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Haupt, John; Ogden, Anthony C.; Rubin, Donald – Journal of Studies in International Education, 2018
This article calls for a common research model that can be replicated across institutions to systematically collect data on the impact of education abroad participation on college graduation rates. The ultimate goal of the proposed GRAD LEAP (Leveraging Education Abroad Participation for Graduation) model is to facilitate a meta-analysis yielding…
Descriptors: Graduation Rate, Study Abroad, Higher Education, Comparative Analysis
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Pramana, Edwin – Journal of Information Technology Education: Research, 2018
Aim/Purpose: This study investigates the factors that influence university students' intentions to adopt mobile learning for their learning activities. A theoretical model is developed based on prior research incorporating constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT), the Technology Acceptance Model (TAM), and…
Descriptors: Adoption (Ideas), Electronic Learning, College Students, Foreign Countries
Liu, Haiyan; Jin, Ick Hoon; Zhang, Zhiyong – Grantee Submission, 2018
Psychologists are interested in whether friends and couples share similar personalities or not. However, no statistical models are readily available to test the association between personalities and social relations in the literature. In this study, we develop a statistical model for analyzing social network data with the latent personality traits…
Descriptors: Structural Equation Models, Social Networks, Personality Traits, Statistical Analysis
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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
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Putman, Angela L. – Journal of Communication Pedagogy, 2019
While the basic content of the public speaking course has changed little, the method and manner in which these skills are taught can, and should, reflect the dynamic socio-political contexts in which we live and teach. This reflection essay addresses a struggle to keep the public speaking course relevant, innovative, and practical while also…
Descriptors: Public Speaking, Speech Instruction, Social Justice, Introductory Courses
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Bohn-Gettler, Catherine M. – Discourse Processes: A Multidisciplinary Journal, 2019
Comprehension models do not often account for the multifaceted and emotionally charged nature of reading in real-world settings. In addition, studies of how reader emotions influence comprehension often yield conflicting findings due to lack of specificity regarding the process, emotion, and task under investigation. The PET (Process, Emotion,…
Descriptors: Reading Comprehension, Psychological Patterns, Models, Influences
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Cohen-Shikora, Emily R.; Suh, Jihyun; Bugg, Julie M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
In this article, we assess an alternative account of a key experimental pattern thought to index top-down control. The list-wide proportion congruence effect is the well-documented pattern whereby the congruency effect (i.e., Stroop effect) is attenuated in lists containing mostly incongruent trials relative to lists containing mostly congruent…
Descriptors: Congruence (Psychology), Reaction Time, Color, Conflict
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Bonnett, Laura J.; White, Simon R. – Teaching Statistics: An International Journal for Teachers, 2019
We describe an activity that introduces students to population modelling, enables them to use estimates obtained from a sample to infer back to the population, and understands how the findings are translatable via penguins and their poo!
Descriptors: Mathematics Activities, Mathematical Models, Statistics, Statistical Inference
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Ma, Timmy; Komarova, Natalia L. – Cognitive Science, 2019
Learning in natural environments is often characterized by a degree of inconsistency from an input. These inconsistencies occur, for example, when learning from more than one source, or when the presence of environmental noise distorts incoming information; as a result, the task faced by the learner becomes ambiguous. In this study, we investigate…
Descriptors: Reliability, Associative Learning, Symbolic Learning, Sequential Learning
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Augurzky, Petra; Franke, Michael; Ulrich, Rolf – Cognitive Science, 2019
There is substantial support for the general idea that a formalization of comprehenders' expectations about the likely next word in a sentence helps explaining data related to online sentence processing. While much research has focused on syntactic, semantic, and discourse expectations, the present event-related potentials (ERPs) study…
Descriptors: Sentences, Expectation, Neurolinguistics, Pragmatics
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Iacoviello, Giuseppina; Bruno, Elena; Cappiello, Antonella – International Journal of Educational Management, 2019
Purpose: The purpose of this paper is to identify, through the preparation of a theoretical framework, the drivers able to highlight the relationships between universities and stakeholders in the area of higher education. It also intends to stress the importance of intellectual capital (IC) regarding its contribution to create the quality of…
Descriptors: Higher Education, Educational Quality, Stakeholders, Universities
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Sleegers, Peter – Journal of Educational Administration, 2019
Purpose: In the author's reflection on the special issue, the author will start with a brief discussion of the different theoretical, methodological and empirical contributions of the articles. In addition, the author will argue that the challenge for research on school-non-governmental organization (NGO) interactions is to move beyond the use of…
Descriptors: Partnerships in Education, Nongovernmental Organizations, Educational Change, Educational Policy
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Hallström, Jonas; Schönborn, Konrad J. – International Journal of STEM Education, 2019
This commentary expands the notion that models and modelling can be used as a basis to foster an integrated and authentic STEM education and STEM literacy. The aim is to synthesize key publications that document relationships between authenticity, models and modelling, and STEM education. The implications of the synthesis are as follows:…
Descriptors: STEM Education, Models, Literacy, Modeling (Psychology)
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Yamashiro, Amy; Shrout, Patrick E.; Vouloumanos, Athena – Journal of Cognition and Development, 2019
Eye tracking is widely used in developmental research to measure infants' looking behavior before, during, or after particular events and can provide a measure of real-time processing. However, the dynamic time course of infants' looking behaviors is rarely analyzed. Instead, eye tracking data is often averaged within a large window or is…
Descriptors: Eye Movements, Infant Behavior, Cognitive Processes, Behavior Change
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Theobald, Elli J.; Aikens, Melissa; Eddy, Sarah; Jordt, Hannah – Physical Review Physics Education Research, 2019
A common goal in discipline-based education research (DBER) is to determine how to improve student outcomes. Linear regression is a common technique used to test hypotheses about the effects of interventions on continuous outcomes (such as exam score) as well as control for student nonequivalence in quasirandom experimental designs. (In…
Descriptors: Educational Research, Regression (Statistics), Outcomes of Education, Statistical Analysis
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