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Becica, Jirí; Vavrek, Roman – Education Sciences, 2021
Quality is currently an often-used term in all areas of human activity. However, the measurement of quality is very problematic in the field of education, particularly if no specific, comprehensible criteria for its measurement, accepted by most subjects active in the specific sector, exist. Monitoring quality in the field of education is…
Descriptors: Foreign Countries, Universities, Educational Quality, Educational Assessment
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Shero, Jeffrey A.; Al Otaiba, Stephanie; Schatschneider, Chris; Hart, Sara A. – Journal of Experimental Education, 2022
Many of the analytical models commonly used in educational research often aim to maximize explained variance and identify variable importance within models. These models are useful for understanding general ideas and trends, but give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method rooted in…
Descriptors: Data Analysis, Educational Research, Nonparametric Statistics, Efficiency
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Gagliardi, Annie; Feldman, Naomi H.; Lidz, Jeffrey – Cognitive Science, 2017
Children acquiring languages with noun classes (grammatical gender) have ample statistical information available that characterizes the distribution of nouns into these classes, but their use of this information to classify novel nouns differs from the predictions made by an optimal Bayesian classifier. We use rational analysis to investigate the…
Descriptors: Children, Statistics, Learning, Bayesian Statistics
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Roth, Jodie L.; Brooks-Gunn, Jeanne – Applied Developmental Science, 2016
Advances in theories of adolescent development and positive youth development have greatly increased our understanding of how programs and practices with adolescents can impede or enhance their development. In this article the authors reflect on the progress in research on youth development programs in the last two decades, since possibly the…
Descriptors: Program Evaluation, Youth Programs, Adolescent Development, Educational Research
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Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
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Bahreini, Kiavash; Nadolski, Rob; Westera, Wim – Education and Information Technologies, 2016
This paper presents the voice emotion recognition part of the FILTWAM framework for real-time emotion recognition in affective e-learning settings. FILTWAM (Framework for Improving Learning Through Webcams And Microphones) intends to offer timely and appropriate online feedback based upon learner's vocal intonations and facial expressions in order…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Recognition (Psychology)