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Intelligent Agent Framework for AI Curriculum Organization

Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

The curriculum is organized around the concept of an intelligent agent situated in an environment, cycling through sensing and actuation stages. Five internal processes are identified: motivation, representation, learning, reasoning, and memory. The article states that 'the agent is continuously interacting with its environment in a cycle' and that 'the agent can learn from its experience in order to improve the action selection process.'

Design Implications

Context

Requirements

  • The framework requires that all five operational blocks be present in any intelligent agent implementation, though their complexity can vary

Constraints

  • Memory is excluded as a dedicated topic because 'a proper implementation of a memory system is out of the scope of this education level'

Target Learners

  • High school students aged 15-18 in scientific programmes

Learning Goals

  • Understanding the fundamental components and processes of intelligent agents

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 intelligent-agent-framework-ai-curriculum
title Intelligent Agent Framework for AI Curriculum Organization
description The curriculum is organized around the concept of an intelligent agent situated in an environment, cycling through sensing and actuation stages.
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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