Research Experiences for Teachers in Machine Learning

Kristen Jaskie, Jean Larson, Milton Johnson, Kathy Turner, Megan O'Donnell, Jennifer Blain Christen, Sunil Rao, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 IEEE Frontiers in Education Conference, FIE 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665438513
StatePublished - 2021
Event2021 IEEE Frontiers in Education Conference, FIE 2021 - Lincoln, United States
Duration: Oct 13 2021Oct 16 2021

Publication series

NameProceedings - Frontiers in Education Conference, FIE
ISSN (Print)1539-4565


Conference2021 IEEE Frontiers in Education Conference, FIE 2021
Country/TerritoryUnited States


  • AI
  • RET
  • STEM
  • high school teachers
  • machine learning
  • quantum computing
  • sensors

ASJC Scopus subject areas

  • Software
  • Education
  • Computer Science Applications


Dive into the research topics of 'Research Experiences for Teachers in Machine Learning'. Together they form a unique fingerprint.

Cite this