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Xia, Xiaona; Qi, Wanxue – Education and Information Technologies, 2023
Interactive learning is a two-way learning method of learners independently by using computer and network technology. In the interactive relationships, interactive learning plays a role for learners to achieve the learning purpose, interactive learning has become an important effect of online learning, but it also has many problems that need to be…
Descriptors: Foreign Countries, Identification, Interaction, Learning Processes
Brooks, Patricia J.; Kempe, Vera – First Language, 2020
The radical exemplar model resonates with work on perceptual classification and categorization highlighting the role of exemplars in memory representations. Further development of the model requires acknowledgment of both the fleeting and fragile nature of perceptual representations and the gist-based, good-enough quality of long-term memory…
Descriptors: Models, Language Acquisition, Classification, Memory
Ryo Maie – ProQuest LLC, 2022
Skill acquisition theorists conceptualize second language (L2) learning as the acquisition of a set of perceptual, cognitive, and motor skills. The dominant view in skill acquisition theory is to regard L2 skill acquisition as a three-stage process "from initial representation of knowledge through initial changes in behavior to eventual…
Descriptors: Second Language Learning, Second Language Instruction, Linguistic Theory, Learning Processes
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
Luke Strickland; Simon Farrell; Micah K. Wilson; Jack Hutchinson; Shayne Loft – Cognitive Research: Principles and Implications, 2024
In a range of settings, human operators make decisions with the assistance of automation, the reliability of which can vary depending upon context. Currently, the processes by which humans track the level of reliability of automation are unclear. In the current study, we test cognitive models of learning that could potentially explain how humans…
Descriptors: Automation, Reliability, Man Machine Systems, Learning Processes
El-Awad, Ziad – Learning Organization, 2019
Purpose: This study aims to develop a process model that details the mechanisms and learning processes by which entrepreneurial learning transpires at multiple levels in the organization. Using the transactive memory system (TMS) framework as a reference, the model specifies how individual streams of knowledge are routinized in nonhuman elements…
Descriptors: Entrepreneurship, Learning, Organizations (Groups), Models
Caitlin R. Bowman; Dagmar Zeithamova – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
A major question for the study of learning and memory is how to tailor learning experiences to promote knowledge that generalizes to new situations. In two experiments, we used category learning as a representative domain to test two factors thought to influence the acquisition of conceptual knowledge: the number of training examples (set size)…
Descriptors: Classification, Learning Processes, Generalization, Recognition (Psychology)
Wixted, John T. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Slamecka and McElree (1983) and Rivera-Lares et al. (2022), like others before them, factorially manipulated the number of learning trials and the retention interval. The results revealed two unsurprising main effects: (a) the more study trials, the higher the initial degree of learning, and (b) the longer the retention interval, the more items…
Descriptors: Memory, Recall (Psychology), Retention (Psychology), Neurosciences
Dragos Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2023
Reading comprehension is essential for both knowledge acquisition and memory reinforcement. Automated modeling of the comprehension process provides insights into the efficacy of specific texts as learning tools. This paper introduces an improved version of the Automated Model of Comprehension, version 3.0 (AMoC v3.0). AMoC v3.0 is based on two…
Descriptors: Reading Comprehension, Models, Concept Mapping, Graphs
Walsh, Matthew M.; Gluck, Kevin A.; Gunzelmann, Glenn; Jastrzembski, Tiffany; Krusmark, Michael – Cognitive Science, 2018
The spacing effect is among the most widely replicated empirical phenomena in the learning sciences, and its relevance to education and training is readily apparent. Yet successful applications of spacing effect research to education and training is rare. Computational modeling can provide the crucial link between a century of accumulated…
Descriptors: Models, Time Factors (Learning), Memory, Intervals
Jun Kataoka – ProQuest LLC, 2024
This dissertation proposes novel Domain Adaptation (DA) methods in real-world industrial settings, where the availability of labeled data is limited and test data can significantly differ from training data. Particularly, our research addresses key challenges in DA, including the applicability of DA methods in industrial settings, strategies to…
Descriptors: Industry, Authentic Learning, Data, Training Methods
Botelho, Anthony F.; Varatharaj, Ashvini; Patikorn, Thanaporn; Doherty, Diana; Adjei, Seth A.; Beck, Joseph E. – IEEE Transactions on Learning Technologies, 2019
The increased usage of computer-based learning platforms and online tools in classrooms presents new opportunities to not only study the underlying constructs involved in the learning process, but also use this information to identify and aid struggling students. Many learning platforms, particularly those driving or supplementing instruction, are…
Descriptors: Student Attrition, Student Behavior, Early Intervention, Identification
Knabe, Melina L.; Vlach, Haley A. – First Language, 2020
Ambridge argues that there is widespread agreement among child language researchers that learners store linguistic abstractions. In this commentary the authors first argue that this assumption is incorrect; anti-representationalist/exemplar views are pervasive in theories of child language. Next, the authors outline what has been learned from this…
Descriptors: Child Language, Children, Language Acquisition, Models
Goodwin, Bryan – McREL International, 2018
This paper proposes a synthesis of the science of learning into a "model" teachers can follow and apply right away in their classrooms. Recent studies in neuroscience show that that our brains appear to actively and purposefully forget most of what we learn--continually clearing out old and unneeded memories to allow us to focus on more…
Descriptors: Brain, Memory, Learning Processes, Neurosciences
Letrud, Kåre; Hernes, Sigbjørn – Cogent Education, 2018
The family of cognitive models sometimes referred to as the "Learning Pyramid" enjoys a considerable level of authority within several areas of educational studies, despite that nobody knows how they originated or whether they were supported by any empirical evidence. This article investigates the early history of these models. Through…
Descriptors: Learning Processes, Cognitive Style, Misconceptions, Neurosciences