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Real Time Emergent Learning (RTEL): a promising approach for adaptive programming

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conference contribution
posted on 12.02.2018, 15:11 by Hakim Hadjel
In the WASH sector, learning is too often an afterthought in programme design and insufficient in practice. The Real Time Emergent Learning (RTEL) approach is a framework that has been used to help set up systematic learning and nurture a culture of learning collectively for rapid programmatic adaptations. RTEL is characterised by 4 principles and a focus on making learning: real-time, networked, evolving and reflexive’. When facilitated and nurtured, this approach has the potential to create the conditions for learning to emerge from practice and help inform operational and strategic decision making. So far, the shift to a real-time learning mode in two of GSF supported programmes (Kenya and Cambodia) has resulted in significant changes. The aim of this paper is to present the conceptual framework, how some of the concepts are applied in practice, the challenges, and some reflections points.

History

School

  • Architecture, Building and Civil Engineering

Research Unit

  • Water, Engineering and Development Centre (WEDC)

Published in

WEDC Conference

Citation

HADJEL, H., 2017. Real Time Emergent Learning (RTEL): a promising approach for adaptive programming. IN: Shaw, R.J. (ed). Local action with international cooperation to improve and sustain water, sanitation and hygiene (WASH) services: Proceedings of the 40th WEDC International Conference, Loughborough, UK, 24-28 July 2017, Paper 2733, 6pp.

Publisher

© WEDC, Loughborough University

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2017

Notes

This is a conference paper.

Other identifier

WEDC_ID:22671

Language

en

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