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Peng Peng; Wei Wang; Marissa J. Filderman; Wenxiu Zhang; Lifeng Lin – Grantee Submission, 2023
Based on 52 studies with samples mostly from English-speaking countries, the current study used Bayesian network meta-analysis to investigate the intervention effectiveness of different reading comprehension strategy combinations on reading comprehension among students with reading difficulties in 3rd through 12th grade. We focused on commonly…
Descriptors: Reading Comprehension, Reading Strategies, Reading Difficulties, Reading Instruction
T. S. Kutaka; P. Chernyavskiy; J. Sarama; D. H. Clements – Grantee Submission, 2023
Investigators often rely on the proportion of correct responses in an assessment when describing the impact of early mathematics interventions on child outcomes. Here, we propose a shift in focus to the relative sophistication of problem-solving strategies and offer methodological guidance to researchers interested in working with strategies. We…
Descriptors: Learning Trajectories, Problem Solving, Mathematics Instruction, Early Intervention
Pavel Chernyavskiy; Traci S. Kutaka; Carson Keeter; Julie Sarama; Douglas Clements – Grantee Submission, 2024
When researchers code behavior that is undetectable or falls outside of the validated ordinal scale, the resultant outcomes often suffer from informative missingness. Incorrect analysis of such data can lead to biased arguments around efficacy and effectiveness in the context of experimental and intervention research. Here, we detail a new…
Descriptors: Bayesian Statistics, Mathematics Instruction, Learning Trajectories, Item Response Theory
Karrie A. Shogren; Valerie L. Mazzotti; Tyler A. Hicks; Sheida K. Raley; Daria Gerasimova; Jesse R. Pace; Stephen M. Kwiatek; Darcy Fredrick; Jared H. Stewart-Ginsburg; Richard Chapman; Danielle C. Wysenski – Grantee Submission, 2022
Promoting self-determination is essential to effective transition services and supports. The Goal Setting Challenge App (GSC App) was developed to deliver self-determination instruction via technology, building on the evidence-based Self-Determined Learning Model of Instruction (SDLMI). This paper presents data on goal attainment outcomes for…
Descriptors: Goal Orientation, COVID-19, Pandemics, Computer Software
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies