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Embedded Intelligence Approach to AI Education Using Smartphones

Design · All designs
Evidence · no claims cited

Description

The curriculum centers on programming real-world devices that interact with real environments, using smartphones as the central technological element. The article states that 'Current smartphones have the technological level required for AI teaching in terms of sensors, actuators, computing power and communications.' This approach reduces cost and makes AI education feasible at schools with limited budgets.

Design Implications

Context

Requirements

  • Students must have access to smartphones with adequate sensors, actuators, computing power and communications

Constraints

  • Relies on Android smartphones; budget limitations may arise if students cannot use their own devices

Target Learners

  • High school students aged 15-18 in scientific programmes

Learning Goals

  • Understanding AI working principles through programming embedded intelligence systems

Claims

Examples

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Key Sources

  • Bellas, F., Guerreiro-Santalla, S., Naya, M., & Duro, R. J. (2023). AI Curriculum for European High Schools: An Embedded Intelligence Approach. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-022-00315-0
Page metadata
Field Value
type design
id embedded-intelligence-ai-curriculum-smartphones
title Embedded Intelligence Approach to AI Education Using Smartphones
description The curriculum centers on programming real-world devices that interact with real environments, using smartphones as the central technological element.
status review
generated by process:settle-candidates on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — bellas-2023

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