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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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Lozano, José H.; Revuelta, Javier – Educational and Psychological Measurement, 2023
The present paper introduces a general multidimensional model to measure individual differences in learning within a single administration of a test. Learning is assumed to result from practicing the operations involved in solving the items. The model accounts for the possibility that the ability to learn may manifest differently for correct and…
Descriptors: Bayesian Statistics, Learning Processes, Test Items, Item Analysis
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Ran Bao; Jianyong Chen – Technology, Knowledge and Learning, 2025
Multimodal learning analysis emphasizes using diverse data from various sources and forms for precise examination of learning patterns. Despite recent rapid advancements in this field, conventional learning analysis remains predominantly cross-sectional and group-focused, which is insufficient for understanding continuous and personalized learning…
Descriptors: Learning Analytics, Data Use, Evaluation Methods, Learning Processes
Cara E. Schwarz – ProQuest LLC, 2024
My thesis work is focused on conceptual and epistemic learning and characterizing the environments in which this learning takes place. Earlier studies conducted by the Stowe group explored how instructional practices, instructional emphasis, and assessment emphasis relate to student outcomes in general and organic chemistry courses. Student…
Descriptors: Chemistry, Science Instruction, Organic Chemistry, Epistemology
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Bergaoui, Nisseb; Ghannouchi, Sonia Ayachi – Smart Learning Environments, 2023
Agility is a contemporary approach to IT project management, which we can also use in education. Students learn through the gradual implementation of iterative projects with information exchange between team members. Agility is above all a mindset. Being agile is quite simply being able to adapt to an environment that changes. Furthermore, various…
Descriptors: Adjustment (to Environment), Learning Processes, Teaching Methods, Models
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Greta Goetz – Educational Philosophy and Theory, 2025
"Applications" of knowledge symbolically and structurally "codify" thinking, often displacing the human who is relegated to passive, routine reproduction of operations and left with no space or time to understand or question the relations underlying the processes. This is both mirrored and augmented by the schematic narrowing…
Descriptors: Educational Philosophy, Critical Theory, Teaching Methods, Phenomenology
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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
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Christiansen, Iben Maj; Corriveau, Claudia; Pettersson, Kerstin – Educational Studies in Mathematics, 2023
Within the commognitive perspective, ritual and explorative routines are used in a very particular way to distinguish students' routines according to whether they are driven by social reward or by generating a substantiated narrative. Explorative routines in this theorisation may refer not to inquiry-based activity but to the result of a student's…
Descriptors: Mathematics Instruction, Teaching Methods, Learning Processes, Discovery Learning
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Weikang Lu; Chenghua Lin – Asia-Pacific Education Researcher, 2025
Based on the UTAUT model, many studies have analyzed the factors influencing the use of artificial intelligence by teachers and students, but the conclusions are not uniform. This study chose high quality studies and encoded them to do meta analysis. After heterogeneity testing, sensitivity analysis and publication bias test, it has been found…
Descriptors: Meta Analysis, Technology Integration, Computer Software, Artificial Intelligence
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Sonja Dieterich; Stefan Rumann; Marc Rodemer – Educational Psychology Review, 2025
Example-based learning is a well-known instructional method for effective cognitive skill acquisition in complex domains. "(Contrasting) erroneous examples" are a promising extension that embed errors in instructional material, potentially fostering not only positive but negative knowledge. However, the mechanisms and conditions for…
Descriptors: Learning Processes, Teaching Methods, Instructional Effectiveness, Models
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Somayeh B. Shafiei; Saeed Shadpour; Farzan Sasangohar; James L. Mohler; Kristopher Attwood; Zhe Jing – npj Science of Learning, 2024
The existing performance evaluation methods in robot-assisted surgery (RAS) are mainly subjective, costly, and affected by shortcomings such as the inconsistency of results and dependency on the raters' opinions. The aim of this study was to develop models for an objective evaluation of performance and rate of learning RAS skills while practicing…
Descriptors: Robotics, Surgery, Eye Movements, Medicine
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Andrade, Eric Francelino; Zaine Teixeira Debortoli, Gabriele; Gomes Batista, Victor Luiz; Newton Bizetto Meira de Andrade, James; Orlando, Débora Ribeiro; Rocha Lobo-Junior, Adalfredo – Journal of Biological Education, 2022
Learning the physiology of the cardiovascular system can be difficult for students, but the use of active teaching methodologies can help and enhance learning. To facilitate the understanding of how the cardiovascular system works, we built a functional model for Veterinary Medicine students attending a cardiovascular physiology lecture and…
Descriptors: Physiology, Veterinary Medical Education, Teaching Methods, Active Learning
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Lachner, Andreas; Hoogerheide, Vincent; van Gog, Tamara; Renkl, Alexander – Educational Psychology Review, 2022
Teaching the contents of study materials by providing explanations to fellow students can be a beneficial instructional activity. A learning-by-teaching effect can also occur when students provide explanations to a real, remote, or even fictitious audience that cannot be interacted with. It is unclear, however, which underlying mechanisms drive…
Descriptors: Instruction, Instructional Effectiveness, Models, Educational Practices
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Xia, Xiaona – SAGE Open, 2022
Mining problems and exploring rules are the key problems in the learning process, and also the difficulties in education big data. Therefore, taking learning behavior as the research objective, this study demonstrates the collaborative training method of multi view learning interaction process driven by big data, so as to realize the tendency…
Descriptors: Learning Analytics, Learning Processes, Cooperative Learning, Training Methods
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Phillips, Bernadette – Journal of Montessori Research, 2022
The Neurosequential Model in Education (NME) is described as a developmentally sensitive and biologically respectful approach to development and learning. This paper postulates that the NME shares many commonalities with the Montessori Method in that it, too, is developmentally sensitive and adheres to biologically respectful concepts. This paper…
Descriptors: Models, Montessori Method, Child Development, Developmental Stages
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