key methodological features of design research in mathematics education. We argue that despite several communalities, educational…
Descriptors: Mathematical Models, Mathematics Education, Educational Research, Research Methodology
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Winne, Philip H. – International Journal of Artificial Intelligence in Education, 2021
Learner modeling systems so far formulated model learning in three main ways: a learner's "position" within a lattice of declarative and procedural knowledge about highly structured disciplines such as geometry or physics, a learner's path through curricular tasks compared to milestones, or profiles of a learner's achievements on a set…
Descriptors: Models, Student Characteristics, Access to Information, Learning Processes
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Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement
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