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Maurício Pietrocola; Samuel Schnorr; Ernani Rodrigues – Research in Science Education, 2025
Contemporary science education themes are marked by the inevitable uncertainty of consequences emerging from human actions. They encompass disasters, pandemics and other events that have been marking our present times. Understanding new risks as the ones resulting from human action, even when proposing a solution for an issue, is one of the…
Descriptors: Science Education, Risk, Futures (of Society), Ambiguity (Context)
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Lei, Wu; Qing, Fang; Zhou, Jin – International Journal of Distance Education Technologies, 2016
There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…
Descriptors: Causal Models, Attribution Theory, Correlation, Evaluation Methods
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Mair, Patrick; von Eye, Alexander – Psychological Methods, 2007
In this article, the authors have 2 aims. First, hierarchical, nonhierarchical, and nonstandard log-linear models are defined. Second, application scenarios are presented for nonhierarchical and nonstandard models, with illustrations of where these scenarios can occur. Parameters can be interpreted in regard to their formal meaning and in regard…
Descriptors: Hypothesis Testing, Causal Models, Matrices, Coding
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Miyazaki, Yasuo; Frank, Kenneth A. – Journal of Educational and Behavioral Statistics, 2006
In this article the authors develop a model that employs a factor analysis structure at Level 2 of a two-level hierarchical linear model (HLM). The model (HLM2F) imposes a structure on a deficient rank Level 2 covariance matrix [tau], and facilitates estimation of a relatively large [tau] matrix. Maximum likelihood estimators are derived via the…
Descriptors: Methods, Factor Analysis, Computation, Causal Models
Gaynor, Alan Kibbe – 1998
This book is directed toward students in organizational-theory and problem-analysis classes and their professors, as well as school administrators seeking to examine their problems and policies from new perspectives. It explains and illustrates methodology for describing, documenting, and analyzing organizational problems. Part I, "Methodology,"…
Descriptors: Accountability, Administrative Principles, Administrative Problems, Bureaucracy
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