Heather Cleland Woods and Phil McAleer
2019 July 7
Introducing reproducible methods at a grassroots level
Large class sizes
Teaching rankings
High Entry Tariff
Diverse and high acheiving student body
First two years of a four year course
1st Year
20 Weekly General Research Methods Lecture (1hr)
Bi-Weekly Practical Lab (2hrs – 10 in total) (1 Staff + 2 TAs)
First two years of a four year course
2nd Year
10 Weekly Research Design and Planning Lecture (1hr) Semester 1
10 Weekly Qualitative Analysis Lecture (1hr) Semester 2
20 Weekly Statistics Lecture
Weekly Practical Lab (2hrs – 18 in total) (2 Staff + additional TA support)
Staff and Student feedback
Students suggested repetition between years
Staff noticed limited understanding of key concepts and issues with handling and visualising data
Call for us to review our teaching of research methods
Integrate free and open source data analysis software
Innovative, taking a wider view of skills
Ethos
Skills
Community
Equipping students to tackle the challenges in our field
Return to focussing students on the question you are answering and the methods you are using
Part of a wider culture shift
Not about finding a significant effect
R is our tool as it fits the skills we want our students to have
You have to be clear on what it is you want from your students or it will be harder to bring them along with you
Use your tools where you can to get better at them!
Practice doesn't make you perfect but it will make you better!
Labs of 2 hours split into
Level 1
Level 2
Moved away from simply teaching a cookbook of inferential statistics
In a 10 week module, do students really need to learn every possible test they might come across?
Focus in the beginning on data management, data wrangling, visualisation, reproducible scripts, probability
Build the basic skills for a solid foundation
As much as possible used realistic data
Getting data into shape is more than half the battle
Focus on becoming confident and competent with data
Level 1
Level 2
Moved away from quiet labs with students working on tasks individually
Group work now dominates
Working through tasks with peers as we would
Students are asking for help but staff refer back to resources on VLE and previous conversations online
Possible for team to provide support in one forum
Information delivery and timing
Diversity of skills
Student expectations
Thank you
@clelandwoods @McAleerP