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Antti Moilanen – Educational Theory, 2025
In this article Antti Moilanen assesses criticisms of Wolfgang Klafki's model of exemplary teaching made by Meinert Meyer and Hilbert Meyer and by Chi-Hua Chu. "Exemplary teaching" is a style of discovery-based teaching in which students study concrete examples of general principles in such a way that they acquire transferable knowledge…
Descriptors: Models, Educational Theories, Educational Philosophy, Criticism
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
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
John D. Egan; Steven Tolman; Juliann Sergi McBrayer; Emily Ballesteros – Experiential Learning and Teaching in Higher Education, 2023
Kolb's experiential learning cycle is typically applied in short-term, episodic snapshots of time, while understating the implications of continual, longer-term learning. This fixed-frame, episodic usage may diminish the knowledge that learners bring into an educational experience and the continued shaping of knowledge through future experiences.…
Descriptors: Experiential Learning, Lifelong Learning, Models, Learning Processes
Lu, Yu; Wang, Deliang; Chen, Penghe; Meng, Qinggang; Yu, Shengquan – International Journal of Artificial Intelligence in Education, 2023
As a prominent aspect of modeling learners in the education domain, knowledge tracing attempts to model learner's cognitive process, and it has been studied for nearly 30 years. Driven by the rapid advancements in deep learning techniques, deep neural networks have been recently adopted for knowledge tracing and have exhibited unique advantages…
Descriptors: Learning Processes, Artificial Intelligence, Intelligent Tutoring Systems, Data Analysis
Sharma, Meenakshi – Georgia Educational Researcher, 2022
The present article analyzes two critical frameworks within teacher education and how they construct preservice teachers and their learning within teacher education. These frameworks of 'Apprenticeship of Observation' (AoO) and 'Ambitious Practice' (AP) present opposing narratives about preservice teachers. While AoO directs our attention to…
Descriptors: Preservice Teachers, Learning, Preservice Teacher Education, Learning Processes
Malmi, Lauri; Sheard, Judy; Kinnunen, Päivi; Simon; Sinclair, Jane – ACM Transactions on Computing Education, 2023
Use of theory within a field of research provides the foundation for designing effective research programs and establishing a deeper understanding of the results obtained. This, together with the emergence of domain-specific theory, is often taken as an indicator of the maturity of any research area. This article explores the development and…
Descriptors: Learning Theories, Computer Science Education, Learning Processes, Models
Yonk, Ryan M.; Simmons, Randy T. – Higher Education Studies, 2023
In this Report on Practice, we explore both the process and an approach of engaging Undergraduate Students in research using a Research Institute setting. Drawing from our experience we conceive of the learning process as a series of interactions and transactions that face the same impediments as any transaction or interaction The approach, we…
Descriptors: Undergraduate Students, Learning Processes, Experiential Learning, Public Policy
Xia, Xiaona – Interactive Learning Environments, 2023
Learning interaction activities are the key part of tracking and evaluating learning behaviors, that plays an important role in data-driven autonomous learning and optimized learning in interactive learning environments. In this study, a big data set of learning behaviors with multiple learning periods is selected. According to the instance…
Descriptors: Behavior, Learning Processes, Electronic Learning, Algorithms
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
Baidal-Bustamante, Eduardo; Mora, Cesar; Alvarez-Alvarado, Manuel S. – IEEE Transactions on Education, 2023
With the advancements in information and communications technologies, new teaching approaches arise. In this context, project-based learning (PBL) and science, technology, engineering, the arts, and mathematics model (STEAM) emerge as the most popular in the education field, attributed to their efficacy on students' learning capacity. This article…
Descriptors: Art Education, STEM Education, Active Learning, Student Projects
González-Eras, Alexandra; Dos Santos, Ricardo; Aguilar, Jose – International Journal of Artificial Intelligence in Education, 2023
Professional profiles are unstructured documents where the knowledge and experience of the editor predominate, presenting inconsistencies and ambiguities in terms of the competencies they contain, making complicated the recognition of knowledge and skills necessary for the proposal of university study programs. Also, the identification of…
Descriptors: Technological Literacy, Competence, Profiles, Evaluation Methods
Eglington, Luke G.; Pavlik, Philip I., Jr. – International Journal of Artificial Intelligence in Education, 2023
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Lyons, Paul; Bandura, Randall – Journal of Workplace Learning, 2023
Purpose: The purpose of this paper is the presentation of a learning model for a manager and employee working collaboratively to make advances in knowledge, skills, work performance and in the quality of their relationship. The model is called reciprocal action learning. Design/methodology/approach: The approach was to examine concepts and…
Descriptors: Cooperative Learning, Employer Employee Relationship, Workplace Learning, Experiential Learning
Do Additional Features Help or Hurt Category Learning? The Curse of Dimensionality in Human Learners
Vong, Wai Keen; Hendrickson, Andrew T.; Navarro, Danielle J.; Perfors, Amy – Cognitive Science, 2019
The curse of dimensionality, which has been widely studied in statistics and machine learning, occurs when additional features cause the size of the feature space to grow so quickly that learning classification rules becomes increasingly difficult. How do people overcome the curse of dimensionality when acquiring real-world categories that have…
Descriptors: Learning Processes, Classification, Models, Performance