The electric bike vision of human-centered educational technology¶

Theory · All theories
Evidence · no claims cited

Description¶

The presentation articulates a framing metaphor for AI in education drawn from the Office of Ed Tech report: we envision a technology enhanced future more like an electric bike and less like robot vacuums. On an electric bike, the human is fully aware and fully in control, but their burden is less, and their effort is multiplied by the supporting technology. This contrasts with automation that removes human agency from the loop.

Design Implications¶

Context¶

Requirements¶

• technology must leave the human fully aware and fully in control while reducing burden and multiplying effort

Constraints¶

Target Learners¶

• K-12 students
• teachers
• district leaders

Target Learning Objectives¶

• human-centered adoption of AI in teaching and learning

Claims¶

Related Theories¶

• Intelligence Augmentation Education Design
• Technology-as-amplifier: learning technology intensifies and scales the impacts of design tradeoffs in either direction
• Three-layer definition of AI for learning: computational intelligence, specific capabilities, and a futures toolkit
• Empathy by design: four guiding principles for adult ed-tech development
• Four most common AI technology types in cyberlearning: intelligent tutoring systems, machine learning, speech/vision/natural interaction, and social robotics and avatars

Examples¶

• Ask what students should deeply learn before incorporating GenAI into activities

Key Sources¶

• Judi Fusco, Pati Ruiz, Jeremy Roschelle. (2023). Artificial Intelligence and the Future of Teaching and Learning. Digital Promise presentation. https://tech.ed.gov/ai/