Re-envisioning a K-12 Early Warning System with School Climate Factors

Mengchen Su; Lukas A. Olson; Daniel C. Jarratt; Sashank Varma; Joseph A. Konstan; Rebecca J.L. Keller; Bodong Chen

doi:10.1145/3491140.3528670

Re-envisioning a K-12 Early Warning System with School Climate Factors

Mengchen Su, Lukas A. Olson, Daniel C. Jarratt, Sashank Varma, Joseph A. Konstan, Rebecca J.L. Keller, Bodong Chen

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

Abstract

The Every Student Succeeds Act (ESSA) prescribes holistic measures of schools for student success and well-being. However, many early warning systems rely exclusively on the "Attendance, Behavior, Course"(ABC) taxonomy, which misses potentially crucial determinants such as school climate and students' socioemotional learning. We report early findings from a larger project that aims to apply machine learning methods to improve an early warning system by incorporating factors related to school climate and socioemotional learning. These preliminary analyses suggest that a culturally inclusive, socially supportive, and emotionally and physically safe school climate is related to academic success and fewer engagement/behavior problems at the school level. They suggest the promise of integrating these features into early warning systems to help schools change their practices to better support student well-being.

Original language	English (US)
Title of host publication	L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale
Publisher	Association for Computing Machinery, Inc
Pages	405-408
Number of pages	4
ISBN (Electronic)	9781450391580
DOIs	https://doi.org/10.1145/3491140.3528670
State	Published - Jun 1 2022
Event	9th Annual ACM Conference on Learning at Scale, L@S 2022 - New York City, United States Duration: Jun 1 2022 → Jun 3 2022

Publication series

Name	L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale

Conference

Conference	9th Annual ACM Conference on Learning at Scale, L@S 2022
Country/Territory	United States
City	New York City
Period	6/1/22 → 6/3/22

Bibliographical note

Funding Information:
This project is funded by Schmidt Futures. We offer a special thanks to the Nevada Department of Education and American Institutes for Research (AIR) for data preparation, early partnership, and feedback on this project.

Publisher Copyright:
© 2022 ACM.

Keywords

early warning system (EWS)
school climate
socioemotional learning (SEL)
student information system

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10.1145/3491140.3528670

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Su, M., Olson, L. A., Jarratt, D. C., Varma, S., Konstan, J. A., Keller, R. J. L., & Chen, B. (2022). Re-envisioning a K-12 Early Warning System with School Climate Factors. In L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale (pp. 405-408). (L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale). Association for Computing Machinery, Inc. https://doi.org/10.1145/3491140.3528670

Re-envisioning a K-12 Early Warning System with School Climate Factors. / Su, Mengchen; Olson, Lukas A.; Jarratt, Daniel C. et al.
L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale. Association for Computing Machinery, Inc, 2022. p. 405-408 (L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale).

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

Su, M, Olson, LA, Jarratt, DC, Varma, S, Konstan, JA, Keller, RJL & Chen, B 2022, Re-envisioning a K-12 Early Warning System with School Climate Factors. in L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale. L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale, Association for Computing Machinery, Inc, pp. 405-408, 9th Annual ACM Conference on Learning at Scale, L@S 2022, New York City, United States, 6/1/22. https://doi.org/10.1145/3491140.3528670

Su M, Olson LA, Jarratt DC, Varma S, Konstan JA, Keller RJL et al. Re-envisioning a K-12 Early Warning System with School Climate Factors. In L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale. Association for Computing Machinery, Inc. 2022. p. 405-408. (L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale). doi: 10.1145/3491140.3528670

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Re-envisioning a K-12 Early Warning System with School Climate Factors

Abstract

Publication series

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Bibliographical note

Keywords

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