@inproceedings{adfd9a33b32f4f56af938640632b8122,
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). Publisher Copyright: {\textcopyright}2017 Society for Modeling & Simulation International (SCS).; 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)",
series = "Simulation Series",
publisher = "The Society for Modeling and Simulation International",
number = "6",
pages = "100--107",
editor = "Rozenblit, {Jerzy W.} and Johannes Sametinger",
booktitle = "Simulation Series",
edition = "6",
}