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

doi:10.1109/FIE49875.2021.9637132

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 proceeding › Conference contribution

1 Scopus citations

Abstract

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 language	English (US)
Title of host publication	Proceedings - 2021 IEEE Frontiers in Education Conference, FIE 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665438513
DOIs	https://doi.org/10.1109/FIE49875.2021.9637132
State	Published - 2021
Event	2021 IEEE Frontiers in Education Conference, FIE 2021 - Lincoln, United States Duration: Oct 13 2021 → Oct 16 2021

Publication series

Name	Proceedings - Frontiers in Education Conference, FIE
Volume	2021-October
ISSN (Print)	1539-4565

Conference

Conference	2021 IEEE Frontiers in Education Conference, FIE 2021
Country/Territory	United States
City	Lincoln
Period	10/13/21 → 10/16/21

Keywords

AI
RET
STEM
high school teachers
machine learning
quantum computing
sensors

ASJC Scopus subject areas

Software
Education
Computer Science Applications

Access to Document

10.1109/FIE49875.2021.9637132

Cite this

Jaskie, K., Larson, J., Johnson, M., Turner, K., O'Donnell, M., Christen, J. B., Rao, S., & Spanias, A. (2021). Research Experiences for Teachers in Machine Learning. In Proceedings - 2021 IEEE Frontiers in Education Conference, FIE 2021 (Proceedings - Frontiers in Education Conference, FIE; Vol. 2021-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FIE49875.2021.9637132

Research Experiences for Teachers in Machine Learning. / Jaskie, Kristen; Larson, Jean; Johnson, Milton et al.
Proceedings - 2021 IEEE Frontiers in Education Conference, FIE 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings - Frontiers in Education Conference, FIE; Vol. 2021-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jaskie, K, Larson, J, Johnson, M, Turner, K, O'Donnell, M, Christen, JB, Rao, S & Spanias, A 2021, Research Experiences for Teachers in Machine Learning. in Proceedings - 2021 IEEE Frontiers in Education Conference, FIE 2021. Proceedings - Frontiers in Education Conference, FIE, vol. 2021-October, Institute of Electrical and Electronics Engineers Inc., 2021 IEEE Frontiers in Education Conference, FIE 2021, Lincoln, United States, 10/13/21. https://doi.org/10.1109/FIE49875.2021.9637132

@inproceedings{79b36212a76045ad87d25d9aafe2b19d,

title = "Research Experiences for Teachers in Machine Learning",

abstract = "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.",

keywords = "AI, RET, STEM, high school teachers, machine learning, quantum computing, sensors",

author = "Kristen Jaskie and Jean Larson and Milton Johnson and Kathy Turner and Megan O'Donnell and Christen, {Jennifer Blain} and Sunil Rao and Andreas Spanias",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Frontiers in Education Conference, FIE 2021 ; Conference date: 13-10-2021 Through 16-10-2021",

year = "2021",

doi = "10.1109/FIE49875.2021.9637132",

language = "English (US)",

series = "Proceedings - Frontiers in Education Conference, FIE",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings - 2021 IEEE Frontiers in Education Conference, FIE 2021",

}

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

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 -

Research Experiences for Teachers in Machine Learning

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this