Mainstream Smart Home Technology as Assistive Technology
Learn to implement smart home technology as assistive solutions for older adults and individuals with disabilities.
Learn to implement smart home technology as assistive solutions for older adults and individuals with disabilities.
This comprehensive course teaches healthcare providers and caregivers how to utilize smart home technology as assistive tools. Students learn about smart home components, ecosystems like Amazon Alexa and Google Home, wireless protocols, and implementation strategies while focusing on assessment, selection, and training approaches to enhance independence for older adults and individuals with disabilities.
Instructors:
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What you'll learn
Understand smart home technology components
Assess client needs and goals effectively
Select appropriate smart home solutions
Customize technology for individual needs
Develop effective training strategies
Implement sustainable assistive solutions
Skills you'll gain
This course includes:
154 Minutes PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course provides comprehensive training in using smart home technology as assistive solutions. The curriculum covers fundamental components of smart home systems, assessment approaches, technology selection, customization strategies, and training methods. Students learn to evaluate client needs, select appropriate technologies, and implement solutions that enhance independence.
Introduction to Smart Home Technology and Service Delivery
Module 1 · 2 Hours to complete
Smart Home Technology Overview
Module 2 · 2 Hours to complete
Assessment
Module 3 · 2 Hours to complete
Smart Home Technology Selection and Customization
Module 4 · 2 Hours to complete
Smart Home Technology Training
Module 5 · 3 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Smart Home Technology and Assistive Technology Specialist
Dr. Andrea Fairman serves as faculty at the University of Pittsburgh, specializing in assistive technology and smart home solutions. Through her Coursera course "Mainstream Smart Home Technology as Assistive Technology," she helps healthcare providers, social service professionals, and caregivers understand how smart home technology can enhance independence and well-being for older adults and individuals with disabilities. Her course covers comprehensive topics including smart home components, major ecosystems like Amazon Alexa and Google Home, and wireless communication protocols. Her expertise focuses on integrating mainstream smart home technology as assistive solutions, addressing assessment approaches, client-centered goals, and functional performance evaluation. The course emphasizes practical applications while considering privacy, security, and sustainability concerns in smart home implementation
Rehabilitation Engineering Expert and Assistive Technology Specialist
Dr. Dan Ding serves as Associate Professor and Vice Chair for Research at the University of Pittsburgh's Department of Rehabilitation Science and Technology, while also working as a Research Biomedical Engineer at the VA Pittsburgh Healthcare System. Through her Coursera course "Mainstream Smart Home Technology as Assistive Technology," she helps students understand how smart technology can support independence and participation for people with disabilities. Her research focuses on sensors, machine learning, and human-machine interaction, particularly in wearables, internet-of-things, and assistive robotics. As Principal Investigator of the Rehabilitation Engineering Research Center on Wireless Technology for People with Disabilities, she leads initiatives to advance assistive technology solutions. With over 180 peer-reviewed publications and extensive federal grant funding, she continues to pioneer research in smart technology applications for disability support while maintaining secondary appointments at the Department of Bioengineering and McGowan Institute for Regenerative Medicine
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Frequently asked questions
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