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Direct linkPeter Organisciak; Michele Newman; David Eby; Selcuk Acar; Denis Dumas – Grantee Submission, 2023
Purpose: Most educational assessments tend to be constructed in a close-ended format, which is easier to score consistently and more affordable. However, recent work has leveraged computation text methods from the information sciences to make open-ended measurement more effective and reliable for older students. This study asks whether such text…
Descriptors: Learning Analytics, Child Language, Semantics, Age Differences
Okumura, Taichi – Educational and Psychological Measurement, 2014
This study examined the empirical differences between the tendency to omit items and reading ability by applying tree-based item response (IRTree) models to the Japanese data of the Programme for International Student Assessment (PISA) held in 2009. For this purpose, existing IRTree models were expanded to contain predictors and to handle…
Descriptors: Foreign Countries, Item Response Theory, Test Items, Reading Ability
Chu, Man-Wai; Babenko, Oksana; Cui, Ying; Leighton, Jacqueline P. – International Journal of Testing, 2014
The study examines the role that perceptions or impressions of learning environments and assessments play in students' performance on a large-scale standardized test. Hierarchical linear modeling (HLM) was used to test aspects of the Learning Errors and Formative Feedback model to determine how much variation in students' performance was explained…
Descriptors: Hierarchical Linear Modeling, Secondary School Students, Student Attitudes, Educational Environment
Jacobo, Amber Leann – ProQuest LLC, 2012
Prior research has shown that there is a correlation between teacher characteristics (e.g., pedagogical knowledge, teacher preparation/certification) and student achievement. Current political contexts call for the utilization of student achievement data to measure the effectiveness of our education systems. A solid research base of how teacher…
Descriptors: Teacher Effectiveness, Models, Hierarchical Linear Modeling, Cognitive Ability
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
van der Werf, Greetje; Opdenakker, Marie-Christine; Kuyper, Hans – School Effectiveness and School Improvement, 2008
This article addresses whether students' achievement motivation changes over time, the relationship between changes in motivation and changes in educational attainment, and the between-school differences in these changes and their interrelationships. Also gender differences were studied. Multivariate multilevel latent growth curve analysis was…
Descriptors: Females, Educational Attainment, Achievement Need, School Effectiveness
