Rigour

Last updated on 2026-04-22 | Edit this page

Estimated time: 12 minutes

Overview

Questions

  • How do you write a lesson using Markdown and sandpaper?

Objectives

  • describe how rigour could help avoid paper retraction
  • Awareness of reproducibility concerns re: genAI outputs
  • awareness of limitations of explainable AI
  • awareness of business models and how these impact behaviours
  • describe how genAI use can impact disciplinary norms

What is rigour

Pre-learning: what are the things that influence rigour, what does it mean in the research process. this could include pre-registration.

Discussion

Describe how rigour could help avoid paper retraction

Read:

  • what were the issues,
  • what were the rigour components that contributed to retraction

Explainable AI

Definition of explainable AI: ….

Defintion of open source AI ….

Discussion

Think, Pair, Share

Read the definition of open source AI.

How much does it reduce blackbox and aid explainability?

Spend 2 minutes thinking about your response.

Take it in turns to share your thoughts with your neighbours.

The need for explainability

Pre-learning: introduce concept of attention economy, and how this relates to follow-up questions. Relate to pre-registration concept

Challenge

Challenge: Task review

Read the aim of the task:

Read the chat transcript:

Answer the questions:

  • the prepared plan was adhered to
  • if the original objective was met
Key Points
  • Use .md files for episodes when you want static content
  • Use .Rmd files for episodes when you need to generate output
  • Run sandpaper::check_lesson() to identify any issues with your lesson
  • Run sandpaper::build_lesson() to preview your lesson locally