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Rosenblum, L. Penny; Zebehazy, Kim T.; Gage, Nicholas A.; Beal, Carole R. – Grantee Submission, 2021
Introduction: Developing graphicacy skills is important for students with visual impairments if they are to succeed in science, technology, engineering, and mathematics (STEM) content. Teachers of students with visual impairments report that they lack resources to use in teaching students graphicacy skills. Methods: Forty-one students with visual…
Descriptors: Algebra, Data Interpretation, Visual Aids, Visual Impairments
Rosenblum, L. Penny; Zebehazy, Kim T.; Gage, Nicholas A.; Beal, Carole R. – Journal of Visual Impairment & Blindness, 2021
Introduction: Developing graphicacy skills is important for students with visual impairments if they are to succeed in science, technology, engineering, and mathematics (STEM) content. Teachers of students with visual impairments report that they lack resources to use in teaching students graphicacy skills. Methods: Forty-one students with visual…
Descriptors: Algebra, Data Interpretation, Visual Aids, Visual Impairments
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Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
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Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
Chingos, Matthew M. – Brookings Institution, 2013
College completion rates in the U.S. are stubbornly low despite the large and rising returns to a college degree. Efforts to increase student success in college have largely ignored a potentially key factor: the instruction that students receive in the sequence of courses that add up to a college education. Improving the quality of instruction may…
Descriptors: Academic Achievement, Algebra, Exit Examinations, Comparative Testing
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Hong, Guanglei; Nomi, Takako – Journal of Research on Educational Effectiveness, 2012
The conventional approaches to mediation analysis such as path analysis and structural equation modeling typically involve specifying two structural models, one for the mediator and the other for the outcome. We employ an alternative approach that avoids some strong identification assumptions invoked by the conventional approaches. By applying a…
Descriptors: Evaluation Methods, Path Analysis, Structural Equation Models, Outcomes of Education
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Warren, Elizabeth; Cooper, Tom – Educational Studies in Mathematics, 2008
A common approach used for introducing algebra to young adolescents is an exploration of visual growth patterns and expressing these patterns as functions and algebraic expressions. Past research has indicated that many adolescents experience difficulties with this approach. This paper explores teaching actions and thinking that begins to bridge…
Descriptors: Age, Children, Algebra, Data Interpretation