Screen Free Coding and Robotics for Little Learners
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HBGCC - Posters, Table 21
Session description
Outline
We will begin with a Padlet and/or small group discussion where participants share their own experiences with coding and robotics with early learners. The presenter will try to engage reluctant teachers with ideas and positivity that little learners are capable of engaging in computational thinking. (10 minutes) We will then discuss the importance of developing computational thinking as foundational skills when students are young, and creating developmentally appropriate opportunities for students to experience coding and robotics. A simple hands-on coding game will be introduced for participants to engage in. This will get them up and moving and interacting with one another. (10 min) The presenter will then introduce the KIBO robot, which is a screen-free robot designed for young learners. There will be robots available for participants to work with and interact with during the session. A simple introductory lesson will be introduced, and then participants will be asked to work in small groups to design and complete a code. (20 min) After participants have engaged with and experienced KIBO, the presenter will share additional examples, ideas and resources for using KIBO in their classrooms. This will include access to resources from KIBO and their robotics curriculum designed for PK-2nd grade students. (10 minutes) There will be more time to explore the robots and/or a Q&A session with the presenter. (10 minutes)
Supporting research
https://kinderlabrobotics.com/wp-content/uploads/2021/03/Making-the-Case-for-KIBO.pdf
https://kinderlabrobotics.com/wp-content/uploads/2022/12/KIBO-Research-Basis-Flyer.pdf
https://sites.bc.edu/codingasanotherlanguage/
Presenters

Session specifications
Topic:
Grade level:
Audience:
Attendee devices:
Attendee device specification:
Laptop: Chromebook, Mac, PC
Tablet: Android, iOS, Windows
Subject area:
ISTE Standards:
Computational Thinker
- Formulate problem definitions suited for technology-assisted methods such as data analysis, abstract models and algorithmic thinking in exploring and finding solutions.
- Break problems into component parts, extract key information, and develop descriptive models to understand complex systems or facilitate problem-solving.
- Understand how automation works and use algorithmic thinking to develop a sequence of steps to create and test automated solutions.
TLPs:
Influencer Disclosure:
Related exhibitors: | KinderLab Robotics, Inc. |