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Bosch, Nigel – Journal of Educational Data Mining, 2021
Automatic machine learning (AutoML) methods automate the time-consuming, feature-engineering process so that researchers produce accurate student models more quickly and easily. In this paper, we compare two AutoML feature engineering methods in the context of the National Assessment of Educational Progress (NAEP) data mining competition. The…
Descriptors: Accuracy, Learning Analytics, Models, National Competency Tests
Noll, Jennifer; Kirin, Dana – Statistics Education Research Journal, 2017
Teaching introductory statistics using curricula focused on modeling and simulation is becoming increasingly common in introductory statistics courses and touted as a more beneficial approach for fostering students' statistical thinking. Yet, surprisingly little research has been conducted to study the impact of modeling and simulation curricula…
Descriptors: Statistics, Introductory Courses, Models, Teaching Methods
Araújo, Rafael D.; Brant-Ribeiro, Taffarel; Mendonça, Igor E. S.; Mendes, Miller M.; Dorça, Fabiano A.; Cattelan, Renan G. – Educational Technology & Society, 2017
This article presents a social and collaborative model for content enrichment in Ubiquitous Learning Environments. Designed as a loosely coupled software architecture, the proposed model was implemented and integrated into the Classroom eXperience, a multimedia capture platform for educational environments. After automatically recording a lecture…
Descriptors: Educational Technology, Technology Uses in Education, Models, Computer Software
Raykov, Tenko; Marcoulides, George A.; Lee, Chun-Lung; Chang, Chi – Educational and Psychological Measurement, 2013
This note is concerned with a latent variable modeling approach for the study of differential item functioning in a multigroup setting. A multiple-testing procedure that can be used to evaluate group differences in response probabilities on individual items is discussed. The method is readily employed when the aim is also to locate possible…
Descriptors: Test Bias, Statistical Analysis, Models, Hypothesis Testing
Peng, Chao-Ying Joanne; Long, Haiying; Abaci, Serdar – Journal of Experimental Education, 2012
Given the importance of statistical power analysis in quantitative research and the repeated emphasis on it by American Educational Research Association/American Psychological Association journals, the authors examined the reporting practice of power analysis by the quantitative studies published in 12 education/psychology journals between 2005…
Descriptors: Educational Research, Computer Software, Hypothesis Testing, Statistical Analysis
Chen, Ruey-Shin; Liu, I-Fan – Journal of Educational Computing Research, 2017
Currently, e-learning systems are being widely used in all stages of education. However, it is difficult for school administrators to accurately assess the actual usage performance of a new system, especially when an organization wishes to update the system for users from different backgrounds using new devices such as smartphones. To allow school…
Descriptors: Educational Technology, Technology Uses in Education, College Students, Student Attitudes
Broatch, Jennifer; Lohr, Sharon – Journal of Educational and Behavioral Statistics, 2012
Measuring teacher effectiveness is challenging since no direct estimate exists; teacher effectiveness can be measured only indirectly through student responses. Traditional value-added assessment (VAA) models generally attempt to estimate the value that an individual teacher adds to students' knowledge as measured by scores on successive…
Descriptors: Teacher Effectiveness, Models, Maximum Likelihood Statistics, Computation
Gomillion, David – ProQuest LLC, 2013
In information systems development, end-users have shifted in their role: from consumers of information to informants for requirements to developers of systems. This shift in the role of users has also changed how information systems are developed. Instead of systems developers creating specifications for software or end-users creating small…
Descriptors: Information Systems, Computer Software, Efficiency, Performance
Klugkist, Irene; Laudy, Olav; Hoijtink, Herbert – Psychological Methods, 2010
In this article, a Bayesian model selection approach is introduced that can select the best of a set of inequality and equality constrained hypotheses for contingency tables. The hypotheses are presented in terms of cell probabilities allowing researchers to test (in)equality constrained hypotheses in a format that is directly related to the data.…
Descriptors: Bayesian Statistics, Models, Selection, Probability
Malone, Patrick S.; Lamis, Dorian A.; Masyn, Katherine E.; Northrup, Thomas F. – Multivariate Behavioral Research, 2010
The gateway drug model is a popular conceptualization of a progression most substance users are hypothesized to follow as they try different legal and illegal drugs. Most forms of the gateway hypothesis are that "softer" drugs lead to "harder," illicit drugs. However, the gateway hypothesis has been notably difficult to…
Descriptors: Drug Use, Models, Statistical Analysis, Computer Software
Sommer, Lutz – Electronic Journal of Research in Educational Psychology, 2013
Introduction: The paper at hand examines the influence of Cognitive Style (CS) and International Experience (IE) on International Entrepreneurial Self-Efficacy (IESE) and International Entrepreneurial Intention (IEI) as well as the role of Academic Education (AE) in this context. Method: Based on a survey that was conducted among 111 students the…
Descriptors: Entrepreneurship, Cognitive Style, Academic Education, Models
Crabtree, Carlton A. – ProQuest LLC, 2010
Process models are often the basis for demonstrating improvement and compliance in software engineering organizations. A descriptive model is a type of process model describing the human activities in software development that actually occur. The purpose of a descriptive model is to provide a documented baseline for further process improvement…
Descriptors: Expertise, Employees, Computer Mediated Communication, Professional Training
Bitton, Ephrat – ProQuest LLC, 2011
This dissertation explores the use of geometric and graphical models for a variety of information search and filtering applications. These models serve to provide an intuitive understanding of the problem domains and as well as computational efficiencies to our solution approaches. We begin by considering a search and rescue scenario where both…
Descriptors: Safety, Opinions, Hypothesis Testing, Intuition
Nicholson, Jennifer; Nicholson, Darren; Valacich, Joseph S. – Journal of Information Technology Education, 2008
In today's knowledge economy, technology is utilized more than ever to deliver instructional material to the learner. Nonetheless, information may not always be presented in a manner that maximizes the learning experience, resulting in a negative impact on learning outcomes. Drawing on the Task-Technology Fit model, a research framework was…
Descriptors: Cognitive Style, Instructional Design, Computer Assisted Instruction, Instructional Materials
Berson, Ilene R.; Berson, Michael J. – Social Education, 2007
In social studies classes, there is a longstanding interest in how societies evolve and change over time. However, as stories of the past unfold, it is often difficult to identify a direct link between causes and effects, so students are forced to accept at face value the interpretations of economists, political scientists, historians,…
Descriptors: Models, Computer Simulation, Educational Technology, Social Studies
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