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Kim, Min Kyu; Gaul, Cassandra J.; Kim, So Mi; Madathany, Reeny J. – Technology, Knowledge and Learning, 2020
While key concepts embedded within an expert's textual explanation have been considered an aspect of expert model, the complexity of textual data makes determining key concepts demanding and time consuming. To address this issue, we developed Student Mental Model Analyzer for Teaching and Learning (SMART) technology that can analyze an experts'…
Descriptors: Natural Language Processing, Educational Technology, Concept Mapping, Accuracy
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Nguyen, Anh – International Education Studies, 2020
In-service training is an integral part of an educational system as teachers always need to update their educational and professional knowledge for a more effective teaching delivery. Ensuring the effectiveness of the in-service training programmes is, however, very challenging. In this article, we introduce the use of the CIPO model, i.e.,…
Descriptors: Inservice Teacher Education, Foreign Countries, Program Effectiveness, Models
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Schalk, Lennart; Roelle, Julian; Saalbach, Henrik; Berthold, Kirsten; Stern, Elsbeth; Renkl, Alexander – Applied Cognitive Psychology, 2020
Worked examples support learning. However, if they introduce easy-to-confuse concepts or principles, specific ways of providing worked examples may influence their effectiveness. Multiple worked examples can be introduced blocked (i.e., several for the same principle) or interleaved (i.e., switching between principles), and can be sequentially or…
Descriptors: Problem Solving, Instructional Effectiveness, College Students, Teaching Methods
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Dichev, Christo; Dicheva, Darina; Irwin, Keith – International Journal of Educational Technology in Higher Education, 2020
The majority of user models in gamification are based on user's gamer personality. However, the motivations driving individuals' learning behavior differ from their motivations when playing. There is no evidence that learners' experiences in gamified activities are described by these models. Thus, an alternative model capturing learners'…
Descriptors: Game Based Learning, Educational Games, Personality Traits, Learning Motivation
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Wodtke, Geoffrey T. – Sociological Methods & Research, 2020
Social scientists are often interested in estimating the marginal effects of a time-varying treatment on an end-of-study continuous outcome. With observational data, estimating these effects is complicated by the presence of time-varying confounders affected by prior treatments, which may lead to bias in conventional regression and matching…
Descriptors: Regression (Statistics), Computation, Statistical Analysis, Statistical Bias
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Albó, Laia; Hernández-Leo, Davinia – Australasian Journal of Educational Technology, 2020
This article reports on a study about how massive open online course (MOOC)-based blended learning designs can be visually represented to facilitate their comprehension and sharing. We carried out an iterative co-creation process with different stakeholders to conceptualise a visual learning design representation model within the context of…
Descriptors: Online Courses, Blended Learning, Instructional Design, Decision Making
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Harimurti, Yudi Widagdo; Fauzan, Encik Muhammad; Purbasari, Indah; Yulianingsih, Indra – Journal of Social Studies Education Research, 2020
This study aims to discuss democracy education practice on electing members of the Village Consultative Body in the Regency of Bangkalan --Indonesia. Through this study, the authors intend to describe models by which used in electing members of the Village Consultative Body (BPD) within the Regency of Bangkalan --Indonesia as well as to explore…
Descriptors: Foreign Countries, Citizenship Education, Democracy, Participative Decision Making
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Trninic, Dragan; Kapur, Manu; Sinha, Tanmay – Cognitive Science, 2020
When teaching a novel mathematical concept, should we present learners with abstract or concrete examples? In this experiment, we conduct a critical replication and extension of a well-known study that argued for the general advantage of abstract examples (Kaminski, Sloutsky, & Heckler, 2008a). We demonstrate that theoretically motivated yet…
Descriptors: Mathematics Education, Mathematical Concepts, Mathematics Instruction, Teaching Methods
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Haigh, Neil; Withell, Andrew John – Teaching & Learning Inquiry, 2020
Research paradigms constitute views that a researcher holds about (a) the nature of reality and what they can know about it (ontology); (b) the potential influence of their existing ideas and values on what they want to know, how they try to get to know, and criteria they use to make judgments about knowledge (epistemology); and (c) appropriate…
Descriptors: Scholarship, Instruction, Learning, Educational Research
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O'Bryan, Lisa; Beier, Margaret; Salas, Eduardo – Journal of Intelligence, 2020
Researchers of team behavior have long been interested in the essential components of effective teamwork. Much existing research focuses on examining correlations between team member traits, team processes, and team outcomes, such as collective intelligence or team performance. However, these approaches are insufficient for providing insight into…
Descriptors: Intelligence, Animals, Animal Behavior, Group Behavior
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Ferguson, Sarah L.; Moore, E. Whitney G.; Hull, Darrell M. – International Journal of Behavioral Development, 2020
The present guide provides a practical guide to conducting latent profile analysis (LPA) in the Mplus software system. This guide is intended for researchers familiar with some latent variable modeling but not LPA specifically. A general procedure for conducting LPA is provided in six steps: (a) data inspection, (b) iterative evaluation of models,…
Descriptors: Statistical Analysis, Computer Software, Data Analysis, Goodness of Fit
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Kim, Su-Young; Huh, David; Zhou, Zhengyang; Mun, Eun-Young – International Journal of Behavioral Development, 2020
Latent growth models (LGMs) are an application of structural equation modeling and frequently used in developmental and clinical research to analyze change over time in longitudinal outcomes. Maximum likelihood (ML), the most common approach for estimating LGMs, can fail to converge or may produce biased estimates in complex LGMs especially in…
Descriptors: Bayesian Statistics, Maximum Likelihood Statistics, Longitudinal Studies, Models
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Andries D'Souza, Lisa – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2020
While research supports development of a growth mindset in middle level classrooms, it has not uncovered a single solution to developing such mindsets. This article presents a model supporting teachers on their journey to empower students to develop a growth mindset. Grounded in research on teaching and learning and coupled with best practices of…
Descriptors: Middle School Teachers, Goal Orientation, Teaching Methods, Best Practices
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Marcoulides, Katerina M.; Yuan, Ke-Hai – International Journal of Research & Method in Education, 2020
Multilevel structural equation models (MSEM) are typically evaluated on the basis of goodness of fit indices. A problem with these indices is that they pertain to the entire model, reflecting simultaneously the degree of fit for all levels in the model. Consequently, in cases that lack model fit, it is unclear which level model is misspecified.…
Descriptors: Goodness of Fit, Structural Equation Models, Correlation, Inferences
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Inkinen, Janna; Klager, Christopher; Juuti, Kalle; Schneider, Barbara; Salmela-Aro, Katariina; Krajcik, Joseph; Lavonen, Jari – Science Education, 2020
This study seeks to understand how different scientific practices in high school science classrooms are associated with student situational engagement. In this study, situational engagement is conceptualized as the balance between skills, interest, and challenge when the reported experiences are all high. In this study, data on situational…
Descriptors: High School Students, Learner Engagement, Science Instruction, Foreign Countries
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