talk-moodlequiz
Slides and resources for the moodlequiz talk OZCOTS 2023
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Slides and resources for the moodlequiz talk OZCOTS 2023
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README.md
Creating flexible e-learning quizzes with literate programming
OZCOTS presentation (2023-12-15)
Slides and notes for a presentation about moodlequiz at the 11th Australian Conference on Teaching Statistics (OZCOTS 2023).
Authored by: * Mitchell O'Hara-Wild (presenting author) * Emi Tanaka * Thomas Fung * Iris Jiang
Abstract
E-learning quizzes with automated marking systems allow educators to assess students’ abilities, motivate learning, give automatic and instant feedback, and are scalable to a large number of students. Many quiz questions prevalent in teaching statistics use numerical and single/multiple choice responses. These types of questions can be algorithmically generated to create multiple versions of the question with different instances of randomised tasks, datasets and/or inputs. In practice, quiz creators must conform to a constrained and/or rigid structure due to the limitations of the deployment platform, which may not align with the natural order of thinking.
In this talk, I provide a higher-order overview of creating algorithmic e-learning quizzes and propose a set of literate programming design principles for a robust, yet flexible system to create these quizzes. The design of this system is implemented in the moodlequiz R package for the free and open-source learning management platform Moodle. The core set of literate programming design principles can be extended to other learning management platforms.
Structure
- Introduction
- Moodle quizzes
- Why Moodle? (Own use, open source, question imports)
- Improved quiz creation
- Literate programming in teaching statistics
- Introducing moodlequiz
- Use for writing quizzes
- Randomisation
- Future work (Quarto, other platform formats)
Format
12 minute presentation, 3 minutes for questions.
Bio
Mitchell O’Hara-Wild (he/him) is a PhD student, teaching associate and research assistant at Monash University. He teaches applied forecasting, and specialises in R package development, data analysis and statistical computing. Mitchell holds a Bachelor of Commerce (Honours) with a major in econometrics, and a Bachelor of Science majoring in computational science and mathematical statistics. He develops several widely used R packages, and operates a data consultancy in which he conducts workshops, explores data, and creates statistical software tools.
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- Name: Mitchell O'Hara-Wild
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