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Cecilia Mezzanotte; Claire Calvel – OECD Publishing, 2023
Calls for increased monitoring and evaluation of education policies and practices have not, so far, included widespread and consistent assessments of the inclusiveness of education settings. Measuring inclusion in education has proven to be a challenging exercise, due not only to the complexity and different uses of the concept, but also to its…
Descriptors: Educational Indicators, Inclusion, Educational Policy, Equal Education
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Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
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Kenna, Ralph; Berche, Bertrand – Higher Education Management and Policy, 2012
Smaller universities may produce research which is on a par with larger, elite establishments. This is confirmed by a recently developed mathematical model, supported by data from British and French higher education research-evaluation exercises. The detailed nature of the UK system, in particular, allows quantification of the notion of critical…
Descriptors: Foreign Countries, Higher Education, Mathematical Models, Research Universities
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Krueger, Alan B.; Schkade, David – Journal of Human Resources, 2008
This paper tests a central implication of the theory of equalizing differences, that workers sort into jobs with different attributes based on their preferences. We present evidence from four new time-use data sets for the United States and France suggesting that workers who are more gregarious, as revealed by their behavior when they are not…
Descriptors: Job Satisfaction, Labor Market, Foreign Countries, Career Choice
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