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Shi Pu; Yu Yan; Brandon Zhang – Journal of Educational Data Mining, 2024
We propose a novel model, Wide & Deep Item Response Theory (Wide & Deep IRT), to predict the correctness of students' responses to questions using historical clickstream data. This model combines the strengths of conventional Item Response Theory (IRT) models and Wide & Deep Learning for Recommender Systems. By leveraging clickstream…
Descriptors: Prediction, Success, Data Analysis, Learning Analytics
Montague, Marjorie; Krawec, Jennifer; Enders, Craig; Dietz, Samantha – Journal of Educational Psychology, 2014
The effects of a mathematical problem-solving intervention on students' problem-solving performance and math achievement were measured in a randomized control trial with 1,059 7th-grade students. The intervention, "Solve It!," is a research-based cognitive strategy instructional intervention that was shown to improve the problem-solving…
Descriptors: Middle School Students, Secondary School Mathematics, Mathematics Skills, Problem Solving
Makel, Matthew C.; Lee, Seon-Young; Olszewki-Kubilius, Paula; Putallaz, Martha – Journal of Educational Psychology, 2012
Big-fish-little-pond effect (BFLPE) research (e.g., Marsh & Parker, 1984) has found that perceptions of academic ability are generally positively related to individual ability and negatively related to classroom and school average ability. However, BFLPE research typically relies on environmental differences as a between-subjects factor. Unlike…
Descriptors: Academic Ability, Academic Aspiration, Educational Environment, Self Concept

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