Dream sweet dreams: A new framework for sleep tracking and body change prediction

Ao Li; Meiling Wang; Linda S Powers; Michelle M Perfect; Stuart F Quan

Dream sweet dreams: A new framework for sleep tracking and body change prediction

Ao Li, Meiling Wang, Linda S Powers, Michelle M Perfect, Stuart F Quan

Research output: Contribution to journal › Article

Abstract

This paper addresses a real-world issue, sleep insufficiency, and its health consequences, as an innovative vehicle to improve elementary education in Science, Technology, Engineering and Math (STEM). Partnering with the Catalina Foothills School District, researchers at the University of Arizona developed, implemented, and evaluated a new STEM education program that includes a database, a set of prediction and simulation models, and a set of sleep science lessons (developed in collaboration with Biological Sciences Curriculum Study). The new "MySleep" program allows for tracking of sleep patterns in the students' natural environment, and provides real-time feedback, options for communications with teachers and parents, and data analysis capabilities.

Original language	English (US)
Pages (from-to)	100-107
Number of pages	8
Journal	Simulation Series
Volume	49
Issue number	6
State	Published - 2017

Keywords

And sleep insufficiency
Real-time feedback
Simulation model
Sleep patterns

ASJC Scopus subject areas

Computer Networks and Communications

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Cite this

Li, A., Wang, M., Powers, L. S., Perfect, M. M., & Quan, S. F. (2017). Dream sweet dreams: A new framework for sleep tracking and body change prediction. Simulation Series, 49(6), 100-107.

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