Fecha de actualización: 23 dic 25
Fecha de actualización: 24 sep 26
Fecha de actualización: 22 ago 26
Learners will explore what large language models (LLMs) are and how they generate output through predictions.
Learners will explore the different types of learning interactions called ‘feedback types’: telling, guiding and challenging.
Learners explore how to prompt a large language model (LLM) to get clearer, more useful LLM responses.
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.
Learners will reflect on the risks of over-relying on LLMs and how this may impact their long-term learning and skill development.
