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Individualizing Early Math Intervention : Employing a Self-Monitoring Component
(2018-04)
Despite ample research on the effectiveness of selfregulation
interventions on improving academic performance, little
research has studied whether self-regulation interventions have an
impact on students’ self-beliefs ...
BEAs with Early Math Skills
(2018-04)
BEAs
have been successful in quickly identifying effective
interventions for increasing fluency in oral reading (Daly,
Martens, Dool, & Hintze, 1998; Dufrene & Warzak, 2007;
Jones & Wickstrom, 2002). Less research on ...
The Moduli Space of 3|2-Dimensional Complex Associative Algebras
(2018-04)
A complex associative algebra is a vector space over the complex numbers equipped with a multiplication operation. The purpose of this study was to investigate the 3|2 dimensional complex associative algebras, constructing ...
Digital Color Image Compression : With Real and Complex Artificial Neural Networks
(2018-04)
Neural networks are an exciting and evolving branch
of machine learning, but they are not limited to just
artificial intelligence. Recently, they have been used to
compress and even add digital watermarks, or
copyright ...
Efficient Erasure Reconstruction from Noisy Measurements
(2018-04)
The goal of this project is to efficiently reconstruct signals when some of the frame measurements are erased or subject to additive noise.
Application of Machine Learning to Numerical Algebraic Geometry
(2018-04)
The solution of arbitrary polynomial systems is an area of active research, and has many applications in math, science and engineering. This program, Bertini 2, builds on the success of the first Bertini program, and seeks ...
The Mathematics of Perfect n-Shuffles
(2011-05)
The purpose of this project has been to analyze and generalize the behavior of playing cards as they move through the deck via perfect shuffles. Using concepts based in number theory and abstract algebra, these movements ...
Visual Spatial Tasks Predict Visual Spatial Talent & Mathematical Giftedness
(2012-04)
This study looked at the review of literature, which reveals that certain visual spatial tasks correlate with special gifts and talents.
Study of Least Absolute Deviation Methods
(2015-04)
In the context of finding the "best" predictive model, this research project focuses on assessing and fitting models with least-absolute-deviation techniques.
Bayesian Inferential Statistics Implemented in R
(2017-12-11)
Conventional frequentist statistics taught in undergraduate courses are obviously better than nothing, yet suffer from systematic failures that allow for easy p-hacking and consistent over-estimation of significance and ...