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S10 E4: Enhancing Social Skills and Learning through AI and Robotics

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Content provided by Eric Imperiale. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Imperiale or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of Practical Access, Lisa Dieker and Rebecca Hines discuss Project RAISE (Robots and Artificial Intelligence to Improve Social Skills for Elementary Students), a federally funded initiative aimed at integrating AI and robotics in educational settings. The project is a collaboration with UCP of Central Florida and led by computer science expert Charlie Hughes, among others.

Link to website:

https://www.ucf.edu/research/research-project/raise-robots-and-artificial-intelligence-to-improve-social-skills-for-elementary-students/

Key Points:

1. Purpose of Project RAISE: The project focuses on using robotics and AI to aid the development of social and communication skills in elementary students, particularly those with autism spectrum disorders. The initiative seeks to merge technology, engineering, science, and math skills with targeted social skills training.

2. Engagement with Technology and Peers: The project involves students learning to code robots through an interactive AI agent, fostering both technical and social skills. Students first work with the AI agent alone and then bring a friend to collaborate, promoting social interactions and peer teaching.

3. Use of Avatar in Classroom: An avatar named Zoobee guides students through activities and provides non-judgmental, consistent feedback, reinforcing positive behaviors. This AI component helps students practice communication in a safe, controlled environment.

4. Recording and Analyzing Student Interactions: The project involves recording and analyzing student interactions with the AI and peers to study social reciprocity in conversations. This data helps in understanding and improving social skills among participants.

5. Biometrics for Emotional Recognition: The project also experiments with biometrics, using devices to monitor physiological changes indicative of stress. This aspect aims to understand and respond to the emotional needs of students better.

6. Impact on Students with Autism: The hosts discuss the potential of such AI-driven projects to significantly aid students with autism by providing a safe space to interact, learn, and express emotions.

7. Future Directions and Accessibility: The project aims to make its resources available for broader use after completion. The hosts emphasize the importance of such initiatives in making education more inclusive and tailored to individual student needs.

  continue reading

153 episodes

Artwork
iconShare
 
Manage episode 388846115 series 2780462
Content provided by Eric Imperiale. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Imperiale or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of Practical Access, Lisa Dieker and Rebecca Hines discuss Project RAISE (Robots and Artificial Intelligence to Improve Social Skills for Elementary Students), a federally funded initiative aimed at integrating AI and robotics in educational settings. The project is a collaboration with UCP of Central Florida and led by computer science expert Charlie Hughes, among others.

Link to website:

https://www.ucf.edu/research/research-project/raise-robots-and-artificial-intelligence-to-improve-social-skills-for-elementary-students/

Key Points:

1. Purpose of Project RAISE: The project focuses on using robotics and AI to aid the development of social and communication skills in elementary students, particularly those with autism spectrum disorders. The initiative seeks to merge technology, engineering, science, and math skills with targeted social skills training.

2. Engagement with Technology and Peers: The project involves students learning to code robots through an interactive AI agent, fostering both technical and social skills. Students first work with the AI agent alone and then bring a friend to collaborate, promoting social interactions and peer teaching.

3. Use of Avatar in Classroom: An avatar named Zoobee guides students through activities and provides non-judgmental, consistent feedback, reinforcing positive behaviors. This AI component helps students practice communication in a safe, controlled environment.

4. Recording and Analyzing Student Interactions: The project involves recording and analyzing student interactions with the AI and peers to study social reciprocity in conversations. This data helps in understanding and improving social skills among participants.

5. Biometrics for Emotional Recognition: The project also experiments with biometrics, using devices to monitor physiological changes indicative of stress. This aspect aims to understand and respond to the emotional needs of students better.

6. Impact on Students with Autism: The hosts discuss the potential of such AI-driven projects to significantly aid students with autism by providing a safe space to interact, learn, and express emotions.

7. Future Directions and Accessibility: The project aims to make its resources available for broader use after completion. The hosts emphasize the importance of such initiatives in making education more inclusive and tailored to individual student needs.

  continue reading

153 episodes

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