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Physical Sciences and Mathematics Commons™
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Articles 1 - 9 of 9
Full-Text Articles in Physical Sciences and Mathematics
"Returning To The Root" Of The Problem: Improving The Social Condition Of African Americans Through Science And Mathematics Education, Vanessa R. Pitts Bannister, Julius Davis, Jomo Mutegi, Latasha Thompson, Deborah Lewis
"Returning To The Root" Of The Problem: Improving The Social Condition Of African Americans Through Science And Mathematics Education, Vanessa R. Pitts Bannister, Julius Davis, Jomo Mutegi, Latasha Thompson, Deborah Lewis
Catalyst: A Social Justice Forum
The underachievement and underrepresentation of African Americans in STEM (Science, Technology, Engineering and Mathematics) disciplines have been well documented. Efforts to improve the STEM education of African Americans continue to focus on relationships between teaching and learning and factors such as culture, race, power, class, learning preferences, cultural styles and language. Although this body of literature is deemed valuable, it fails to help STEM teacher educators and teachers critically assess other important factors such as pedagogy and curriculum. In this article, the authors argue that both pedagogy and curriculum should be centered on the social condition of African Americans – …
Final Report For Chesnutt Library Fellows Information Literacy Program (Final Report), Dong Wang
Final Report For Chesnutt Library Fellows Information Literacy Program (Final Report), Dong Wang
Chesnutt Fellows Information Literacy Projects
No abstract provided.
Information Literacy In Class Room, Asitha Kodippili
Information Literacy In Class Room, Asitha Kodippili
Chesnutt Fellows Information Literacy Projects
No abstract provided.
Fsu Chesnutt Library Fellows Information Literacy Program Presentation, Dong Wang
Fsu Chesnutt Library Fellows Information Literacy Program Presentation, Dong Wang
Chesnutt Fellows Information Literacy Projects
No abstract provided.
Information Literacy And Precalculus Mathematics I, Wu Jing
Information Literacy And Precalculus Mathematics I, Wu Jing
Chesnutt Fellows Information Literacy Projects
No abstract provided.
My Experience Of Being A Chesnutt Fellow On Information Literacy (Final Report), Asitha Kodippili
My Experience Of Being A Chesnutt Fellow On Information Literacy (Final Report), Asitha Kodippili
Chesnutt Fellows Information Literacy Projects
No abstract provided.
Information Literacy- Math 129 Precalculus Mathematics I Redesign (Final Report), Wu Jing
Information Literacy- Math 129 Precalculus Mathematics I Redesign (Final Report), Wu Jing
Chesnutt Fellows Information Literacy Projects
No abstract provided.
Connections Between Project-Based Learning And Mathematics Instruction: Exploring Their Integration In Classroom Curricula, Zoe Nietert
Undergraduate Honors Thesis Projects
Project-based learning is poorly defined leading to confusion and inconsistent implementation in the classroom. To eliminate the use of project-based learning as educational jargon it is imperative to define the term. This project aims to define project-based learning in a manner that outlines its critical and variable attributes. From the established definition, a rubric is created to determine the quality of project-based learning materials, specifically in the context of math education. The purpose of the rubric is to create a tool to be used in future classrooms as a means of identifying classroom curricula that demonstrate both project-based learning and …
Curriculum Guidelines For Undergraduate Programs In Data Science, Richard D. De Veaux, Mahesh Agarwal, Maia Averett, Benjamin Baumer, Andrew Bray, Thomas C. Bressoud, Lance Bryant, Lei Z. Cheng, Amanda Francis, Robert Gould, Albert Y. Kim, Matt Kretchmar, Qin Lu, Ann Moskol, Deborah Nolan, Roberto Pelayo, Sean Raleigh, Ricky J. Sethi, Mutiara Sondjaja, Neelesh Tiruviluamala, Paul X. Uhlig, Talitha M. Washington, Curtis L. Wesley, David White, Ping Ye
Curriculum Guidelines For Undergraduate Programs In Data Science, Richard D. De Veaux, Mahesh Agarwal, Maia Averett, Benjamin Baumer, Andrew Bray, Thomas C. Bressoud, Lance Bryant, Lei Z. Cheng, Amanda Francis, Robert Gould, Albert Y. Kim, Matt Kretchmar, Qin Lu, Ann Moskol, Deborah Nolan, Roberto Pelayo, Sean Raleigh, Ricky J. Sethi, Mutiara Sondjaja, Neelesh Tiruviluamala, Paul X. Uhlig, Talitha M. Washington, Curtis L. Wesley, David White, Ping Ye
Statistical and Data Sciences: Faculty Publications
The Park City Math Institute 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in data science. The group consisted of 25 undergraduate faculty from a variety of institutions in the United States, primarily from the disciplines of mathematics, statistics, and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in data science.