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Articles 1 - 7 of 7
Full-Text Articles in Mathematics
Reflection On Use Of The "Reacting To The Past" Pedagogy In A History Of Mathematics Course, Davida Fischman
Reflection On Use Of The "Reacting To The Past" Pedagogy In A History Of Mathematics Course, Davida Fischman
Q2S Enhancing Pedagogy
This brief report provides a reflection on the use of the "Reacting to the Past" (RTTP) pedagogy in a History of Mathematics classroom. The conclusion is drawn that the RTTP pedagogy is very successful in engaging students in active learning, and appropriate games may be utilized to help students learn about the role of mathematics in historical developments as well as in society today.
Σ-Ary, Minnesota State University Moorhead, Mathematics Department
Σ-Ary, Minnesota State University Moorhead, Mathematics Department
Math Department Newsletters
No abstract provided.
Patterns, Symmetries, And Mathematical Structures In The Arts, Sarah C. Deloach
Patterns, Symmetries, And Mathematical Structures In The Arts, Sarah C. Deloach
Honors College Theses
Mathematics is a discipline of academia that can be found everywhere in the world around us. Mathematicians and scientists are not the only people who need to be proficient in numbers. Those involved in social sciences and even the arts can benefit from a background in math. In fact, connections between mathematics and various forms of art have been discovered since as early as the fourth century BC. In this thesis we will study such connections and related concepts in mathematics, dances, and music.
Mathematical Analysis Of The Duck Migration To Louisiana, Brandon Garcia
Mathematical Analysis Of The Duck Migration To Louisiana, Brandon Garcia
Mathematics Senior Capstone Papers
The purpose of this project is to research the relationship between duck migration and weather patterns, more specifically trying to determine if the rainfall and temperature in a given year affects the migration patterns of ducks. Duck hunters and conservation- ists alike have observed an overall decrease in the duck population in Louisiana over the past 70 years. Though some years have seen an increase, the population has not recovered to the level from the 1950s. These observations have led to many questions about what have happened to the ducks or where have the ducks gone. Using differ- ent forms …
University Scholar Series: Tatiana Shubin, Tatiana Shubin
University Scholar Series: Tatiana Shubin, Tatiana Shubin
University Scholar Series
Moving in Circles: the Beauty and Joy of Mathematics for Everyone
Tatiana Shubin joined the faculty of San Jose State University in 1985 after earning her Ph.D. in Mathematics from University of California, Santa Barbara. In 1998, she founded San Jose Math Circle and the Bay Area Math Adventures. In 2006, Shubin became a co-founder of the first Math Teachers' Circle in the US. This circle proved to be a seed which germinated to produce the entire Math Teachers' Circle Network. She launched the Navajo Nation Math Circles project in 2012, became a co-founder and co-director of the Alliance of …
Spirit-Wise Math: Two Examples From A Collection Of Mathaphors, Sarah Voss
Spirit-Wise Math: Two Examples From A Collection Of Mathaphors, Sarah Voss
Journal of Humanistic Mathematics
This article consists of two examples of loosely spiritual insights drawn from mathematics, both of which are from a work-in-progress -- a collection of mathematical metaphors.
Predicting How People Vote From How They Tweet, Rao B. Vinnakota
Predicting How People Vote From How They Tweet, Rao B. Vinnakota
Senior Projects Spring 2019
In 2016 Donald Trump stunned the nation and not a single pollster predicted the outcome. For the last few decades, pollsters have relied on phone banking as their main source of information. There is reason to believe that this method does not present the complete picture it once did due to several factors--less landline usage, a younger and more active electorate, and the rise of social media. Social media specifically has grown in prominence and become a forum for political debate. This project quantitatively analyzes political twitter data and leverages machine learning techniques such as Naive-Bayes to model election results. …