TY - GEN
T1 - Research Experiences for Teachers in Machine Learning
AU - Jaskie, Kristen
AU - Larson, Jean
AU - Johnson, Milton
AU - Turner, Kathy
AU - O'Donnell, Megan
AU - Christen, Jennifer Blain
AU - Rao, Sunil
AU - Spanias, Andreas
N1 - Funding Information:
National Science Foundation (NSF) Research Experiences for Teachers (RET) programs span several STEM areas and previous programs reported research, outcomes and assessments in [1-5]. In this RET program, teachers are recruited and trained in machine learning (ML) algorithms [6-10] and software. The ML topic of the RET was motivated by national workforce needs, the many ML applications that energize and intrigue students, and the ML relevance to STEM education and recruitment. The program recruited teachers from STEM fields including Physics, Mathematics, and Computer Systems with the emphasis on attracting teachers from minority-serving high schools. The intellectual focus of the program is on establishing foundations to create a workforce in ML and Internet-of-Things (IoT), starting at the high school level. This work in progress paper provides descriptions of all technical and assessment sessions, lessons learned, and experiences gained on delivery of such a program under COVID-19 restrictions. In addition to examining the diversity of participants and the diversity of students they reach, there are key evaluation goals that will be examined.
Funding Information:
The program was supported by NSF award 1953745.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Machine learning and Artificial Intelligence (AI) are national priority areas for research, education and workforce development. This work in progress paper describes a Research Experiences for Teachers program in sensors and machine learning launched in the summer of 2020. Motivated by national AI workforce needs, we designed a program that engaged high school teachers from STEM fields in machine learning research. In 2020, the program focused on AI algorithms for solar energy systems. Because of the COVID-19 conditions, the research experience was virtual and ran with a smaller teacher group than originally planned. The program included development of training content, algorithm and software training, research in solar energy monitoring, development of research reports and lesson plans, research presentations, and assessment. The assessment of the program included surveys, interviews, presentation observations, and follow-up in high school content delivery.
AB - Machine learning and Artificial Intelligence (AI) are national priority areas for research, education and workforce development. This work in progress paper describes a Research Experiences for Teachers program in sensors and machine learning launched in the summer of 2020. Motivated by national AI workforce needs, we designed a program that engaged high school teachers from STEM fields in machine learning research. In 2020, the program focused on AI algorithms for solar energy systems. Because of the COVID-19 conditions, the research experience was virtual and ran with a smaller teacher group than originally planned. The program included development of training content, algorithm and software training, research in solar energy monitoring, development of research reports and lesson plans, research presentations, and assessment. The assessment of the program included surveys, interviews, presentation observations, and follow-up in high school content delivery.
KW - AI
KW - RET
KW - STEM
KW - high school teachers
KW - machine learning
KW - quantum computing
KW - sensors
UR - http://www.scopus.com/inward/record.url?scp=85123867921&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85123867921&partnerID=8YFLogxK
U2 - 10.1109/FIE49875.2021.9637132
DO - 10.1109/FIE49875.2021.9637132
M3 - Conference contribution
AN - SCOPUS:85123867921
T3 - Proceedings - Frontiers in Education Conference, FIE
BT - Proceedings - 2021 IEEE Frontiers in Education Conference, FIE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Frontiers in Education Conference, FIE 2021
Y2 - 13 October 2021 through 16 October 2021
ER -