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Kaser, Tanja; Klingler, Severin; Schwing, Alexander G.; Gross, Markus – IEEE Transactions on Learning Technologies, 2017
Intelligent tutoring systems adapt the curriculum to the needs of the individual student. Therefore, an accurate representation and prediction of student knowledge is essential. Bayesian Knowledge Tracing (BKT) is a popular approach for student modeling. The structure of BKT models, however, makes it impossible to represent the hierarchy and…
Descriptors: Bayesian Statistics, Models, Intelligent Tutoring Systems, Networks
Morera, Yurena; León, José A.; Escudero, Inmaculada; de Vega, Manuel – Discourse Processes: A multidisciplinary journal, 2017
Continuity and discontinuity are sometimes marked in discourse by means of connectives. This study tested for the first time whether causal and concessive connectives induce expectations of emotional continuity and discontinuity, respectively. Using a novel double-task paradigm, participants first listened to an antecedent clause with a causal or…
Descriptors: Foreign Countries, Undergraduate Students, Psychology, Visual Stimuli
Ullrich, Laura D.; Murray, Matthew N. – Journal of Education Finance, 2017
"Tennessee Small School Systems v. McWherter" case led to a significant reform of the state's school finance system during 1992-1993 with the phased-in implementation of the Basic Education Program. This paper examines the impact of Tennessee's school finance reform on education spending using a complete panel of school districts from…
Descriptors: Court Litigation, State Legislation, Educational Legislation, Educational Finance
Castela, Marta; Erdfelder, Edgar – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
The recognition heuristic (RH) theory predicts that, in comparative judgment tasks, if one object is recognized and the other is not, the recognized one is chosen. The memory-state heuristic (MSH) extends the RH by assuming that choices are not affected by recognition judgments per se, but by the memory states underlying these judgments (i.e.,…
Descriptors: Memory, Heuristics, Recognition (Psychology), Hypothesis Testing
Vonk, Matthew; Bohacek, Peter; Militello, Cheryl; Iverson, Ellen – Physical Review Physics Education Research, 2017
This study focuses on student development of two important laboratory skills in the context of introductory college-level physics. The first skill, which we call model making, is the ability to analyze a phenomenon in a way that produces a quantitative multimodal model. The second skill, which we call model breaking, is the ability to critically…
Descriptors: Models, Design, Video Technology, College Science
Rellensmann, Johanna; Schukajlow, Stanislaw; Leopold, Claudia – Educational Studies in Mathematics, 2017
Drawing strategies are widely used as a powerful tool for promoting students' learning and problem solving. In this article, we report the results of an inferential mediation analysis that was applied to investigate the roles that strategic knowledge about drawing and the accuracy of different types of drawings play in mathematical modelling…
Descriptors: Mathematical Models, Freehand Drawing, Mathematics Instruction, Mathematics Achievement
Huang, Hung-Yu – Educational and Psychological Measurement, 2017
Mixture item response theory (IRT) models have been suggested as an efficient method of detecting the different response patterns derived from latent classes when developing a test. In testing situations, multiple latent traits measured by a battery of tests can exhibit a higher-order structure, and mixtures of latent classes may occur on…
Descriptors: Item Response Theory, Models, Bayesian Statistics, Computation
You, Sukkyung; Conley, Sharon – Educational Management Administration & Leadership, 2015
The subject of teachers' intentions to leave has recently captured the attention of researchers and practitioners. This paper reports on a study that examined the workplace predictors of teachers' intentions to leave for teachers in different career stages. Structural equation modeling was used to assess the plausibility of a conceptual model…
Descriptors: Secondary School Teachers, Models, Structural Equation Models, Predictor Variables
Van Horn, M. Lee; Jaki, Thomas; Masyn, Katherine; Howe, George; Feaster, Daniel J.; Lamont, Andrea E.; George, Melissa R. W.; Kim, Minjung – Educational and Psychological Measurement, 2015
Research increasingly emphasizes understanding differential effects. This article focuses on understanding regression mixture models, which are relatively new statistical methods for assessing differential effects by comparing results to using an interactive term in linear regression. The research questions which each model answers, their…
Descriptors: Regression (Statistics), Models, Statistical Analysis, Comparative Analysis
Fugard, Andrew J. B.; Potts, Henry W. W. – International Journal of Social Research Methodology, 2015
Thematic analysis is frequently used to analyse qualitative data in psychology, healthcare, social research and beyond. An important stage in planning a study is determining how large a sample size may be required, however current guidelines for thematic analysis are varied, ranging from around 2 to over 400 and it is unclear how to choose a value…
Descriptors: Sample Size, Research Methodology, Qualitative Research, Computation
Kavgaoglu, Derya; Alci, Bülent – Educational Research and Reviews, 2016
The goal of this research which was carried out in reputable dedicated call centres within the Turkish telecommunication sector aims is to evaluate competence-based curriculums designed by means of internal funding through Stufflebeam's context, input, process, product (CIPP) model. In the research, a general scanning pattern in the scope of…
Descriptors: Foreign Countries, Evaluation Methods, Models, Curriculum Evaluation
Smedema, Susan Miller; Kesselmayer, Rachel Friefeld; Peterson, Lauren – Rehabilitation Research, Policy, and Education, 2018
Purpose: To test a meditation model of the relationship between core self-evaluations (CSE) and job satisfaction in employed individuals with disabilities. Method: A quantitative descriptive design using Hayes's (2012) PROCESS macro for SPSS and multiple regression analysis. Two-hundred fifty-nine employed persons with disabilities were recruited…
Descriptors: Self Evaluation (Individuals), Job Satisfaction, Employees, Disabilities
Richards, K. Andrew R.; Gaudreault, Karen Lux; Woods, Amelia Mays – Journal of Teaching in Physical Education, 2018
Purpose: This study sought to develop a quantitative understanding of factors that reduce perceived isolation and marginalization among physical educators. A conceptual model for the relationships among study variables was developed. Method: Data were collected through an online survey completed by 419 inservice physical educators (210 females,…
Descriptors: Physical Education, Statistical Analysis, Socialization, Professional Isolation
Zhang, Zhidong – International Education Studies, 2018
This study explored a diagnostic assessment method that emphasized the cognitive process of algebra learning. The study utilized a design and a theory-driven model to examine the content knowledge. Using the theory driven model, the thinking skills of algebra learning was also examined. A Bayesian network model was applied to represent the theory…
Descriptors: Algebra, Bayesian Statistics, Scores, Mathematics Achievement
Leckie, George – Journal of Educational and Behavioral Statistics, 2018
The traditional approach to estimating the consistency of school effects across subject areas and the stability of school effects across time is to fit separate value-added multilevel models to each subject or cohort and to correlate the resulting empirical Bayes predictions. We show that this gives biased correlations and these biases cannot be…
Descriptors: Value Added Models, Reliability, Statistical Bias, Computation

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