Join us on June 16-17, 2025
This seminar is part of the STEEPNESS project. It focuses on how to assess learning in open environments with varying degrees of social interactions.A wide range of diverse stakeholders in Higher Education including students, teachers, pedagogues and decision makers will collaborate to build on existing knowledge on evaluation and facilitate the emergence of new ideas and ways of assessing. Relying on collective intelligence, we will work with speculative methods.
There are many open and social ways to learn— think of open educational resources and practices, hackathons, fab labs, associative contexts, etc.— but the methods for evaluating these learning experiences are still being developed or need better visibility. Assessing these types of learning can be particularly challenging, especially within the scope of institutional quality frameworks.
Openness is an umbrella term. In this context, what is relevant is that it is associated with values of access, transparency, agency and sharing. In terms of activity, similar to a community of practice, it starts from a joint interest in a specific object and/or practice. It grows into a form of self-governing activity, opening a space for a commons. Furthermore, it is based on establishing judicious connections among humans and artefacts and focuses on collectively enriching the object and/or practice of interest.
Social learning is a different way of thinking about how we learn. In very simple terms, rather than simply passing on information or repeating what we have been told, social learning involves actively building knowledge and skills through meaningful interactions with others. It encourages exploration, creativity, and the ability to cope with uncertainty.
The main questions we will explore in the seminar are: What does assessment mean? How to assess learning in open and social environments?
You are a teacher, lecturer, researcher, pedagogical advisor, decision maker or student in open and distant learning and/or an expert in assessment methods . Within this frame, you recognize yourself in one of the following profiles and will provide some material upfront:
The learning assessment system I am dreaming of looks like…
I have heard about an assessment system which looks like … and would like to know how it works
I know a theory and/or have developed an assessment system I would like to share with you as a best practice
Scientific Committee: Barbara Class, Mathilde Panes, Henrietta Carbonel, Jean-Michel Jullien
Date: June 16-17, 2025
Place: UniDistance Suisse, Schinerstrasse 18, 3900 Brig-Glis, Switzerland
Language: Mainly English, but everybody can express themselves in their own (national) language
Contact person: Mathilde Panes mathilde.panes(at)hepl.ch
Organisers : UniDistance Suisse and HEP Vaud
Some readings:
Bayne, S., & Ross, J. (2024). Speculative futures for higher education. International Journal of Educational Technology in Higher Education, 21(1), 39. https://doi.org/10.1186/s41239-024-00469-y
Boud, D., & Bearman, M. (2022). The assessment challenge of social and collaborative learning in higher education. Educational Philosophy and Theory, 56(5), 459-468. https://doi.org/10.1080/00131857.2022.2114346
Cambridge, D., Wenger-Trayner, E., Hammer, P., Reid, P., & Wilson, L. (2024). Theoretical and Practical Principles for Generative AI in Communities of Practice and Social Learning. In A. Buch, Y. Lindberg, & T. Cerratto Pargman (Eds.), Framing Futures in Postdigital Education: Critical Concepts for Data-driven Practices (pp. 229-239). Springer. https://doi.org/10.1007/978-3-031-58622-4_13
Deimann, M. (2013). Open Education and Bildung as Kindred Spirits. E-Learning and Digital Media, 10(2), 190-199. https://doi.org/10.2304/elea.2013.10.2.190
Deimann, M., & Farrow, R. (2013). Rethinking OER and their use: Open education as Bildung. The International Review of Research in Open and Distributed Learning, 14(3), 344–360. https://doi.org/10.19173/irrodl.v14i3.1370
Leonelli, S. (2023). Philosophy of Open Science. Cambridge University Press. https://doi.org/10.1017/9781009416368
Marton, F., & Saljö, R. (1984, 1997). Approaches to learning. In F. Marton, D. Hounsell, & N. Entwistle (Eds.), The experience of learning. Scottish Academic Press. http://www.docs.hss.ed.ac.uk/iad/Learning_teaching/Academic_teaching/Resources/Experience_of_learning/EoLChapter3.pdf
Deep learning webpage: https://www.psy.gla.ac.uk/~steve/courses/archive/CERE12-13-safari-archive/topic9/webarchive-index.html
Mottier Lopez, L., & Figari, G. (2012). Modèles et modélisations face à une crise du sens de l'évaluation en éducation. In Modélisations de l'évaluation en éducation (pp. 7-23). De Boeck Supérieur. https://doi.org/10.3917/dbu.lopez.2012.01.0007
Pomerantz, J., & Peek, R. (2016). Fifty shades of open. First Monday, 21(5). https://doi.org/10.5210/fm.v21i5.6360
Salonen, A. O., Laininen, E., Hämäläinen, J., & Sterling, S. (2023). A Theory of Planetary Social Pedagogy. Educational Theory, 73(4), 615-637. https://doi.org/10.1111/edth.12588