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Haiyan Liu; Sarah Depaoli; Lydia Marvin – Structural Equation Modeling: A Multidisciplinary Journal, 2022
The deviance information criterion (DIC) is widely used to select the parsimonious, well-fitting model. We examined how priors impact model complexity (pD) and the DIC for Bayesian CFA. Study 1 compared the empirical distributions of pD and DIC under multivariate (i.e., inverse Wishart) and separation strategy (SS) priors. The former treats the…
Descriptors: Structural Equation Models, Bayesian Statistics, Goodness of Fit, Factor Analysis
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Erik-Jan van Kesteren; Daniel L. Oberski – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Structural equation modeling (SEM) is being applied to ever more complex data types and questions, often requiring extensions such as regularization or novel fitting functions. To extend SEM, researchers currently need to completely reformulate SEM and its optimization algorithm -- a challenging and time-consuming task. In this paper, we introduce…
Descriptors: Structural Equation Models, Computation, Graphs, Algorithms
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Sergey V. Bobryshov; Larisa V. Sumenko; Vladimir S. Toiskin; Olga A. Taran; Angela V. Babayan – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2022
The main purpose of this work is to substantiate the essential and semantic, structural and content, and functional understanding and explanation of the paradigm and the paradigm shift in education; also, to identify the deterministic foundations of the paradigmatic shift, the parameters of its manifestation, and the potential of riskiness in…
Descriptors: Educational Change, Causal Models, Risk, Outcomes of Education
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Raj, Gaurav; Mahajan, Manish; Singh, Dheerendra – International Journal of Web-Based Learning and Teaching Technologies, 2020
In secure web application development, the role of web services will not continue if it is not trustworthy. Retaining customers with applications is one of the major challenges if the services are not reliable and trustworthy. This article proposes a trust evaluation and decision model where the authors have defined indirect attribute, trust,…
Descriptors: Trust (Psychology), Models, Decision Making, Computer Software
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Becton, Yasha J.; Bogiages, Christopher; Currin, Elizabeth; D'Amico, Leigh; Jeffries, Rhonda; Lilly, Todd; Tamim, Suha – Impacting Education: Journal on Transforming Professional Practice, 2020
Increasingly, Ed.D. programs are challenged to produce graduates with the skills and expertise needed to create and foster change in the various educational environments in which they serve. Promoting, and more importantly, preparing the Ed.D. Activist is a theme that was addressed during the October 2019 convening of the Carnegie Project on the…
Descriptors: Graduate Students, Graduate Study, Activism, Social Justice
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Gundic, Ana; Županovic, Dino; Grbic, Luka; Baric, Mate – Education Sciences, 2020
Modern societies, new technical equipment and technology confirm the importance of knowledge acquisition in everyday life, especially in economy. An education system is a non-profit system. Since it strongly affects economic efficiency, its quantification becomes a very complex process. In order to make the quantification process possible, this…
Descriptors: Marine Education, Higher Education, Efficiency, Measurement
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Akbas-Yesilyurt, Filiz; Kocak, Huseyin; Yesilyurt, M. Ensar – International Journal of Assessment Tools in Education, 2020
In the literature, estimation results of the determinants of academic achievement are controversial. There may be several reasons for these controversial results, including sample or cultural differences. Conversely, these results may arise from ignoring certain important facts, such as an interaction effect. Some studies do not consider…
Descriptors: Academic Achievement, Models, Foreign Countries, Proximity
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Li, Ruo-Yu; Wang, Chang-Hwa – British Journal of Educational Technology, 2020
The use of smart devices as media for digital learning constitutes a new-generation digital learning paradigm. Therefore, context-aware game-based learning has attracted considerable attention. Location-based games have not only positive effects on learning but also pronounced effects on culture and history. Accordingly, focusing on railway…
Descriptors: Models, Handheld Devices, Networks, Game Based Learning
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Goddu, Mariel K.; Lombrozo, Tania; Gopnik, Alison – Child Development, 2020
Previous research suggests that preschoolers struggle with understanding abstract relations and with "reasoning by analogy." Four experiments find, in contrast, that 3- and 4-year-olds (N = 168) are surprisingly adept at relational and analogical reasoning within a causal context. In earlier studies preschoolers routinely favored images…
Descriptors: Preschool Children, Logical Thinking, Abstract Reasoning, Causal Models
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Shahbari, Juhaina Awawdeh; Tabach, Michal – Educational Studies in Mathematics, 2020
Mathematical models that are constructed through modeling activities should be appropriate for the situation at hand. In this study, we seek to monitor the modeling routes of different learners as well as their modeling sub-competencies in order to learn how these are related to the semiotic characteristics of the resulting mathematical models.…
Descriptors: Mathematical Models, Semiotics, Preservice Teachers, Mathematics Teachers
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Korchi, Adil; Dardor, Mohamed; Mabrouk, El Houssine – Education and Information Technologies, 2020
Learning techniques have proven their capacity to treat large amount of data. Most statistical learning approaches use specific size learning sets and create static models. Withal, in certain some situations such as incremental or active learning the learning process can work with only a smal amount of data. In this case, the search for algorithms…
Descriptors: Learning Analytics, Data, Computation, Mathematics
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Hartmann, Christian; van Gog, Tamara; Rummel, Nikol – Applied Cognitive Psychology, 2020
Studies on the productive failure (PF) approach have demonstrated that attempting to solve a problem prepares students more effectively for later instruction compared to observing failed problem-solving attempts prior to instruction. However, the examples of failure used in these studies did not display the problem-solving-and-failing…
Descriptors: Failure, Problem Solving, Teaching Methods, Observation
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Swan, Richard H.; Plummer, Kenneth J.; West, Richard E. – Educational Technology Research and Development, 2020
In this paper, we synthesize research on the nature and development of expertise to propose a developmental model that describes four main areas of expert knowledge: procedural, conditional, and conceptual knowledge, along with knowledge generation. We propose that these types of expert knowledge map onto and promote the development of four types…
Descriptors: Expertise, Higher Education, Models, Knowledge Level
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Simpson, Kevin; Jakubowski, Henry V. – Biochemistry and Molecular Biology Education, 2020
Enzyme-linked immunosorbent assays (ELISAs) are used widely in biotechnology, pharmaceutical, and clinical medicine labs. At the same time, they appear to be underrepresented in chemistry and biochemistry curricula, even though their sensitivity, selectivity, and ease of use would argue for their widespread use. We describe here an online ELISA…
Descriptors: Biochemistry, Science Laboratories, COVID-19, Patients
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MacWhinney, Brian – First Language, 2020
Ambridge argues persuasively for the importance in language learning of a rich database of input exemplars. However, a fuller account must also consider the importance of on-line and developmental competition between rote exemplar-based storage and emergent patterns that can optimize retrieval. [For Ben Ambridge's "Against Stored…
Descriptors: Competition, Language Acquisition, Rote Learning, Models
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