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Gruver, Nate; Malik, Ali; Capoor, Brahm; Piech, Chris; Stevens, Mitchell L.; Paepcke, Andreas – International Educational Data Mining Society, 2019
Understanding large-scale patterns in student course enrollment is a problem of great interest to university administrators and educational researchers. Yet important decisions are often made without a good quantitative framework of the process underlying student choices. We propose a probabilistic approach to modelling course enrollment…
Descriptors: Models, Course Selection (Students), Enrollment, Decision Making
Convergence, Admissibility, and Fit of Alternative Confirmatory Factor Analysis Models for MTMM Data
Lance, Charles E.; Fan, Yi – Educational and Psychological Measurement, 2016
We compared six different analytic models for multitrait-multimethod (MTMM) data in terms of convergence, admissibility, and model fit to 258 samples of previously reported data. Two well-known models, the correlated trait-correlated method (CTCM) and the correlated trait-correlated uniqueness (CTCU) models, were fit for reference purposes in…
Descriptors: Multitrait Multimethod Techniques, Factor Analysis, Models, Goodness of Fit
Schoenherr, Jordan Richard; Williams-Jones, Bryn – Canadian Journal of Higher Education, 2016
Academic institutions and research funders have in the last decade devoted considerable effort to developing policies to support academic integrity and prevent misconduct. In this study, we consider the extent to which various initiatives of Canadian federal and provincial (Québec) funders have affected the development of institutional research…
Descriptors: Integrity, Foreign Countries, Higher Education, Research
Hancock-Niemic, Mary A.; Lin, Lijia; Atkinson, Robert K.; Renkl, Alexander; Wittwer, Joerg – Educational Technology Research and Development, 2016
The purpose of the study was to investigate the efficacy of using faded worked examples presented in matrices with problem structure variability to enhance learners' ability to recognize the underlying structure of the problems. Specifically, this study compared the effects of matrix-format versus linear-format faded worked examples combined with…
Descriptors: Instructional Effectiveness, Matrices, Models, Comparative Analysis
Desjardins, Christopher David – Journal of Experimental Education, 2016
The purpose of this article is to develop a statistical model that best explains variability in the number of school days suspended. Number of school days suspended is a count variable that may be zero-inflated and overdispersed relative to a Poisson model. Four models were examined: Poisson, negative binomial, Poisson hurdle, and negative…
Descriptors: Suspension, Statistical Analysis, Models, Data
Harvey, Stephen; Pill, Shane – Journal of Teaching in Physical Education, 2016
Research commentary suggests the utilization of Tactical Games Models (TGMs) only exists in isolated instances, particularly where teachers demonstrate true fidelity to these models. In contrast, many academics have adopted TGMs into their courses. Consequently, the purpose of this study was to investigate reasons for this disparity. Participants…
Descriptors: Comparative Analysis, Teacher Attitudes, Physical Education, Physical Education Teachers
Rodés, Virginia; Gewerc, Adriana – Journal of Interactive Media in Education, 2021
A conceptual model on OER adoption is presented, as the substantive theoretical synthesis of a Grounded Theory study, whose purpose was to identify which factors influence the adoption of OER among teachers in Latin American universities. Main theoretical-methodological bases are rooted and analised, in comparison with the traditional approach…
Descriptors: Grounded Theory, Professional Identity, Universities, College Faculty
Sinclair, Jeanne; Jang, Eunice Eunhee; Rudzicz, Frank – Journal of Educational Psychology, 2021
Advances in machine learning (ML) are poised to contribute to our understanding of the linguistic processes associated with successful reading comprehension, which is a critical aspect of children's educational success. We used ML techniques to investigate and compare associations between children's reading comprehension and 260 linguistic…
Descriptors: Prediction, Reading Comprehension, Natural Language Processing, Speech Communication
Baranova, Tatiana; Mokhorov, Dmitriy; Kobicheva, Aleksandra; Tokareva, Elena – Education Sciences, 2021
(1) Background: based on the constantly increasing requirements for modern university graduates, we have developed an educational model that allows us to introduce content and language integrated learning into classes with a multilingual approach, which will allow students to use several foreign languages in the process of professional…
Descriptors: Multilingualism, Content and Language Integrated Learning, Spanish, Second Language Learning
Kannikar, Phudit; Wannapiroon, Panita; Nilsook, Prachyanun – International Education Studies, 2022
The objective of this study is to develop and evaluate a multicultural competency training model for digital publicists. It is research and development which the researchers have divided the research process into 3 steps. Step 1: Developing a multicultural competency training model for digital publicists. Step 2: Evaluating the suitability of the…
Descriptors: Cultural Awareness, Public Relations, Models, Competence
Harris, Bryn; Sullivan, Amanda L. – Journal of Educational & Psychological Consultation, 2017
Bilingual students comprise a substantial and growing proportion of U.S. school enrollment and often experience unsatisfactory school outcomes attributed to limited opportunities to learn. Bilingual consultants have the unique opportunity to shape school psychological services and general education supports for all bilingual students by working…
Descriptors: Consultation Programs, Bilingual Students, English Language Learners, Models
Barbero, Basilio Ramos; Pedrosa, Carlos Melgosa; Samperio, Raúl Zamora – International Journal of Technology and Design Education, 2017
The ease with which 3D CAD models may be modified and reused are two key aspects that improve the design-intent variable and that can significantly shorten the development timelines of a product. A set of rules are gathered from various authors that take different 3D modelling strategies into account. These rules are then applied to CAD…
Descriptors: Foreign Countries, Computer Assisted Instruction, Models, Design
Siebert-Evenstone, Amanda L.; Irgens, Golnaz Arastoopour; Collier, Wesley; Swiecki, Zachari; Ruis, Andrew R.; Shaffer, David Williamson – Journal of Learning Analytics, 2017
Analyses of learning based on student discourse need to account not only for the content of the utterances but also for the ways in which students make connections across turns of talk. This requires segmentation of discourse data to define when connections are likely to be meaningful. In this paper, we present an approach to segmenting data for…
Descriptors: Semantics, Discourse Analysis, Models, Epistemology
Do Adaptive Representations of the Item-Position Effect in APM Improve Model Fit? A Simulation Study
Zeller, Florian; Krampen, Dorothea; Reiß, Siegbert; Schweizer, Karl – Educational and Psychological Measurement, 2017
The item-position effect describes how an item's position within a test, that is, the number of previous completed items, affects the response to this item. Previously, this effect was represented by constraints reflecting simple courses, for example, a linear increase. Due to the inflexibility of these representations our aim was to examine…
Descriptors: Goodness of Fit, Simulation, Factor Analysis, Intelligence Tests
Yavuz, Guler; Hambleton, Ronald K. – Educational and Psychological Measurement, 2017
Application of MIRT modeling procedures is dependent on the quality of parameter estimates provided by the estimation software and techniques used. This study investigated model parameter recovery of two popular MIRT packages, BMIRT and flexMIRT, under some common measurement conditions. These packages were specifically selected to investigate the…
Descriptors: Item Response Theory, Models, Comparative Analysis, Computer Software

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