劳动力
介绍(产科)
劳动力发展
计算机科学
工作(物理)
医学教育
工程管理
工程类
政治学
医学
机械工程
放射科
法学
作者
Kristen Jaskie,Jean Larson,Milton Johnson,Kathy Turner,Megan O’Donnell,Jennifer Blain Christen,S. P. V. Subba Rao,Andreas Spanias
标识
DOI:10.1109/fie49875.2021.9637132
摘要
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.
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