Dear all, In the next academic year (from October 2019) I am going to co-run a term-long module for second year biology undergraduates (UK university), thought up with the following parameters in mind:
- a module that would introduce students to data analysis approaches and group work - students (cohort of up to 100 students, split in two classes) will be randomly assigned to groups 4-6 students each - the term is 12 weeks long, 2-hour sessions once per week - we will only be using R with R Studio and likely only tidyverse/R Notebooks approach (no git) - for almost all students this will be their first encounter with programming in general and R in particular (they all had some SPSS-based statistics a year before); this is also the first time this module will be run this way The idea is to spend the first few weeks introducing students to data analysis approaches with some statistical analysis (Carpentries-style) and then each group of students will be given a (biological) dataset to analyse. They will need to do some data prep, cleaning, QC, stats and plotting/visualisation. Their assessment is based on a group presentation (PowerPoint style) of their analysis and results (presented to the entire cohort at the end of the term) and on “performance” (ie work and contributions of each student within each group). I am (thinking out loud here) looking for ideas on how to assess within-group student performance/learning such that it would reflect individual contributions and help us avoid imbalances in the workload within group. So far our idea is simply based on 2-3 anonymous surveys collected during the term, where members of each group would grade contributions of every other member of the group. We would collect these surveys and be able to detect potential problems during the term; if everything works fine, these surveys would contribute to the final assessed mark for the term for each student. I would be very grateful for ideas, comments and tips on how to do it better :-) Best Jarek -- Jarek Bryk School of Applied Sciences University of Huddersfield Queensgate, Huddersfield HD1 3DH Office JP3/22 | Tel. +44 (0) 1484 47 2708<tel:+44%201484%2047%202708> [email protected]<mailto:[email protected]> | @jarekbryk | bryklab.net<http://bryklab.net/> orcid.org/0000-0002-2791-9709<http://orcid.org/0000-0002-2791-9709> practicalsyntheticbiology.net/<http://practicalsyntheticbiology.net/> <- new parts available! addgene.org/Jaroslaw_Bryk/<http://addgene.org/Jaroslaw_Bryk/> (guidelines coming soon) bryklab.net/compbioftw/<http://bryklab.net/compbioftw/> nextgenbiologists.org<http://nextgenbiologists.org> University of Huddersfield inspiring tomorrow's professionals. [http://marketing.hud.ac.uk/_HOSTED/EmailSig2014/EmailSigFooter.jpg] This transmission is confidential and may be legally privileged. If you receive it in error, please notify us immediately by e-mail and remove it from your system. If the content of this e-mail does not relate to the business of the University of Huddersfield, then we do not endorse it and will accept no liability. ------------------------------------------ The Carpentries: discuss Permalink: https://carpentries.topicbox.com/groups/discuss/T11c9c2a3d80bc034-M803a1b42d362cb2671dc7335 Delivery options: https://carpentries.topicbox.com/groups/discuss/subscription
