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Chiu, Ming Ming – Journal of Learning Analytics, 2018
Learning analysts often consider whether learning processes across time are related (1) to one another or (2) to learning outcomes at higher levels. For example, are a group's temporal sequences of talk (e.g., correct evaluation [right arrow] correct, new idea) during its problem solving related to its group solution? I show how to address these…
Descriptors: Statistical Analysis, Models, Data Analysis, Regression (Statistics)
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Knekta, Eva – Scandinavian Journal of Educational Research, 2017
This study investigated changes in reported test-taking motivation from a low-stakes to a high-stakes test and if there are differences in reported test-taking motivation between school classes. A questionnaire including scales assessing reported effort, expectancies, perceived importance, interest, and test anxiety was administered to a sample of…
Descriptors: Student Motivation, Test Wiseness, Grade 9, Tests
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Long, Caroline; Wendt, Heike – African Journal of Research in Mathematics, Science and Technology Education, 2017
South Africa participated in TIMSS from 1995 to 2015. Over these two decades, some positive changes have been reported on the aggregated mathematics performance patterns of South African learners. This paper focuses on the achievement patterns of South Africa's high-performing Grade 9 learners (n = 3378) in comparison with similar subsamples of…
Descriptors: Foreign Countries, Comparative Analysis, Multiplication, Comparative Education
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Chen, Chih-Ming; Wang, Jung-Ying; Chen, Yong-Ting; Wu, Jhih-Hao – Interactive Learning Environments, 2016
To reduce effectively the reading anxiety of learners while reading English articles, a C4.5 decision tree, a widely used data mining technique, was used to develop a personalized reading anxiety prediction model (PRAPM) based on individual learners' reading annotation behavior in a collaborative digital reading annotation system (CDRAS). In…
Descriptors: Reading Strategies, Prediction, Models, Quasiexperimental Design
Lloyd, Sonya LaShawn – ProQuest LLC, 2014
Providing academic assistance to English Language Learners (ELLs) is varied and often ineffective. The purpose of this causal-comparative study was to determine if there was a relationship between 9th grade students' performance on the High School Graduation Exam (HSGE) in reading and language and the Push-in and Pull-out models of instruction.…
Descriptors: English Language Learners, Secondary School Students, Grade 9, Program Evaluation
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Osler, James Edward; Waden, Carl – Journal on School Educational Technology, 2013
This paper discusses the implementation of the Tri-Squared Test as one of many advanced statistical measures used to verify and validate the outcomes of an initial study on academic professional's perspectives on the use, success, and viability of 9th Grade Freshman Academies, Centers, and Center Models. The initial research investigation…
Descriptors: At Risk Students, Statistical Analysis, School Holding Power, Academic Achievement
Howard, Nanci Elizabeth – ProQuest LLC, 2010
This causal-comparative study investigates the differences in the End of Course Examination Program (EOCEP) test scores of ninth grade students in English I and Algebra I/Math for the technologies, as influenced by schedules used in South Carolina public high schools during the 2005-2006 academic year. Framing this study is the previous…
Descriptors: Scheduling, Research Methodology, Statistical Analysis, Grade 9
Schuchman, Matthew – ProQuest LLC, 2011
There is a deficit of male and female students entering the fields of math and science, and the need for highly educated individuals in these areas is expected to increase. While various factors may play a role in creating this deficit, there is a lack of research on one factor, that of student attitudes toward science. The theories of social…
Descriptors: Student Attitudes, Public Schools, Social Change, Data Analysis
Pardos, Zachary A.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
Researchers who make tutoring systems would like to know which sequences of educational content lead to the most effective learning by their students. The majority of data collected in many ITS systems consist of answers to a group of questions of a given skill often presented in a random sequence. Following work that identifies which items…
Descriptors: Data Analysis, Bayesian Statistics, Statistical Analysis, Problem Sets
Harris, Darcel – ProQuest LLC, 2010
Over 50% of American public school students read below average literacy levels. Recent research suggests that oral and print-based high school curriculum instruction require an infusion of electronic educational technology (EET), such as computer programs, online instruction, electronic thesaurus, and other devices, to better serve student need…
Descriptors: Electronic Learning, Student Needs, Intervention, Reading Achievement
Sanchez, Octavio – ProQuest LLC, 2010
The need to address social and economic changes has focused greater attention on our public education system and the need to better equip students with the skills needed for a global society. This quantitative study was grounded in the principles of the constructivist learning theory. The purpose of this study was to determine whether the added…
Descriptors: Magnet Schools, Program Effectiveness, Social Change, Data Analysis
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Klein, Andreas G.; Muthen, Bengt O. – Journal of Educational and Behavioral Statistics, 2006
In this article, a heterogeneous latent growth curve model for modeling heterogeneity of growth rates is proposed. The suggested model is an extension of a conventional growth curve model and a complementary tool to mixed growth modeling. It allows the modeling of heterogeneity of growth rates as a continuous function of latent initial status and…
Descriptors: Intervals, Computation, Structural Equation Models, Mathematics Achievement
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries