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

Ao Li; Janet M. Roveda; Linda S. Powers; Michelle M. Perfect; Stuart F. Quan

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

Ao Li, Janet M. Roveda, Linda S. Powers, Michelle M. Perfect, Stuart F. Quan

Research output: Contribution to journal › Conference article › peer-review

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
Event	4th Modeling and Simulation in Medicine Symposium, MSM 2017, Part of the 2017 Spring Simulation Multi-Conference, SpringSim 2017 - Virginia Beach, United States Duration: Apr 23 2017 → Apr 26 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

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title = "Dream sweet dreams: A new framework for sleep tracking and body change prediction",

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.",

keywords = "And sleep insufficiency, Real-time feedback, Simulation model, Sleep patterns",

author = "Ao Li and Roveda, {Janet M.} and Powers, {Linda S.} and Perfect, {Michelle M.} and Quan, {Stuart F.}",

note = "Funding Information: This research is supported in part by NSF award #1433185 (collaborators: Michelle Perfect, Janet M. Roveda, and Stuart Quan).; 4th Modeling and Simulation in Medicine Symposium, MSM 2017, Part of the 2017 Spring Simulation Multi-Conference, SpringSim 2017 ; Conference date: 23-04-2017 Through 26-04-2017",

year = "2017",

language = "English (US)",

volume = "49",

pages = "100--107",

journal = "Simulation Series",

issn = "0735-9276",

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TY - JOUR

T1 - Dream sweet dreams

T2 - 4th Modeling and Simulation in Medicine Symposium, MSM 2017, Part of the 2017 Spring Simulation Multi-Conference, SpringSim 2017

AU - Li, Ao

AU - Roveda, Janet M.

AU - Powers, Linda S.

AU - Perfect, Michelle M.

AU - Quan, Stuart F.

N1 - Funding Information: This research is supported in part by NSF award #1433185 (collaborators: Michelle Perfect, Janet M. Roveda, and Stuart Quan).

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - And sleep insufficiency

KW - Real-time feedback

KW - Simulation model

KW - Sleep patterns

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Y2 - 23 April 2017 through 26 April 2017

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