Event Information
Outline:
1. Introduction to CS & AI in Early Learning
2. Overview of the importance of CS & AI education.
Why start in early learning? Cognitive development and technological readiness.
Developmentally Appropriate Tools
3. Introduction to simple robots (e.g., Bee-Bots, KIBO) and beginner coding platforms (e.g., ScratchJr).
How these tools align with play-based and inquiry-based learning models.
4. Demonstration of activities using robots to teach foundational CS concepts (sequencing, loops, pattern recognition).
Example lessons incorporating robotics into storytelling, math, and social-emotional learning.
Teaching AI to Young Learners
5. What is AI, and how can it be introduced to early learners? (Basic concepts of machine learning, pattern recognition).
Examples of AI tools for young children (AI-based storytelling, virtual assistants for learning).
Ethical Implications in Teaching AI
6. Introducing fairness, bias, and ethics in AI at a young age.
Encouraging empathy and collaboration through technology.
Interactive Group Discussion and Q&A
7. Sharing challenges and successes in integrating CS/AI into the early learning curriculum.
Brainstorming future ideas for expansion and cross-curricular connections.
• Bers, M.U. (2018). Coding as a Playground - Programming and Computational Thinking in the Early Childhood Classroom. Routledge.
• Kazakoff, E.R. & Bers, M.U. (2014). Put your robot in, Put your robot out: Sequencing through programming robots in early childhood. Journal of Educational Computing Research, 50(4).
• Kazakoff, E., Sullivan, A., & Bers, M.U. (2013). The effect of a classroom-based intensive robotics and programming workshop on sequencing ability in early childhood. Early Childhood Education Journal, 41(4), 245-255.
• Pugnali, A., Sullivan, A., & Bers, M.U. (2017) The Impact of User Interface on Young Children’s Computational Thinking. Journal of Information Technology Education: Innovations in Practice, 16, 172- 193.