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Department of Computer Science

About RET

Research Experiences in Big Data and Machine/Deep Learning for OK STEM Teachers

A National Science Foundation Research Experience for Teachers by Oklahoma State University


Abstract


As artificial intelligence continues to transform society, a skilled STEM workforce is becoming more critical for the growth and diversification of science, innovation, and the U.S. economy. This RET site at Oklahoma State University (OSU) will immerse high school teachers in research and curricular development activities to better engage students with AI topics like Big Data, Machine Learning, and Deep Learning. OSU will leverage an existing partnership with the Tulsa Regional STEM Alliance to recruit teachers to the site while simultaneously strengthening and creating relationships between industry, high schools, community colleges, and universities. This RET Site will also provide opportunities for high school and community college students to continue engaging in research after the RET program has run its course, further promoting opportunities to propel the next generation of technologically saavy students into computing careers.

Oklahoma State University (OSU) in partnership with Tulsa Regional STEM Alliance (TRSA) propose a RET site to conduct research and develop curriculum for Big Data and Machine Learning/Deep Learning (ML/DL) to equip teachers and engage students to achieve a computing aware and capable workforce. The program will recruit ten teachers from the Tulsa and surrounding areas to conduct research and curriculum development activities at the OSU campus in Tulsa for six weeks during the summer. The RET site will include ML/DL projects that call on large datasets in different areas. The teachers, faculty mentors along with the curriculum coordinators will develop learning experiences, activities, problems and examples suitable for use in their classrooms. The objectives of the program are: 1). Develop teachers’ knowledge of ML/DL/Big Data. 2). Develop and implement innovative curriculum by translating research experiences into classroom practices. 3). Build long-term, sustainable relationships between OSU, TRSA, Community colleges, high schools districts and industry to promote and provide support for advancing STEM education.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

 

About the Program

In this National Science Foundation Research Experience for Teachers (NSF-RET) program, teachers will be guided by Oklahoma State University Department of Computer Science faculty to work on Machine/Deep Learning research projects. The program is spread over a period of 1 year, including two weeks of virtual training, six weeks of summer research, and the remainder spent on incorporating summer material with your student activities. Teachers can choose from a variety of interdisciplinary date science projects. Examples of projects include: computational viral evolution, COVID-19 knowledge graphs, social medial polarization, adversarial attacks in machine learning, electronics health records, sleep disorder graphs, and genome sequencing. See Application for more details.

 

Benefits

  • $8,000 participant stipend upon full participation in the virtual Pre-program, Research program, and the Post program activities.
  • Learn from OSU Department of Computer Science Faculty.
  • Create real-world learning experiences for your students.

 

Ideal Candidates

  • High school or community college teachers in the areas of computer science, biology/health sciences, mathematics, and social sciences.
  • Some knowledge of computer programming, especially Python.

June 1 - July 21, 2023

OSU-Tulsa

OSU, NSF, Tulsa Regional STEM Alliance

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