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

Research output: Research - peer-reviewArticle

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.

LanguageEnglish (US)
Pages100-107
Number of pages8
JournalSimulation Series
Volume49
Issue number6
StatePublished - 2017

Fingerprint

Sleep
Engineering technology
Education
Curricula
Health
Students
Feedback
Communication

Keywords

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

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

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