Search Content

Matching Items (3)

Filtering by

Creators: College of Integrative Sciences and Arts
Member of: Barrett, The Honors College Thesis/Creative Project Collection

High School Biology Teacher Knowledge Governing the Laws Related to the Teaching of Evolution and Creationism

Description

This project examined the relationship of science teachers' knowledge about the laws relating to the teaching of creationism/evolution in public schools using multiple demographic factors. Overall, teachers correctly identified only 7 out of 10 "yes" or "no" answers about the laws, this score is only slightly better than the expected 5 out of 10 that would be obtained from guessing. Statistically significant results in differences in the overall score on the survey were found for three major variables. Teachers who say creationism should be taught in the classroom have a lower score than those who say it should not be taught in the classroom, with a large effect size. Teachers who teach biology or a life science had significantly higher scores than those who do not, with a small/medium effect size. Older teachers had significantly higher scores than younger teachers, with a small effect size. Identifying the demographic variables that effect teacher knowledge about the laws is the first step to determining how to educate teachers on the legality teaching of creationism/evolution in public school classrooms to avoid violations of the First Amendment.

ContributorsSorge, Aidan Bennet (Author) / Parker, John (Thesis director) / Lynch, John (Committee member) / School for the Future of Innovation in Society (Contributor) / Department of English (Contributor) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)

Created2018-05

Plasmodium Cost of Resistance and Life Stage Development within the Mosquito Vector

Description

Hundreds of thousands of people die annually from malaria; a protozoan of the genus Plasmodium is responsible for this mortality. The Plasmodium parasite undergoes several life stages within the mosquito vector, the transition between which require passage across the lumen of the mosquito midgut. It has been observed that in about 15% of parasites that develop ookinetes in the mosquito abdomen, sporozoites never develop in the salivary glands, indicating that passage across the midgut lumen is a significant barrier in parasite development (Gamage-Mendis et al., 1993). We aim to investigate a possible correlation between passage through the midgut lumen and drug-resistance trends in Plasmodium falciparum parasites. This study contains a total of 1024 Anopheles mosquitoes: 187 Anopheles gambiae and 837 Anopheles funestus samples collected in high malaria transmission areas of Mozambique between March and June of 2016. Sanger sequencing will be used to determine the prevalence of known resistance alleles for anti-malarial drugs: chloroquine resistance transporter (pfcrt), multidrug resistance (pfmdr1) gene, dihydropteroate synthase (pfdhps) and dihydrofolate reductase (pfdhfr). We compare prevalence of resistance between abdomen and head/thorax in order to determine whether drug resistant parasites are disproportionately hindered during their passage through the midgut lumen. A statistically significant difference between resistance alleles in the two studied body sections supports the efficacy of new anti-malarial gene surveillance strategies in areas of high malaria transmission.

ContributorsPhillips, Keeley Isabella (Author) / Huijben, Silvie (Thesis director) / Gile, Gillian (Committee member) / Young, Steven (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)

Created2021-05

Bottom-Up Strategy Development: Evolving Metagames of Neural Network-Based Strategies

Description

In this paper, I describe the development of a unique approach to developing strategies for games in which success can only be measured by the final outcome of the game, preventing the use of heuristics. I created and evaluated evolutionary algorithms, applying them to develop strategies for tic-tac-toe. Strategies are comprised of neural networks with randomly initiated weights. A population of candidate strategies are created, each strategy competes individually against each other strategy, and evolutionary operators are applied to create subsequent generations of strategies. The set of strategies within a generation of the evolutionary algorithm forms a metagame that evolves as the algorithm progresses. Hypothesis testing shows that strategies produced by this approach significantly outperform a baseline of entirely random action, although they are still far from optimal gameplay.

ContributorsRodriguez, Julien Guillermo (Author) / Martin, Thomas (Thesis director) / Powers, Brian (Committee member) / College of Integrative Sciences and Arts (Contributor, Contributor) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)

Created2020-05