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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
Justine Hamilton; McKay Moore Sohlberg; Lyn Turkstra – International Journal of Language & Communication Disorders, 2024
Background: Cognitive rehabilitation is a complex and specialized area of practice, as it aims to support individuals with diverse neuropsychological profiles, personal characteristics, and intersectionalities in achieving meaningful, functional change in personally relevant aspects of their everyday lives. In many ways, cognitive rehabilitation…
Descriptors: Rehabilitation, Cognitive Processes, Classification, Models
W. Jake Thompson; Amy K. Clark – Educational Measurement: Issues and Practice, 2024
In recent years, educators, administrators, policymakers, and measurement experts have called for assessments that support educators in making better instructional decisions. One promising approach to measurement to support instructional decision-making is diagnostic classification models (DCMs). DCMs are flexible psychometric models that…
Descriptors: Decision Making, Instructional Improvement, Evaluation Methods, Models
Zhang, Lishan; Huang, Yuwei; Yang, Xi; Yu, Shengquan; Zhuang, Fuzhen – Interactive Learning Environments, 2022
Automatic short-answer grading has been studied for more than a decade. The technique has been used for implementing auto assessment as well as building the assessor module for intelligent tutoring systems. Many early works automatically grade mainly based on the similarity between a student answer and the reference answer to the question. This…
Descriptors: Automation, Grading, Models, Artificial Intelligence
Carter-Sowell, Adrienne R.; Miller, Gabe H.; Ganesan, Asha; Kelly, Kimberle A.; Wang, Ran; Crist, Jaren D. – Journal of STEM Education: Innovations and Research, 2023
For 25 years, the National Science Foundation's Alliances for Graduate Education and the Professoriate (AGEP) program has been supporting efforts to broaden participation and meaningfully diversify the Science, Technology, Engineering, and Mathematics (STEM) postdoctoral and faculty ranks. To examine the structures and strategies carried out by…
Descriptors: Graduate Study, College Faculty, Diversity (Faculty), STEM Education
Tillson, John – Journal of Philosophy of Education, 2020
In this paper, I offer Brighouse et al some friendly suggestions for expanding the notion of 'educational goods', pose some challenges for their book's decision-making framework and offer an opportunity for them to fill some small, but interesting lacunas. I start by comparing their typology of desirable educational outcomes with alternative…
Descriptors: Decision Making, Models, Classification, Epistemology
Compton, Donald L. – Learning Disability Quarterly, 2021
Multifactorial models of dyslexia have expanded how we consider heterogeneity within the population of children with dyslexia. These models are predicated on the idea that cognitive/linguistic risk factors are not deterministic but instead probabilistic, with the likelihood of difficulties involving an interaction between risk and protective…
Descriptors: Dyslexia, Etiology, Disability Identification, Intervention
Magooda, Ahmed; Elaraby, Mohamed; Litman, Diane – Grantee Submission, 2021
This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different tasks (extractive summarization, language modeling, concept detection, and paraphrase detection) both individually and in combination, with the goal of enhancing the target…
Descriptors: Data Analysis, Synthesis, Documentation, Training
Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2020
This note raises caution that a finding of a marked pseudo-guessing parameter for an item within a three-parameter item response model could be spurious in a population with substantial unobserved heterogeneity. A numerical example is presented wherein each of two classes the two-parameter logistic model is used to generate the data on a…
Descriptors: Guessing (Tests), Item Response Theory, Test Items, Models
The Reliability of the Posterior Probability of Skill Attainment in Diagnostic Classification Models
Johnson, Matthew S.; Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2020
One common score reported from diagnostic classification assessments is the vector of posterior means of the skill mastery indicators. As with any assessment, it is important to derive and report estimates of the reliability of the reported scores. After reviewing a reliability measure suggested by Templin and Bradshaw, this article suggests three…
Descriptors: Reliability, Probability, Skill Development, Classification
Vaccarezza, Maria Silvia – Ethics and Education, 2020
The current "exemplarist turn" within virtue ethics is increasingly shedding light on the importance of exemplars both as enabling one to identify the virtues and for the importance they bear for orienting one's conduct, as well as for educating the novice. However, even if categorizations of exemplars have already been proposed, there…
Descriptors: Ethics, Educational Philosophy, Classification, Values Education
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
Carlin, Andrew P.; Moutinho, Ricardo – Educational Philosophy and Theory, 2022
This article takes a conceptual approach to an issue of pedagogical relevance--the presence of "teaching and learning moments" within educational environments. We suggest sources of philosophical confusions that design patterns for the classification and creation of typologies of classroom events. We identify three foundational…
Descriptors: Teaching Methods, Learning Processes, Educational Philosophy, Educational Environment
Kim, Eunsook; von der Embse, Nathaniel – Educational and Psychological Measurement, 2021
Although collecting data from multiple informants is highly recommended, methods to model the congruence and incongruence between informants are limited. Bauer and colleagues suggested the trifactor model that decomposes the variances into common factor, informant perspective factors, and item-specific factors. This study extends their work to the…
Descriptors: Probability, Models, Statistical Analysis, Congruence (Psychology)
Ghiara, Virginia – Journal of Mixed Methods Research, 2020
In the mixed methods research (MMR) literature, the term paradigm is used in a number of ways to support very different accounts. This article aims to contribute to the ongoing dialogue about the relationship between MMR and paradigms by analyzing two main claims discussed in the literature: (a) MMR is a new paradigm and (b) MMR mixes different…
Descriptors: Mixed Methods Research, Epistemology, Models, Research Design