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Seyum Getenet – Mathematics Education Research Journal, 2024
Students' prior achievements in school have significant correlations with their later achievements. Specifically, students' prior numeracy achievement is the most important predictor of later numeracy success. However, the assessment of this predictor across gender and its trend across students' year levels is often overlooked or not adequately…
Descriptors: Numeracy, Mathematics Achievement, Gender Differences, Instructional Program Divisions
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Barbieri, Christina Areizaga; Booth, Julie L.; Chawla, Kamal – Educational Psychology, 2023
The current study assessed whether adding worked examples with self-explanation prompts focused on making connections between mathematical principles, procedures, and concepts of rational numbers to a curriculum focused on invented strategies improves pre-algebra students' fraction number line acuity, rational number concepts and procedures.…
Descriptors: Fractions, Mathematics Instruction, Teaching Methods, Algebra
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Bråten, Ivar; Johansen, Roy-Petter; Strømsø, Helge I. – Journal of Research in Reading, 2017
This study compared the effects of two brief prereading instructional practices--hands-on activities and prior knowledge activation--on sixth-graders' intrinsic motivation for reading a text and reading comprehension. Both hands-on activities and prior knowledge activation substantially improved reading comprehension relative to a control…
Descriptors: Teaching Methods, Reading Instruction, Prior Learning, Metacognition
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