Toggle Main Menu Toggle Search

Open Access padlockePrints

Exploring Public Places as Infrastructures for Civic M-Learning

Lookup NU author(s): Dan RichardsonORCiD, Dr Clara Crivellaro, Dr Ahmed KharrufaORCiD, Dr Kyle Montague, Professor Patrick OlivierORCiD



This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Association for Computing Machinery, 2017.

For re-use rights please refer to the publisher's terms and conditions.


© 2017 Copyright is held by the owner/author(s). We present insights from a series of engagements with multiple stakeholders in local parks, aiming to explore the potential for technology to support bespoke outdoor civic learning activities. Our work investigates what it means to design for public spaces as infrastructures for civic learning. Rather than considering only parks' physical qualities or properties as resources for learning, we suggest that mobile technologies for civic learning would benefit from integrating incorporating the economic, socio-cultural and political infrastructures that comprise public spaces. Our findings identify significant opportunities and challenges in designing mobile applications aimed at fostering civic learning and enhancing the development of meaningful relationships with civic space. From our findings, we draw implications for designing digital platforms which harness places' existing multiple infrastructures as resources for civic learning. We also note technology's limitations, and produce a generalizable model of a civic m-learning design space.

Publication metadata

Author(s): Richardson D, Crivellaro C, Kharrufa A, Montague K, Olivier P

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 8th International Conference on Communities and Technologies

Year of Conference: 2017

Pages: 222-231

Online publication date: 26/06/2017

Acceptance date: 02/04/2016

Date deposited: 21/08/2017

Publisher: Association for Computing Machinery


DOI: 10.1145/3083671.3083678

Library holdings: Search Newcastle University Library for this item

ISBN: 9781450348546