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: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 languageEnglish (US)
Title of host publicationSimulation Series
EditorsJerzy W. Rozenblit, Johannes Sametinger
PublisherThe Society for Modeling and Simulation International
Pages100-107
Number of pages8
Edition6
ISBN (Electronic)9781510838253
StatePublished - 2017
Event4th 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 2017Apr 26 2017

Publication series

NameSimulation Series
Number6
Volume49
ISSN (Print)0735-9276

Conference

Conference4th Modeling and Simulation in Medicine Symposium, MSM 2017, Part of the 2017 Spring Simulation Multi-Conference, SpringSim 2017
Country/TerritoryUnited States
CityVirginia Beach
Period4/23/174/26/17

Keywords

  • And sleep insufficiency
  • Real-time feedback
  • Simulation model
  • Sleep patterns

ASJC Scopus subject areas

  • Computer Networks and Communications

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