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Ritchotte, Jennifer A.; Matthews, Michael S.; Flowers, Claudia P. – Gifted Child Quarterly, 2014
Gifted underachievement represents a frustrating loss of potential for society. Although attempts have been made to develop interventions to reverse gifted underachievement, the theoretical underpinnings of these interventions have yet to be empirically validated. The purpose of this study was to investigate the validity of the…
Descriptors: Academically Gifted, Underachievement, Models, Middle School Students
Boyce, Steven – North American Chapter of the International Group for the Psychology of Mathematics Education, 2013
In this proposal, I introduce a method for modeling the dynamics of a sixth-grade student's accommodation of his fractions scheme to include a disembedding operation (Steffe & Olive, 2010). I will describe a three-part approach consisting of a constructivist teaching experiment, retrospective analysis, and stochastic modeling of the student's…
Descriptors: Grade 6, Fractions, Mathematics Instruction, Teaching Methods
Golden, Barry W. – ProQuest LLC, 2011
This research examined middle school student conceptions about global climate change (GCC) and the change these conceptions undergo during an argument driven instructional unit. The theoretical framework invoked for this study is the "framework theory" of conceptual change (Vosniadou, 2007a). This theory posits that students do not…
Descriptors: Evidence, Magnet Schools, Persuasive Discourse, Self Efficacy
Russell, Keith; Sibthorp, Jim – Journal of Experiential Education, 2004
Hierarchical linear modeling (HIM) is an approach used in data analysis to better understand how program outcomes are affected by the "nested" nature of data collected in many studies. An outcome can be considered variables such as an individual's self-efficacy, social skills, or more targeted outcomes such as demonstrated reading and mathematical…
Descriptors: Therapy, Data Analysis, Self Efficacy, Adventure Education
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