NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 260 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
David Rutkowski; Leslie Rutkowski; Greg Thompson; Yusuf Canbolat – Large-scale Assessments in Education, 2024
This paper scrutinizes the increasing trend of using international large-scale assessment (ILSA) data for causal inferences in educational research, arguing that such inferences are often tenuous. We explore the complexities of causality within ILSAs, highlighting the methodological constraints that challenge the validity of causal claims derived…
Descriptors: International Assessment, Data Use, Causal Models, Educational Research
Peer reviewed Peer reviewed
Direct linkDirect link
Hoover, Wesley A.; Tunmer, William E. – Reading Research Quarterly, 2022
A recent article in this journal claims that the simple view of reading represents a long-outdated account of what underlies the ability to read. Its authors argue that if teachers are to be better informed about what is known about reading then the simple view must be replaced by a more current model, one that captures the substantial progress…
Descriptors: Reading Research, Reading Skills, Models, Misconceptions
Peer reviewed Peer reviewed
Direct linkDirect link
Daniel Murphy; Sarah Quesen; Matthew Brunetti; Quintin Love – Educational Measurement: Issues and Practice, 2024
Categorical growth models describe examinee growth in terms of performance-level category transitions, which implies that some percentage of examinees will be misclassified. This paper introduces a new procedure for estimating the classification accuracy of categorical growth models, based on Rudner's classification accuracy index for item…
Descriptors: Classification, Growth Models, Accuracy, Performance Based Assessment
Child, Simon; Shaw, Stuart – Research Matters, 2023
This article provides a conceptual framework for considering both the theoretical and methodological factors that underpin the successful validation of a competency framework. Drawing on educational assessment literature, this article argues that a valid competency framework relates to an interpretive judgement of the credibility of the claims…
Descriptors: Competence, Validity, Accuracy, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Weber, Keith; Tanswell, Fenner Stanley – Educational Studies in Mathematics, 2022
In mathematics education research, proofs are often conceptualized as sequences of mathematical assertions. We argue that this ignores proofs that contain instructions to perform mathematical actions, often in the form of imperatives, which are common both in mathematical practice and in undergraduate mathematics textbooks. We consider in detail a…
Descriptors: Validity, Mathematical Logic, Mathematics Instruction, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Gmaj, Iwona; Fijalkowska, Barbara – European Journal of Education, 2021
This article showcases the Polish validation system through the lens of Critical Discourse Analysis and two models of lifelong learning--the economic and humanistic one, treated as competitive narratives on lifelong learning. We argue that some contradictions can be observed, generated by a clash between the two approaches, as the validation…
Descriptors: Foreign Countries, Lifelong Learning, Critical Theory, Discourse Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Badrinath, Anirudhan; Wang, Frederic; Pardos, Zachary – International Educational Data Mining Society, 2021
Bayesian Knowledge Tracing, a model used for cognitive mastery estimation, has been a hallmark of adaptive learning research and an integral component of deployed intelligent tutoring systems (ITS). In this paper, we provide a brief history of knowledge tracing model research and introduce pyBKT, an accessible and computationally efficient library…
Descriptors: Models, Markov Processes, Mathematics, Intelligent Tutoring Systems
Peer reviewed Peer reviewed
Direct linkDirect link
Litwin, Piotr; Milkowski, Marcin – Cognitive Science, 2020
Predictive processing (PP) has been repeatedly presented as a unificatory account of perception, action, and cognition. In this paper, we argue that this is premature: As a unifying theory, PP fails to deliver general, simple, homogeneous, and systematic explanations. By examining its current trajectory of development, we conclude that PP remains…
Descriptors: Prediction, Cognitive Processes, Epistemology, Theories
Peer reviewed Peer reviewed
Direct linkDirect link
Czocher, Jennifer A.; Weber, Keith – Journal for Research in Mathematics Education, 2020
To design and improve instruction in mathematical proof, mathematics educators require an adequate definition of proof that is faithful to mathematical practice and relevant to pedagogical situations. In both mathematics education and the philosophy of mathematics, mathematical proof is typically defined as a type of justification that satisfies a…
Descriptors: Mathematics Instruction, Validity, Mathematical Logic, Definitions
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Krenzke, Tom; Mohadjer, Leyla; Li, Jianzhu; Erciulescu, Andreea; Fay, Robert; Ren, Weijia; Van de Kerckhove, Wendy; Li, Lin; Rao, J. N. K. – National Center for Education Statistics, 2020
The Program for the International Assessment of Adult Competencies (PIAAC) is a multicycle survey of adult skills and competencies sponsored by the Organization for Economic Cooperation and Development (OECD). The survey examines a range of basic skills in the information age and assesses these adult skills consistently across participating…
Descriptors: Adults, Surveys, Statistical Analysis, Computation
Peer reviewed Peer reviewed
Direct linkDirect link
Umair Ali Khan; Janne Kauttonen; Lili Aunimo; Ari Alamäki – Journal of Information Technology Education: Research, 2024
Aim/Purpose: The purpose of this paper is to address the challenges posed by disinformation in an educational context. The paper aims to review existing information assessment techniques, highlight their limitations, and propose a conceptual design for a multimodal, explainable information assessment system for higher education. The ultimate goal…
Descriptors: Artificial Intelligence, Higher Education, Trust (Psychology), Barriers
Peer reviewed Peer reviewed
PDF on ERIC Download full text
González, Antonio; Gavilán-Izquierdo, José María; Gallego-Sánchez, Inés; Puertas, María Luz – Journal on Mathematics Education, 2022
The need to develop consistent theoretical frameworks for the teaching and learning of discrete mathematics, specifically of graph theory, has attracted the attention of the researchers in mathematics education. Responding to this demand, the scope of the Van Hiele model has been extended to the field of graphs through a proposal of four levels of…
Descriptors: Graphs, Validity, Mathematics Instruction, Geometry
Peer reviewed Peer reviewed
Direct linkDirect link
Alastair D. Smith – Science & Education, 2025
Immersive virtual reality (VR) carries important potential, both for the creation of scientific knowledge and also for its communication. This is particularly important for studies of human spatial cognition, where psychologists now possess the power to combine the scale and fidelity of the real world with the malleability and control of the…
Descriptors: Computer Simulation, Spatial Ability, Cognitive Processes, Influence of Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Guyon, Hervé; Tensaout, Mouloud – Measurement: Interdisciplinary Research and Perspectives, 2016
In this article, the authors extend the results of Aguirre-Urreta, Rönkkö, and Marakas (2016) concerning the omission of a relevant causal indicator by testing the validity of the assumption that causal indicators are entirely superfluous to the measurement model and discuss the implications for measurement theory. Contrary to common wisdom…
Descriptors: Causal Models, Structural Equation Models, Formative Evaluation, Measurement
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  18