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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
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Pelánek, Radek – Educational Technology Research and Development, 2020
Adaptive learning systems need large pools of examples for practice--thousands of items that need to be organized into hundreds of knowledge components within a domain model. Domain modeling and closely related student modeling are intensively studied in research studies. However, there is a gap between research studies and practical issues faced…
Descriptors: Educational Technology, Knowledge Management, Models, Multidimensional Scaling
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Sternberg, Robert J. – Journal of Creative Behavior, 2020
Creativity testing as it is now done is often based on a defective assumption that different kinds of creativity can be compressed into a single unidimensional scale. There is no reason to believe that the different kinds of creativity represent, simply, different amounts of a single unidimensional construct. The article shows how three different…
Descriptors: Creativity Tests, Test Validity, Misconceptions, Models
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Kersting, Nicole B.; Smith, James E.; Vezino, Beau; Chen, Mei-Kuang; Wood, Marcy B.; Stigler, James W. – ZDM: The International Journal on Mathematics Education, 2020
In this article we propose the use of Bayesian networks as a potentially promising way to model usable knowledge. Using the Classroom Video Analysis (CVA and CVA-M) assessments as a lab model for studying teachers' usable knowledge, we first explored whether we can identify the knowledge (pieces) underlying teachers' written responses. In the CVA…
Descriptors: Bayesian Statistics, Affordances, Models, Teacher Characteristics
Sonu Jose – ProQuest LLC, 2020
Bayesian network is a probabilistic graphical model that has wide applications in various domains due to its peculiarity of knowledge representation and reasoning under uncertainty. This research aims at Bayesian network structure learning and how the learned model can be used for reasoning. Learning the structure of Bayesian network from data is…
Descriptors: Bayesian Statistics, Models, Simulation, Algorithms
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Cuperman, Dan; Verner, Igor M. – Journal of Science Education and Technology, 2019
This article considers student analogical reasoning associated with learning practice in creating bio-inspired robots. The study was in the framework of an outreach course for middle school students. Fifty eighth and ninth graders performed inquiries into behavior and locomotion of snakes and designed robotic models using the BIOLOID robot…
Descriptors: Logical Thinking, Robotics, Models, Biological Sciences
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Nelson, Mark Ian – International Journal of Mathematical Education in Science and Technology, 2021
A textbook model of a contagious disease, the dynamics of which are represented by the SIS epidemic model with saturating treatment, is considered. I show that this model, as originally formulated, is not dimensionally consistent. The model can be fixed by including a dimensional constant [alpha] of value one (with units individuals[superscript…
Descriptors: Textbooks, Models, Communicable Diseases, Epidemiology
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Dragos-Georgian Corlatescu; Micah Watanabe; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2024
Modeling reading comprehension processes is a critical task for Learning Analytics, as accurate models of the reading process can be used to match students to texts, identify appropriate interventions, and predict learning outcomes. This paper introduces an improved version of the Automated Model of Comprehension, namely version 4.0. AMoC has its…
Descriptors: Computer Software, Artificial Intelligence, Learning Analytics, Natural Language Processing
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Emil Eidin; Tom Bielik; Israel Touitou; Jonathan Bowers; Cynthia McIntyre; Dan Damelin; Joseph Krajcik – Journal of Science Education and Technology, 2024
Understanding the world around us is a growing necessity for the whole public, as citizens are required to make informed decisions in their everyday lives about complex issues. Systems thinking (ST) is a promising approach for developing solutions to various problems that society faces and has been acknowledged as a crosscutting concept that…
Descriptors: Chemistry, Science Instruction, High School Students, Educational Technology
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Helen Burns – Pedagogy, Culture and Society, 2024
This paper presents a theoretical exploration of the relationship between imagination, cognition and metacognition, conceptualised within "emergent models." These models are offered to enable dialogue and tools to understand and support imagination in education practice, through the presence of ever-transforming theory, conceived as…
Descriptors: Imagination, Metacognition, Cognitive Processes, Correlation
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Alonso Ogueda-Oliva; Padmanabhan Seshaiyer – International Journal of Mathematical Education in Science and Technology, 2024
In this paper, we introduce novel instructional approaches to engage students in using modelling with data to motivate and teach differential equations. Specifically, we introduce a pedagogical framework that will execute instructional modules to teach different solution techniques for differential equations through repositories and notebook…
Descriptors: Mathematical Models, Equations (Mathematics), Mathematics Instruction, Learning Modules
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Mohammed Aboramadan; Julia Barbar; Wasim Alhabil; Hussam Alhalbusi – International Journal of Sustainability in Higher Education, 2024
Purpose: Building on the theories of social learning and social information processing, this paper aims to examine the effect of green servant leadership (GSL) on green voice behavior among staff working in Qatari higher education. In this relationship, the climate for green initiative (CFGI) was used to act as a mediating mechanism.…
Descriptors: Foreign Countries, College Faculty, Leadership Styles, Conservation (Environment)
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Yoonjae Noh; YoonIl Yoon; Sangjin Kim – Measurement: Interdisciplinary Research and Perspectives, 2024
The default risk, one of the main risk factors for bonds, should be measured and reflected in the bond yield. Particularly, in the case of financial companies that treat bonds as a major product, failure to properly identify and filter customers' workout status adversely affects returns. This study proposes a two-stage classification algorithm for…
Descriptors: Prediction, Classification, Accuracy, Risk
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Atle Skaftun – Theory Into Practice, 2024
Turning educational ideas into meaningful learning requires planning for uncertainty. This article presents Bakhtin's key concept of "eventness" as an essential aspect of defining dialogic space. To Bakhtin an event is something happening here and now, with a degree of open-ended uncertainty tied to what will happen next. Acknowledging…
Descriptors: Dialogs (Language), Persuasive Discourse, Teaching Methods, Perspective Taking
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Gabriela L. Schmitz; Luana E. Joras; Pablo A. Nogara; Maria Eduarda A Galiciolli; Bruna C. Piccoli; Fernanda Davila da Silva; Cláudia S. Oliveira; João B. T. Rocha – Journal of Biological Education, 2024
Proteins are essential for cell function, and their biological performance depends on three-dimensional (3D) structures. Insulin is made up of 51 amino acids and is a critical hormone involved in glycaemia regulation. In basic education, concepts involving proteins (synthesis, structure, interactions, and function) are abstract and difficult for…
Descriptors: Science Instruction, Grade 9, Models, Physiology
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