Big Data Techniques to Improve Learning Access and Citizen Engagement for Adults in Urban Environments

Osborne, M. and Lido, C. (2016) Big Data Techniques to Improve Learning Access and Citizen Engagement for Adults in Urban Environments. In: International Conference of Taipei Learning City, Taipei, Taiwan, Nov 2016,

[img]
Preview
Text
135124.pdf - Accepted Version

527kB
[img]
Preview
Text (Mandarin version)
135124_Mandarin.pdf - Accepted Version

552kB

Abstract

This presentation explores the emerging concept of ‘Big Data in Education’ and introduces novel technologies and approaches for addressing inequalities in access to participation and success in lifelong learning, to produce better life outcomes for urban citizens. It introduces the work of the new Urban Big Data Centre (UBDC) at the University of Glasgow, presenting a case study of its first data product – the integrated Multimedia City Data (iMCD) project. Educational engagement and predictive factors are presented for adult learners, and older adult learners, in a representative survey of 1500 households. This was followed up with mobility tracking data using GPS data and wearable camera images, as well as one year’s worth of contextual data from over one hundred web sources (social media, news, weather). The chapter introduces the complex dataset that can help stakeholders, academics, citizens and other external users examine active aging and citizen learning engagement in the modern urban city, and thus support the development of the learning city. It concludes with a call for a more three-dimensional view of citizen-learners’ daily activity and mobility, such as satellite, mobile phone and active travel application data, alongside administrative data linkage to further explore lifelong learning participation and success. Policy implications are provided for addressing inequalities, and interventions proposed for how cities might promote equal and inclusive adult learning engagement in the face of continued austerity cuts and falling adult learner numbers.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Osborne, Professor Michael and Lido, Dr Catherine
Authors: Osborne, M., and Lido, C.
College/School:College of Social Sciences > School of Education > Social Justice Place and Lifelong Education
Copyright Holders:Copyright © 2016 The Authors
Publisher Policy:Reproduced with the permission of the authors.

University Staff: Request a correction | Enlighten Editors: Update this record