Towards a smart learning environment for smart city governance

Hammad, Rawad; Ludlow, David

Abstract

Copyright © 2016 ACM. Educational services provided to various stakeholders need to be actively developed to accommodate the diversity of learning models and to get the advantages of available resources (e.g. data) in smart cities governance. Despite the substantial literature on smart cities, for Technology-Enhanced Learning (TEL) and its related domains such as learning analytics and big data, little effort has been given to the creation of connectivity to smart cities governance to meet stakeholders' demands, even though this connection may generate various challenges arising from conflict of interests between stakeholders and organisations. This paper proposes a structural framework for successful application of smart learning environments in the context of smart city governance. It reflects on selected challenges and proposes some future directions.

• Presentation Conference Type: Conference Paper (published)
• Conference Name: Proceedings - 9th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2016
• Start Date: Dec 6, 2016
• End Date: Dec 9, 2016
• Acceptance Date: Oct 20, 2016
• Publication Date: Dec 6, 2016
• Deposit Date: Dec 31, 2016
• Publicly Available Date: Jan 4, 2017
• Peer Reviewed: Peer Reviewed
• Pages: 185-190
• Book Title: UCC '16 Proceedings of the 9th International Conference on Utility and Cloud Computing
• ISBN: 9781450346160
• DOI: https://doi.org/10.1145/2996890.3007859
• Keywords: smart learning environment, technology-enhanced learning, eLearning, smart city governance, open participatory planning,; learning analytics, big data
• Public URL: https://uwe-repository.worktribe.com/output/904463
• Publisher URL: http://dl.acm.org/citation.cfm?id=2996890.3007859
• Additional Information: Title of Conference or Conference Proceedings : The 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016),; Corporate Creators : Computer Science and Creative Technology, Centre for Sustainable Planning
• Contract Date: Dec 31, 2016