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Kristabel Stark; Tara Johnston; Alexandra Shelton; Jade Wexler; Karen Omohundro – Reading & Writing Quarterly, 2025
Students' literacy development in middle school has important implications for their academic trajectories, both in high school and beyond. In this paper, we present a systematic response analysis of sixth grade students' attempts to generate the main idea of short sections of text. We describe patterns that emerged from our analysis of main idea…
Descriptors: Middle School Students, Reading Comprehension, Reading Strategies, Reading Instruction
Conradty, C.; Bogner, F. X. – Educational Studies, 2012
Our study focuses on the correlation of concept map (CMap) structures and learning success tested with short answer tests, taking into particular account the complexity of the subject matter. Novice sixth grade students created CMaps about two subject matters of varying difficulty. The correlation of the complexity of CMaps with the post-test was…
Descriptors: Concept Mapping, Cognitive Structures, Grade 6, Correlation
Yen, Shu Jing; Ochieng, Charles; Michaels, Hillary; Friedman, Greg – Online Submission, 2005
The main purpose of this study was to illustrate a polytomous IRT-based linking procedure that adjusts for rater variations. Test scores from two administrations of a statewide reading assessment were used. An anchor set of Year 1 students' constructed responses were rescored by Year 2 raters. To adjust for year-to-year rater variation in IRT…
Descriptors: Test Items, Measures (Individuals), Grade 8, Item Response Theory
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

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