Skip to main content

Embedding open and reproducible science into teaching: A bank of lesson plans and resources.

Pownall, M., Azevedo, F., Alaa, A., Mahmoud, E., Vasilev, M. R., Pennington, C.R., Robertson, O., Vel Tromp, M., Liu, M., Makel, M.C., Tonge, N., Moreau, D., Horry, R., Shaw, J., Tzavella, L., McGarrigle, R., Talbot, C. V., FORRT, and Parsons, S., 2021. Embedding open and reproducible science into teaching: A bank of lesson plans and resources. Scholarship of Teaching and Learning in Psychology. (In Press)

Full text available as:

Open Science Teaching Paper FINAL.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.


DOI: 10.1037/stl0000307


Recently, there has been a growing emphasis on embedding open and reproducible approaches into research. One essential step in accomplishing this larger goal is to embed such practices into undergraduate and postgraduate research training. However, this often requires substantial time and resources to implement. Also, while many pedagogical resources are regularly developed for this purpose, they are not often openly and actively shared with the wider community. The creation and public sharing of open educational resources is useful for educators who wish to embed open scholarship and reproducibility into their teaching and learning. In this article, we describe and openly share a bank of teaching resources and lesson plans on the broad topics of open scholarship, open science, replication, and reproducibility that can be integrated into taught courses, to support educators and instructors. These resources were created as part of the Society for the Improvement of Psychological Science (SIPS) hackathon at the 2021 Annual Conference, and we detail this collaborative process in the article. By sharing these open pedagogical resources, we aim to reduce the labour required to develop and implement open scholarship content to further the open scholarship and open educational materials movement.

Item Type:Article
Group:Faculty of Science & Technology
ID Code:36100
Deposited By: Symplectic RT2
Deposited On:12 Oct 2021 14:32
Last Modified:11 May 2022 13:31


Downloads per month over past year

More statistics for this item...
Repository Staff Only -