Crowdsourced microlearning: From micro-content to micro-arguments
7th International Microlearning Conference 27.September 2013, Krems/Austria
Centre for Social Innovation | Christian Voigt
Maslow’s Hammer: If all you have is a
hammer everything looks like a nail.
Centre for Social Innovation | Christian Voigt
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Are we overburdening Microlearning?
The starting point
• Common interest in supporting / designing collaboration on a micro-scale (e.g. Micro-tasking, Micro-learning)
– inclusion, work in progress (Christian Voigt, ZSI)– biodiversity and health (Denis Havlik, AIT)– policy development (Hannes Leo, cbased)– workplace learning (Manuela Vogler, RSA)
Centre for Social Innovation | Christian Voigt
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Learning settings are important …
LLL, workplaces, every day learning …schools, higher ed, vocational trainings ??
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Crowdsourced Microlearning
Two contextual building blocks Microlearning Crowdsourcing / Crowdtasking
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Things about Microlearning, we find interesting …
• Kind of ‘learning by doing’
• Leveraging intrinsic motivation (providing a compelling sense of purpose, encouraging self-determined selection of tasks, giving access to a community etc.)
• Part of balancing informal and formal / standardised learning formats (LLL vs. schools)
Centre for Social Innovation | Christian Voigt
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And then there is Crowdsourcing …
• a collaboration model enabled by • people-centric web technologies • to solve individual, organizational, and societal
problems ...
Centre for Social Innovation | Christian Voigt
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Centre for Social Innovation | Christian Voigt
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Centre for Social Innovation | Christian Voigt
Microlearning 7.0 – Krems 2013 9http://mergers.galaxyzoo.org/merger_preview
Crowdsourcing
Centre for Social Innovation | Christian Voigt
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Crowd Input
heterogeneous homogeneous
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Val
ue
Ou
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Collection (e.g. citizen
science)
Combination(e.g. Ratings)
Competition(e.g. problem
solving)
Collaboration (e.g. Wikipedia)
Geiger et al. (2012)
Challenges for Crowdsourcing
• Quality of crowdsourced information: Learning for crowdsourcing (e.g. contributions
• Sustained participation:Learning from crowdsourcing (e.g. motivation by getting to know the bigger picture)
Centre for Social Innovation | Christian Voigt
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Remaining challenges for Microlearning
• micro-content that is self-sufficient, in terms of the information provided as well as the unobtrusive intelligence contained
• bricolage-like didactics (Hug, 2010) that can link chronologically and geographically distributed ‘micro-steps’ to form coherent learning experiences
• Generation of situation-specific ‘micro impulses’ (Lindner, 2007)
Centre for Social Innovation | Christian Voigt
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Conceptual Framework
• Content
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Expected Benefits • Authenticity• Macrostructure• Innovating learning
(crowd learning, geo-learning / fencing)
Centre for Social Innovation | Christian Voigt
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Case studies
Centre for Social Innovation | Christian Voigt
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Crowd Characteristics
heterogeneous homogeneous
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erge
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Val
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Cre
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Envirofi
Know
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se Cbased
Contact Details twitter.com/chrvoigt
slideshare.net/chrvoigt
linkedin.com/in/chrvoigt
univie.academia.edu/chrvoigt
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