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Sijia Huang; Seungwon Chung; Carl F. Falk – Journal of Educational Measurement, 2024
In this study, we introduced a cross-classified multidimensional nominal response model (CC-MNRM) to account for various response styles (RS) in the presence of cross-classified data. The proposed model allows slopes to vary across items and can explore impacts of observed covariates on latent constructs. We applied a recently developed variant of…
Descriptors: Response Style (Tests), Classification, Data, Models
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Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
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Best, Ryan M.; Goldstone, Robert L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Categorical perception (CP) effects manifest as faster or more accurate discrimination between objects that come from different categories compared with objects that come from the same category, controlling for the physical differences between the objects. The most popular explanations of CP effects have relied on perceptual warping causing…
Descriptors: Bias, Comparative Analysis, Models, College Students
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Rueda, Christian Jonathan Angel; Godínes, Juan Carlos Valdés; Rudman, Paul Douglas – Journal of Information Technology Education: Innovations in Practice, 2018
Aim/Purpose: This paper provides a general-purpose categorization scheme for assessing the utility of new and emerging three-dimensional interactive digital environments (3D-IDEs), along with specific pedagogic approaches that are known to work. It argues for the use of 3D-IDEs on the basis of their ludic appeal and ability to provide intrinsic…
Descriptors: Affordances, Educational Technology, Computer Simulation, Virtual Classrooms
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Karimi, Hamid; Derr, Tyler; Huang, Jiangtao; Tang, Jiliang – International Educational Data Mining Society, 2020
Online learning has attracted a large number of participants and is increasingly becoming very popular. However, the completion rates for online learning are notoriously low. Further, unlike traditional education systems, teachers, if any, are unable to comprehensively evaluate the learning gain of each student through the online learning…
Descriptors: Online Courses, Academic Achievement, Prediction, Teaching Methods
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Kollars, Nina A.; Rosen, Amanda M. – Journal of Political Science Education, 2013
Assessment through simulation is something that political science pedagogy has yet to explore in a robust manner. This article advances analysis of social science simulation and assessment by laying out a typology of active-learning activities that isolates and examines their potential for assessment. In short, we argue that there are essentially…
Descriptors: Simulation, Student Evaluation, Political Science, Active Learning
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Levinson, Nanette; Davidson, Kaitlin E. – International Journal for the Scholarship of Teaching and Learning, 2015
There has been tremendous growth both in study abroad and intercultural exchange options in the United States and also in on-line learning options in higher education. Reviewing 91 cross-cultural experiences with at least one type of formal on-line component, this paper provides an overview and categorization of these offerings as well as a…
Descriptors: Online Courses, Intercultural Communication, Study Abroad, Classification
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Rienties, Bart; Lewis, Tim; McFarlane, Ruth; Nguyen, Quan; Toetenel, Lisette – Computer Assisted Language Learning, 2018
Language education has a rich history of research and scholarship focusing on the effectiveness of learning activities and the impact these have on student behaviour and outcomes. One of the basic assumptions in foreign language pedagogy and CALL in particular is that learners want to be able to communicate effectively with native speakers of…
Descriptors: Data Analysis, Second Language Learning, Second Language Instruction, Teaching Methods
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Onibokun, Joseph; van Schaik, Paul – International Journal of Virtual and Personal Learning Environments, 2012
With over 800 million users worldwide, the global importance of Facebook as a social-networking platform is beyond doubt. This popularity, particularly among university-students, has encouraged research to explore ways in which social networking can be adapted into virtual learning environments. In particular, this study uses the think-aloud…
Descriptors: Classification, Social Networks, Psychological Needs, Protocol Analysis
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Bianchini, Kevin J.; Etherton, Joseph L.; Greve, Kevin W.; Heinly, Matthew T.; Meyers, John E. – Assessment, 2008
The purpose of this study was to determine the accuracy of "Minnesota Multiphasic Personality Inventory" 2nd edition (MMPI-2; Butcher, Dahlstrom, Graham, Tellegen, & Kaemmer, 1989) validity indicators in the detection of malingering in clinical patients with chronic pain using a hybrid clinical-known groups/simulator design. The…
Descriptors: Validity, Classification, Pain, Patients
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
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Laakso, Mikko-Jussi; Myller, Niko; Korhonen, Ari – Educational Technology & Society, 2009
In this paper, two emerging learning and teaching methods have been studied: collaboration in concert with algorithm visualization. When visualizations have been employed in collaborative learning, collaboration introduces new challenges for the visualization tools. In addition, new theories are needed to guide the development and research of the…
Descriptors: Visualization, Teaching Methods, Classification, Comparative Analysis
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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Jones, W. Paul – Measurement and Evaluation in Counseling and Development, 1993
Investigated model for reducing time for administration of Myers-Briggs Type Indicator (MBTI) using real-data simulation of Bayesian scaling in computerized adaptive administration. Findings from simulation study using data from 127 undergraduates are strongly supportive of use of Bayesian scaled computerized adaptive administration of MBTI.…
Descriptors: Bayesian Statistics, Classification, College Students, Computer Assisted Testing
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Bockenholt, Ulf; Bockenholt, Ingo – Psychometrika, 1991
A reparameterization of a latent class model is presented to classify and scale nomial and ordered categorical choice data simultaneously. The model extension represents a nonhomogeneous population as a mixture of homogeneous subpopulations. Simulated data and data from a magazine preference survey of 347 college students illustrate the model.…
Descriptors: Algorithms, Classification, College Students, Computer Simulation
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