The Open UniversitySkip to content

Teaching and Learning at Scale: Futures

Ferguson, Rebecca (2019). Teaching and Learning at Scale: Futures. In: Ferguson, Rebecca; Jones, Ann and Scanlon, Eileen eds. Educational visions: The lessons from 40 years of innovation. London: Ubiquity Press, pp. 33–50.

Full text available as:
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (205kB) | Preview
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


This chapter considers recent work toward the vision ‘Teams can successfully teach any number of students at a distance’, showing how a substantial body of TEL research work can be built up over time, responding to changes in society. In particular, it demonstrates how continuing work towards this vision relates to the emergence of massive open online courses (MOOCs) and, more broadly, to teaching and learning at scale. The chapter shows how the different elements of the Beyond Prototypes framework, and its emphasis on bricolage and persistent intent, can be used to support the development of a research agenda that supports practice worldwide. The chapter also looks at current and future work in this area, identifying key areas where work is still needed – learning design, educator teams, widening access, approaches to assessment and accreditation, and new forms of pedagogy.

Item Type: Book Section
Copyright Holders: 2019 The Authors
ISBN: 1-911529-80-3, 978-1-911529-80-4
Keywords: learning futures; learning at scale; MOOCs; massive open online course; FutureLearn; FutureLearn Academic Network; FLAN; Beyond Prototypes
Academic Unit/School: Institute of Educational Technology (IET)
Research Group: OpenTEL
Item ID: 68572
Depositing User: Rebecca Ferguson
Date Deposited: 13 Jan 2020 08:56
Last Modified: 13 Jan 2020 11:47
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU