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Vermunt, Jeroen K. – Psychological Methods, 2011
Steinley and Brusco (2011) presented the results of a huge simulation study aimed at evaluating cluster recovery of mixture model clustering (MMC) both for the situation where the number of clusters is known and is unknown. They derived rather strong conclusions on the basis of this study, especially with regard to the good performance of…
Descriptors: Multivariate Analysis, Simulation, Research, Mathematics
Kalansooriya, Pradeep; Marasinghe, Ashu; Bandara, K. M. D. N. – IAFOR Journal of Education, 2015
Distance learning has provided an excellent platform for students in geographically remote locations while enabling them to learn at their own pace and convenience. A number of technologies are currently being utilized to conceptualize, design, enhance and foster distance learning. Teleconferences, electronic field trips, podcasts, webinars, video…
Descriptors: Distance Education, Educational Technology, Computer Simulation, Engineering Education
Levintova, Ekaterina M.; Mueller, Daniel W. – Canadian Journal for the Scholarship of Teaching and Learning, 2015
One of the difficulties in teaching global sustainability in the introductory political science classes is the different emphases placed on this concept and the absence of the consensus on where the overall balance between environmental protection, economic development, and social justice should reside. Like many fuzzy concepts with which students…
Descriptors: Sustainability, Simulation, Lecture Method, Economic Development
Bumbacher, Engin; Salehi, Shima; Wierzchula, Miriam; Blikstein, Paulo – International Educational Data Mining Society, 2015
Studies comparing virtual and physical manipulative environments (VME and PME) in inquiry-based science learning have mostly focused on students' learning outcomes but not on the actual processes they engage in during the learning activities. In this paper, we examined experimentation strategies in an inquiry activity and their relation to…
Descriptors: Physics, Science Instruction, College Students, Predictor Variables
Scafidi, Benjamin – Friedman Foundation for Educational Choice, 2015
To shed light on the actual impact of school choice on segregation, one has to understand the counter factual--the state of segregation under the current public education system. In the late 1960s and '70s, the trend in public school racial segregation followed the trend in neighborhood segregation. That is to say both improved as American…
Descriptors: Elementary Secondary Education, School Choice, School Segregation, Neighborhood Integration
Barbalios, N.; Ioannidou, I.; Tzionas, P.; Paraskeuopoulos, S. – Computers & Education, 2013
This paper introduces a realistic 3D model supported virtual environment for environmental education, that highlights the importance of water resource sharing by focusing on the tragedy of the commons dilemma. The proposed virtual environment entails simulations that are controlled by a multi-agent simulation model of a real ecosystem consisting…
Descriptors: Virtual Classrooms, Ecology, Environmental Education, Natural Resources
Slof, Bert; Erkens, Gijsbert; Kirschner, Paul A.; Helms-Lorenz, Michelle – Computers & Education, 2013
This study examined whether inspecting and constructing different part-task-specific visualizations differentially affects learning. To this end, a complex business-economics problem was structured into three phase-related part-tasks: (1) determining core concepts, (2) proposing multiple solutions, and (3) coming to a single solution. Each phase…
Descriptors: Group Activities, Cooperative Learning, Teamwork, Achievement Gains
Zeng, QingHua; Zhang, WeiHua; Huang, ZheZhi; Dong, RongHua – IEEE Transactions on Education, 2014
This paper describes the development of an aero control experiment apparatus (ACEA) for use in aerospace control practical courses. The ACEA incorporates a systematic multihierarchy learning and teaching method, and was designed to improve aerospace engineering students' understanding of unmanned aerial vehicle (UAV) control systems. It offers a…
Descriptors: Aerospace Education, Teaching Methods, Computer Software, Educational Technology
Zacharia, Zacharias C.; de Jong, Ton – Cognition and Instruction, 2014
This study investigates whether Virtual Manipulatives (VM) within a Physical Manipulatives (PM)-oriented curriculum affect conceptual understanding of electric circuits and related experimentation processes. A pre-post comparison study randomly assigned 194 undergraduates in an introductory physics course to one of five conditions: three…
Descriptors: Energy, Physics, Interviews, Undergraduate Students
Vrellis, Ioannis; Avouris, Nikolaos; Mikropoulos, Tassos A. – Australasian Journal of Educational Technology, 2016
Although problem-based learning (PBL) has many advantages, it often fails to connect to the real world outside the classroom. The integration with the laboratory setting and the use of information and communication technologies (ICTs) have been proposed to address this deficiency. Multi-user virtual environments (MUVEs) like Second Life (SL) are…
Descriptors: Science Activities, Outcomes of Education, Satisfaction, Problem Based Learning
Buchanan, Taylor L.; Lohse, Keith R. – Measurement in Physical Education and Exercise Science, 2016
We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…
Descriptors: Researchers, Attitudes, Statistical Significance, Bias
Wandler, Damian V. – ProQuest LLC, 2010
Generalized fiducial inference is a powerful tool for many difficult problems. Based on an extension of R. A. Fisher's work, we used generalized fiducial inference for two extreme value problems and a multiple comparison procedure. The first extreme value problem is dealing with the generalized Pareto distribution. The generalized Pareto…
Descriptors: Comparative Analysis, Probability, Inferences, Simulation
Bergner, Yoav; Droschler, Stefan; Kortemeyer, Gerd; Rayyan, Saif; Seaton, Daniel; Pritchard, David E. – International Educational Data Mining Society, 2012
We apply collaborative filtering (CF) to dichotomously scored student response data (right, wrong, or no interaction), finding optimal parameters for each student and item based on cross-validated prediction accuracy. The approach is naturally suited to comparing different models, both unidimensional and multidimensional in ability, including a…
Descriptors: Factor Analysis, Prediction, Item Response Theory, Student Reaction
MacCoun, Robert J. – Psychological Review, 2012
[Correction Notice: An erratum for this article was reported in Vol 119(2) of Psychological Review (see record 2012-06153-001). In the article, incorrect versions of figures 3 and 6 were included. Also, Table 8 should have included the following information in the table footnote "P(A V) = probability of acquittal given unanimous verdict." All…
Descriptors: Social Influences, Probability, Item Response Theory, Psychological Studies
Suh, Youngsuk; Cho, Sun-Joo; Wollack, James A. – Journal of Educational Measurement, 2012
In the presence of test speededness, the parameter estimates of item response theory models can be poorly estimated due to conditional dependencies among items, particularly for end-of-test items (i.e., speeded items). This article conducted a systematic comparison of five-item calibration procedures--a two-parameter logistic (2PL) model, a…
Descriptors: Response Style (Tests), Timed Tests, Test Items, Item Response Theory

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