{"id":30777,"date":"2022-02-23T10:02:44","date_gmt":"2022-02-23T15:02:44","guid":{"rendered":"https:\/\/www.eng.ufl.edu\/newengineer\/?p=30777"},"modified":"2025-06-11T12:42:26","modified_gmt":"2025-06-11T17:42:26","slug":"using-shark-teeth-to-teach-ai","status":"publish","type":"post","link":"https:\/\/www.eng.ufl.edu\/news\/community-engagement-and-outreach\/using-shark-teeth-to-teach-ai\/","title":{"rendered":"Using Shark Teeth to Teach AI"},"content":{"rendered":"<p><em>This story was originally published at <a href=\"https:\/\/news.ufl.edu\/2022\/02\/using-shark-teeth-to-teach-ai\/\" target=\"_blank\" rel=\"noopener\">news.ufl.edu<\/a> and <a href=\"https:\/\/www.floridamuseum.ufl.edu\/earth-systems\/blog\/uf-earns-grant-to-teach-middle-schoolers-about-shark-teeth-using-ai\/\" target=\"_blank\" rel=\"noopener\">www.floridamuseum.ufl.edu<\/a>.<\/em><\/p>\n<p>by Rebecca Burton<\/p>\n<p>With the goal of recruiting more students to STEM and computer science careers, a team from the University of Florida\u2019s Thompson Earth Systems Institute (TESI), the College of Education and the Herbert Wertheim College of Engineering will partner with the Calvert Marine Museum in Maryland on a three-year, $1.3 million project funded by the National Science Foundation to teach Florida middle school teachers and students how to use artificial intelligence (AI) to identify fossil shark teeth.<\/p>\n<p>Using a branch of AI called \u201cmachine learning,\u201d humans will teach computers how to use shape, color and texture to identify the teeth of the extinct giant shark megalodon.<\/p>\n<p>Like dinosaurs, sharks are a charismatic group of animals that excite students, says Bruce MacFadden, director of TESI and one of the project\u2019s principal investigators. As a hotspot for fossil shark teeth, Florida is the perfect location for this kind of program. Additionally, teachers will have access to the Florida Museum of Natural History\u2019s collection of tens of thousands of shark specimens.<\/p>\n<p>\u201cSharks are the hook to get them interested and, with their simple morphology, are easy specimens to identify using AI. Once we have the students\u2019 attention, we will be able to work on how machine learning can help them answer other scientific questions,\u201d said MacFadden, who is also a distinguished professor and paleontologist at the museum.<\/p>\n<p>Students will first be tasked to make scientific observations of various tooth characteristics to feed into the computer algorithm. Once students teach the computer how to identify megalodon teeth, they will use the same method to identify other types of sharks\u2019 teeth found along Florida\u2019s beaches and river bottoms.<\/p>\n<p>Co-principal investigator Victor Perez, a UF alumnus and an expert on extinct sharks such as megalodon, is now a paleontologist at the Calvert Marine Museum in Maryland.<\/p>\n<p>\u201cUsing sharks as examples, we hope to dispel some of the myths that go along with AI, so that students can better understand possible careers around technology and computer science,\u201d Perez said.<\/p>\n<p>A core component of the project will be annual professional development workshops where 76 middle school teachers will work alongside paleontologists, education researchers and engineers to develop standards-based lesson plans. Preference will be given to teachers from schools that receive Title I funds to provide additional resources for low-income students. The customizable lesson plans and interactive machine learning models will be available on the project\u2019s website for any teacher to access for free.<\/p>\n<p>\u201cThe lesson plans developed by teachers and the project team will integrate science content, computer science and engineering skills, and discovery of career pathways for the benefit of middle school teachers and their students,\u201d said Pasha Antonenko, associate professor of educational technology in the UF College of Education, and one of the project\u2019s co-principal investigators.<\/p>\n<p>\u201cWith this project, we will not only enhance students\u2019 interest in science, but also introduce them to machine learning methods.\u201d<\/p>\n<p>The teachers will be recruited through TESI\u2019s <a href=\"https:\/\/www.floridamuseum.ufl.edu\/earth-systems\/scientist-in-every-florida-school\/\" target=\"_blank\" rel=\"noopener\">Scientist in Every Florida School (SEFS) program<\/a>, which was one of eight pilot projects launched in 2019 with funding from UF\u2019s <a href=\"https:\/\/news.ufl.edu\/articles\/2018\/10\/uf-launches-bold-initiative-to-tackle-societys-biggest-problems.html\" target=\"_blank\" rel=\"noopener\">Moonshot Initiative<\/a>. SEFS is the first statewide program of its kind that matches working researchers with K-12 classrooms in the state. More than 900 teachers have participated in SEFS since its launch in 2019.<\/p>\n<p>\u201cWe have developed close relationships with teachers and school districts in 41 counties and counting,\u201d said Brian Abramowitz, K-12 education and outreach coordinator for SEFS. \u201cThe teachers have come to know and trust our professional development programs, and we are excited to recruit them for this exciting new venture.\u201d<\/p>\n<p>The project helps further the university\u2019s goal of becoming a national leader of AI development and application. UF is currently home to the most powerful university-owned supercomputer in the U.S.<\/p>\n<p>Co-principal investigator Jeremy Waisome, an instructional assistant professor in the UF Herbert Wertheim College of Engineering, will be responsible for helping students and teachers develop and understand machine learning models. At the same time, the team will be analyzing student and teacher perceptions of AI in science.<\/p>\n<p>\u201cWe hope to understand ways to integrate AI in science classrooms that are accessible, engaging and exciting,\u201d Waisome said. \u201cWe believe this foundational knowledge will inspire students to consider careers in STEM.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A team from the University of Florida\u2019s Thompson Earth Systems Institute (TESI), the College of Education and the Herbert Wertheim College of Engineering will partner with the Calvert Marine Museum in Maryland on a three-year, $1.3 million project funded by the National Science Foundation to teach Florida middle school teachers and students how to use artificial intelligence (AI) to identify fossil shark teeth.<\/p>\n","protected":false},"author":2592,"featured_media":30779,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-templates\/single-sidebar-none.php","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"featured_post":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[73,5,17,25,57],"tags":[93],"class_list":["post-30777","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-university","category-community-engagement-and-outreach","category-eed","category-engineering-education","category-stories","tag-aiatuf"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Using Shark Teeth to Teach AI - News from Herbert Wertheim College of Engineering<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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