Matching Items (9)

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K-8 STEAM Museum Proposal

Description

Accessible STEAM (Science, Technology, Engineering, Art, and Mathematics) education is imperative in creating the future innovators of the world. This business proposal is for a K-8 STEAM Museum to be

Accessible STEAM (Science, Technology, Engineering, Art, and Mathematics) education is imperative in creating the future innovators of the world. This business proposal is for a K-8 STEAM Museum to be built in the Novus Innovation Corridor on Arizona State University (ASU)’s Tempe campus. The museum will host dynamic spaces that are constantly growing and evolving as exhibits are built by interdisciplinary capstone student groups- creating an internal capstone project pipeline. The intention of the museum is to create an interactive environment that fosters curiosity and creativity while acting as supplemental learning material to Arizona K-8 curriculum. The space intends to serve the greater Phoenix area community and will cater to underrepresented audiences through the development of accessible education rooted in equality and inclusivity.

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Agent

Created

Date Created
  • 2020-05

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Almost-Primes Near Factorials

Description

In this paper, we study the prime factorizations of numbers slightly larger than the factorial function. While these are closely related to the factorial prime, they have more inherent structure,

In this paper, we study the prime factorizations of numbers slightly larger than the factorial function. While these are closely related to the factorial prime, they have more inherent structure, which allows for explicit results as of yet not established on factorial prime. Case in point, the main result of this paper is that these numbers, which are described in concrete terms below, cannot be prime powers outside of a handful of small cases; this is a generalization of a classical result stating they cannot be primes. Minor explicit results and heuristic analysis are then given to further characterize the set.

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Agent

Created

Date Created
  • 2019-12

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Using Stepwise Logistic Regression to Determine Substitutions in Baseball

Description

In baseball, a starting pitcher has historically been a more durable pitcher capable of lasting long into games without tiring. For the entire history of Major League Baseball, these pitchers

In baseball, a starting pitcher has historically been a more durable pitcher capable of lasting long into games without tiring. For the entire history of Major League Baseball, these pitchers have been expected to last 6 innings or more into a game before being replaced. However, with the advances in statistics and sabermetrics and their gradual acceptance by professional coaches, the role of the starting pitcher is beginning to change. Teams are experimenting with having starters being replaced quicker, challenging the traditional role of the starting pitcher. The goal of this study is to determine if there is an exact point at which a team would benefit from replacing a starting or relief pitcher with another pitcher using statistical analyses. We will use logistic stepwise regression to predict the likelihood of a team scoring a run if a substitution is made or not made given the current game situation.

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Created

Date Created
  • 2019-05

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Mathematical Modeling of Neuron and Network Dynamics

Description

The Morris-Lecar two-dimensional conductance-based model for an excitable membrane can be used to simulate neurons, and these neuron models can be connected to model neuronal networks. In this work, we

The Morris-Lecar two-dimensional conductance-based model for an excitable membrane can be used to simulate neurons, and these neuron models can be connected to model neuronal networks. In this work, we analyze the dynamics of the Morris-Lecar model using phase plane analysis, and we simulate the model with different parameter regimes. We also develop and simulate a two-cell model network, as well as larger networks composed of 17 cells. We show that the bifurcation type and the parameters for the synaptic connections between model neurons affect the model network dynamic behavior. In particular, we look at the synchronization of networks of identical, repetitively firing neurons.

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Created

Date Created
  • 2019-12

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Enumeration Methods and Series Analysis of Self-Avoiding Polygons on the Hexagonal Lattice, with Applications to Self-organizing Particle Systems

Description

We consider programmable matter as a collection of simple computational elements (or particles) that self-organize to solve system-wide problems of movement, configuration, and coordination. Here, we focus on the compression

We consider programmable matter as a collection of simple computational elements (or particles) that self-organize to solve system-wide problems of movement, configuration, and coordination. Here, we focus on the compression problem, in which the particle system gathers as tightly together as possible, as in a sphere or its equivalent in the presence of some underlying geometry. Within this model a configuration of particles can be represented as a unique closed self-avoiding walk on the triangular lattice. In this paper we will examine the bias parameter of a Markov chain based algorithm that solves the compression problem under the geometric amoebot model, for particle systems that begin in a connected configuration with no holes. This bias parameter, $\lambda$, determines the behavior of the algorithm. It has been shown that for $\lambda > 2+\sqrt{2}$, with all but exponentially small probability, the algorithm achieves compression. Additionally the same algorithm can be used for expansion for small values of $\lambda$; in particular, for all $0 < \lambda < \sqrt{\tau}$, where $\lim_{n\to\infty} {(p_n)^{1
}}=\tau$. This research will focus on improving approximations on the lower bound of $\tau$. Toward this end we will examine algorithmic enumeration, and series analysis for self-avoiding polygons.

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Agent

Created

Date Created
  • 2019-05

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Strength Braining: An Innovation Countering Fifth-Grade Underachievement in Mathematics Through Growth Mindset and Self-Regulation

Description

The problem of practice addressed in this mixed methods action research study is the underachievement of fifth-grade students in mathematics. This study explores the effects of an innovation designed to

The problem of practice addressed in this mixed methods action research study is the underachievement of fifth-grade students in mathematics. This study explores the effects of an innovation designed to help students develop a growth mindset by utilizing self-regulation strategies to improve academic growth in mathematics. Students’ underachievement in mathematics has been illustrated by both state and international assessments. Throughout the decades, mathematics instruction and reforms have varied, but overall students’ psychological needs have been neglected. This innovation was designed to develop students’ psychological characteristics regarding facing challenges in mathematics. For this purpose, two guiding theories were utilized to frame this research study, Dweck’s mindset theory and self-regulation theory. To address the research questions of this study, pre- and post-questionnaire data, observational data and student work was analyzed. Results of the qualitative data indicated that the innovation positively impacted students’ mindsets and use of self-regulation strategies. However, quantitative data indicated the innovation had no effect on students’ use of self-regulation strategies or academic growth, and a negative impact on students’ mindsets.

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Created

Date Created
  • 2020

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Response to intervention universal math fluency screenings: their predictive value for student performance on national and state standardized achievement tests in Arizona

Description

The most recent reauthorizations of No Child Left Behind and the Individuals with Disabilities Education Act served to usher in an age of results and accountability within American education. States

The most recent reauthorizations of No Child Left Behind and the Individuals with Disabilities Education Act served to usher in an age of results and accountability within American education. States were charged with developing more rigorous systems to specifically address areas such as critical academic skill proficiency, empirically validated instruction and intervention, and overall student performance as measured on annual statewide achievement tests. Educational practice has shown that foundational math ability can be easily assessed through student performance on Curriculum-Based Measurements of Math Computational Fluency (CBM-M). Research on the application of CBM-M's predictive validity across specific academic math abilities as measured by state standardized tests is currently limited. In addition, little research is available on the differential effects of ethnic subgroups and gender in this area. This study investigated the effectiveness of using CBM-M measures to predict achievement on high stakes tests, as well as whether or not there are significant differential effects of ethnic subgroups and gender. Study participants included 358 students across six elementary schools in a large suburban school district in Arizona that utilizes the Response to Intervention (RTI) model. Participants' CBM-M scores from the first through third grade years and their third grade standardized achievement test scores were collected. Pearson product-moment and Spearman correlations were used to determine how well CBM-M scores and specific math skills are related. The predictive validity of CBM-M scores from the third-grade school year was also assessed to determine whether the fall, winter, or spring screening was most related to third-grade high-stakes test scores.

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Agent

Created

Date Created
  • 2014

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The: Woodcock-Johnson Three and math learning disabilities

Description

This study investigated the link between the cognitive clusters from the Woodcock–Johnson III Tests of Cognitive Ability (WJ III COG) and Broad Math, Math Calculation Skills, and Math Reasoning clusters

This study investigated the link between the cognitive clusters from the Woodcock–Johnson III Tests of Cognitive Ability (WJ III COG) and Broad Math, Math Calculation Skills, and Math Reasoning clusters of the Woodcock–Johnson III Tests of Achievement (WJ III ACH) using data collected over seven years by a large elementary school district in the Southwest. The students in this study were all diagnosed with math learning disabilities. Multiple regression analyses were used to predict performance on the Broad Math, Math Calculation Skills, and Math Reasoning clusters from the WJ III ACH. Fluid Reasoning (Gf), Comprehension–Knowledge (Gc), Short–Term Memory (Gsm), and Long–term Retrieval (Glr) demonstrated strong relations with Broad Math and moderate relations with Math Calculation Skills. Auditory Processing (Ga) and Processing Speed (Gs) demonstrated moderate relations with Broad Math and Math Calculation Skills. Visual–Spatial Thinking (Gv) and Processing Speed (Gs) demonstrated moderate to strong relations with the mathematics clusters. The results indicate that the specific cognitive abilities of students with math learning disabilities may differ from their peers.

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Agent

Created

Date Created
  • 2010

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Establishing Growth Mindset Teaching Practices as Part of the Third Grade Math Curriculum to Increase Math Self-Efficacy, Math Mindset and Student Achievement

Description

This mixed methods action research dissertation examines the effects of implementing growth mindset teaching practices in third grade math as a means to improve student math self-efficacy, math mindset and

This mixed methods action research dissertation examines the effects of implementing growth mindset teaching practices in third grade math as a means to improve student math self-efficacy, math mindset and student achievement. Since the transition to the Pennsylvania Core Standards, students across the state including those in this district have been experiencing a decrease in math achievement in grades three through eight according to the Pennsylvania System of School Assessment (PSSA) the standardized achievement test all public school students take. Locally, traditional interventions such as worksheets, boxed programs, computer-based programs and extra practice have not yielded gains so this intervention focused on developing growth mindset teaching practices in math to answer four research questions. Framed in Dweck’s Implicit Theories of Personal Attributes (1995), Bandura’s description of self-efficacy (1997) and Hall and Hords’ work with teachers in bridging research into practice (2011), this study used Jo Boaler’s, Mathematical Mindset (2015) in a book study with the third-grade teachers. The dissertation study analyzed pre and post survey data from the third-grade class (n=57) on both mindset and self-efficacy. The study also analyzed pre and post survey data from the teachers (n=2) on mindset along with pre and post intervention interviews with the teachers. Qualitative and quantitative data analysis revealed the intervention had a positive effect on teacher mindsets and practices, a positive effect on student mindsets and a positive effect on student math self-efficacy. While the study did not reveal the intervention to have a positive impact on student achievement at this time, previous research included in the literature review cites improvement in student achievement through developing growth mindset thinking. This gives reason to predict that with more time, these students will experience improved achievement in math. Implications from this study include that we should train all math teachers in incorporating growth mindset practices, and that administrators should build the bridge between research and practice for teachers as they implement new teaching practices in effort to positively affect student performance.

Contributors

Agent

Created

Date Created
  • 2019