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Khasianov, Airat; Shakhova, Irina – International Association for Development of the Information Society, 2017
In this paper we study a new model of mobile learning for the Unified State Exam ("USE") preparation in Russian Federation. "USE"--is the test school graduates need to pass in order to obtain Russian matura. In recent years the efforts teachers put for preparation of their students to the "USE" diminish how well the…
Descriptors: High School Students, Electronic Learning, Models, Test Preparation
Terrier, Camille – Centre for Economic Performance, 2015
This paper tests if gender-discrimination in grading affects pupils' achievements and course choices. I use a unique dataset containing grades given by teachers, scores obtained anonymously by pupils at different ages, and their course choice during high school. Based on double-differences, the identification of the gender bias in grades suggests…
Descriptors: Gender Discrimination, Gender Bias, Grades (Scholastic), Grading
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Varela, Otmar E.; Cater, John James, III; Michel, Norbert – Human Resource Development Quarterly, 2011
This study tests a process model of learning in which trainer and trainee traits are simultaneously considered as endogenous variables of learning outcomes. The article builds on a social view of training and similarity-attraction paradigms. In this context, the authors hypothesize that trainer-trainee similarity in personality (agreeableness)…
Descriptors: Evidence, Undergraduate Students, Personality Traits, Interpersonal Attraction
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Bartolucci, Francesco – Psychometrika, 2007
We illustrate a class of multidimensional item response theory models in which the items are allowed to have different discriminating power and the latent traits are represented through a vector having a discrete distribution. We also show how the hypothesis of unidimensionality may be tested against a specific bidimensional alternative by using a…
Descriptors: Simulation, National Competency Tests, Item Response Theory, Models
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection