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Gorbunova, Tatiana N. – European Journal of Contemporary Education, 2017
The subject of the research is to build methodologies to evaluate the student knowledge by testing. The author points to the importance of feedback about the mastering level in the learning process. Testing is considered as a tool. The object of the study is to create the test system models for defence practice problems. Special attention is paid…
Descriptors: Testing, Evaluation Methods, Feedback (Response), Simulation
Khan, Fazeel; Singh, Kumar – Advances in Engineering Education, 2015
Engineers often need to predict how a part, mechanism or machine will perform in service, and this insight is typically achieved thorough computer simulations. Therefore, instruction in the creation and application of simulation models is essential for aspiring engineers. The purpose of this project was to develop a unified approach to teaching…
Descriptors: Engineering, Engineering Education, Computer Simulation, Models
Ferrando, Pere J. – Psicologica: International Journal of Methodology and Experimental Psychology, 2015
Test-retest studies for assessing stability and change are widely used in different domains and allow improved or additional individual estimates of interest to be obtained. However, if these estimates are to be validly interpreted the responses given at Time-2 must be free of retest effects, and the fulfilment of this assumption must be…
Descriptors: Item Response Theory, Evaluation Methods, Responses, Testing
Marcus, Sue M.; Stuart, Elizabeth A.; Wang, Pei; Shadish, William R.; Steiner, Peter M. – Psychological Methods, 2012
Although randomized studies have high internal validity, generalizability of the estimated causal effect from randomized clinical trials to real-world clinical or educational practice may be limited. We consider the implication of randomized assignment to treatment, as compared with choice of preferred treatment as it occurs in real-world…
Descriptors: Educational Practices, Program Effectiveness, Validity, Causal Models
Lee, Chun-Ting; Zhang, Guangjian; Edwards, Michael C. – Multivariate Behavioral Research, 2012
Exploratory factor analysis (EFA) is often conducted with ordinal data (e.g., items with 5-point responses) in the social and behavioral sciences. These ordinal variables are often treated as if they were continuous in practice. An alternative strategy is to assume that a normally distributed continuous variable underlies each ordinal variable.…
Descriptors: Personality Traits, Intervals, Monte Carlo Methods, Factor Analysis
Magis, David; Raiche, Gilles; Beland, Sebastien; Gerard, Paul – International Journal of Testing, 2011
We present an extension of the logistic regression procedure to identify dichotomous differential item functioning (DIF) in the presence of more than two groups of respondents. Starting from the usual framework of a single focal group, we propose a general approach to estimate the item response functions in each group and to test for the presence…
Descriptors: Language Skills, Identification, Foreign Countries, Evaluation Methods
Belov, Dmitry I. – Applied Psychological Measurement, 2011
This article presents the Variable Match Index (VM-Index), a new statistic for detecting answer copying. The power of the VM-Index relies on two-dimensional conditioning as well as the structure of the test. The asymptotic distribution of the VM-Index is analyzed by reduction to Poisson trials. A computational study comparing the VM-Index with the…
Descriptors: Cheating, Journal Articles, Computation, Comparative Analysis
Bouzidi, L'hadi; Jaillet, Alain – Educational Technology & Society, 2009
The excessive workload generated by the assessment of exam papers in large classes and the need to give feedback in time often constitute a rather heavy burden for teachers. The online peer assessment can contribute to reduce this workload and, possibly, to improve learning quality by assigning the assessment task to students. However, this raises…
Descriptors: Feedback (Response), Peer Evaluation, Computer Science, Engineering

Bajari, Patrick; Hortacsu, Ali – Journal of Political Economy, 2005
Recently, economists have developed methods for structural estimation of auction models. Many researchers object to these methods because they find the strict rationality assumptions to be implausible. Using bid data from first-price auction experiments, we estimate four alternative structural models: (1) risk-neutral Bayes-Nash, (2) risk-averse…
Descriptors: Computation, Bids, Models, Bayesian Statistics
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
Sampson, Demetrios G., Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2018
The aim of the 2018 International Association for Development of the Information Society (IADIS) Cognition and Exploratory Learning in the Digital Age (CELDA) conference was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There have been advances in both cognitive…
Descriptors: Learning Processes, Teaching Methods, Educational Technology, Technology Uses in Education
DeSarbo, Wayne S.; Lehmann, Donald R.; Hollman, Frances Galliano – Applied Psychological Measurement, 2004
Preference structures that underline a survey or experimental responses may systematically vary during the administration of such measurement. Maturation, learning, fatigue, and response strategy shifts may all affect the sequential elicitation of respondent preferences at different points in the survey or experiment. The consequence of this…
Descriptors: Maximum Likelihood Statistics, Response Style (Tests), Evaluation Methods, Responses
Cashin, William E.; Slawson, Hugh M. – 1977
The data and computational procedures used by the IDEA system at Kansas State University (during the 1976-77 academic year) to interpret ratings of teacher performance are described in this technical report. The computations for each of the seven parts (evaluation, course description, students' self ratings, methods, additional questions,…
Descriptors: College Faculty, College Instruction, College Students, Comparative Analysis
Cashin, William E.; Slawson, Hugh M. – 1977
The data and computational procedures used by the IDEA System during the 1977-78 academic year at Kansas State University to interpret ratings of teacher performance are described in this technical report. The computations for each of the seven parts (evaluation, course description, students' self-ratings, methods, additional questions, diagnostic…
Descriptors: College Faculty, College Instruction, College Students, Comparative Analysis
Cashin, William E.; Perrin, Bruce M. – 1978
The data and computational procedures used by the IDEA System to generate IDEA Reports from information collected on the Standard Form of the IDEA Survey Form are described in this technical report. The computations for each of the seven parts of the IDEA Report are explained. The data base used for this 1978-79 Kansas State University study…
Descriptors: College Faculty, College Instruction, College Students, Comparative Analysis
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