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Real Time Emergent Learning (RTEL): a promising approach for adaptive programming
conference contribution
posted on 2018-02-12, 15:11 authored by Hakim HadjelIn 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 ConferenceCitation
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 UniversityVersion
- 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
2017Notes
This is a conference paper.Other identifier
WEDC_ID:22671Language
- en