AIFramework | CoDesign ESD

Provides a clear and structured approach to embedding Artificial Intelligence (AI) into curriculum design.

The framework ensures that AI is used as a tool for meaningful and equitable learning experiences.

Equips educators to lead the transformation of learning in an increasingly digital world.

Empowers educators to navigate the complexities of AI integration in education with confidence and purpose.

CoDesignS AI Framework infographic showing four key highlights: provides a structured approach to embedding AI into curriculum design, ensures AI is used for meaningful and equitable learning, equips educators to lead transformation in a digital world, and empowers educators to navigate AI integration with confidence and purpose. Licensed under CC BY-NC-ND 4.0.

CoDesignS AI Framework (2024) licensed under a Creative Commons Attribution-NonCommercial – Noderivatives 4.0 International License

Anatomy of a Prompt diagram from the CoDesignS AI Framework, showing the ROCKS acronym in a circular iterative process: R for Role, O for Objective, C for Community, K for Key, S for Shape. CoDesignS AI Framework (2024) CC BY-NC-ND 4.0 International License.

CoDesignS AI Framework (2024) CC BY-NC-ND 4.0 International License

“It’s not just about AI efficiency anymore—it’s about digital sustainability. And the more iterative or unclear your prompts, the more resources are used.”
CoDesignS AI Framework, 2024; Toro-Troconis, 2025

#ALT Blog · 15 May 2025

Think before you prompt: Reduce your AI carbon footprint with ROCKS

Toro-Troconis, M. (2025). #ALT Blog. Association for Learning Technology.

Read the blog post →

The framework is organised into six essential phases, each designed to build a comprehensive understanding of AI and its applications within education. By progressing through these phases, educators gain the tools to confidently and responsibly incorporate AI into their practice.

Phase 1: What is AI?

Introduces the foundational concept of AI, demystifying its definition and exploring its core characteristics, including machine learning and Generative AI tools such as Large Language Models (LLMs).

Phase 2: Machine Learning

Explains how ML enables AI to analyse data, identify patterns, and make predictions or decisions, and how ML algorithms are trained to power AI tools across various domains.

Phase 3: Ethics & Academic Integrity

Addresses critical issues such as bias in AI outputs, data privacy, and the potential impact of AI on academic integrity, with strategies to uphold ethical standards and promote fairness.

Phase 4: AI Teaching & Learning Competencies

Drawing on UNESCO's guidelines, focuses on developing the competencies educators need to effectively integrate AI into teaching and learning, emphasising digital literacy and critical thinking.

Phase 5: Prompt Engineering

Introduces the concept of prompt engineering — a critical skill for interacting with AI systems. Educators learn to craft precise prompts using the CoDesignS ROCKS' Anatomy of a Prompt framework.

Phase 6: Applying Prompt Engineering for Teaching and Learning

Focuses on applying prompt engineering to improve teaching and assessment practices, mapped to the UNESCO AI Competency Framework for Teachers across five key aspects and three progression levels.

Download the CoDesignS AI Framework

CoDesignS AI Framework

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CoDesignS AI Framework (2024) V02 developed by Dr Maria Toro-Troconis is licensed under a Creative Commons Attribution-NonCommercial – Noderivatives 4.0 International License