Using LLMs strategically for learning (13-16)

Across five lessons, learners explore how large language models work, how to write strong prompts, and how to evaluate the reliability of AI-generated outputs. Co-developed by the Raspberry Pi Foundation and Google DeepMind.

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Actualizat la: 28 iun 24

Lecții

Unit overview

Actualizat la: 24 sep 26

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Learning graph

Actualizat la: 22 aug 26

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Lesson 1: What are large language models?

Learners will explore what large language models (LLMs) are and how they generate output through predictions.

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Lesson 2: Learning with LLMs

Learners will explore the different types of learning interactions called ‘feedback types’: telling, guiding and challenging.

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Lesson 3: Writing prompts

Learners explore how to prompt a large language model (LLM) to get clearer, more useful LLM responses.

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Lesson 4: Evaluating prompts

Learners will use a large language model (LLM) to write and refine their prompts, compare strong and weak examples, and learn to evaluate LLM outputs by checking for accuracy, bias, and usefulness for their learning.

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Lesson 5: My responsible use of LLMs

Learners will reflect on the risks of over-relying on LLMs and how this may impact their long-term learning and skill development.

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