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Learning LayersScaling up Technologies for Informal Learning in SME Clusters

Take Up My TagsExploring Benefits of Meaning Making in a Collaborative Learning Task at the WorkplaceSebastian Dennerlein, Paul Seitlinger, Elisabeth Lex, Tobias Ley

Organisation logo 1(drop here)

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Collaborative Knowledge Building

• Artefact mediated collaboration

• Reciprocal contribution to socially shared knowledge (meaning making)

• Important role in workplace learning but seldomly studied

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Individual and Collective Knowledge Co-evolve

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Personal pattern

Epistemic Distributed CognitionCollective Distributed Cognition

Individual Sensemaking and Pattern formation

Enculturation ofpatterns

Stabilization of Cultural pattern

Individual stabilization to form personal pattern

Aggregation to form CulturalPattern

Artefact-mediated Feedback

Collective Knowledge

Individual Knowledge

Ley, T., & Seitlinger, P. (2015). Dynamics of Human Categorization in a Collaborative Tagging System: How Social Processes of Semantic Stabilization Shape Individual Sensemaking. Computers in Human Behavior, 51, 140–151.

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What are the effects of uptake in collaborative knowledge building?

• Uptake: interacting with others’ interpretations and developing them further

• Hypothesis 1 (Social): Uptake improves shared understanding

• Hypothesis 2 (Individual): Uptake improves breadth of information search by cuing new ideas

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Experimental Study• Collaborative curation of web resources using a social

bookmarking system (KnowBrain)• Topic: Ways to improve knowledge exchange in organisations

– e.g. ‘Gamification & Playfulness’, ‘Inspiration Sources & Techniques’, ‘Collaboration Technologies’, ‘Socializing’ etc.

• Independent Variable– Persons with High Uptake Uhigh vs. Low Uptake Ulow

(uptake: clicked tags introduced by others, median split)• Dependent Measures

– H1: overlapping associations (Association Test)– H2: number of bookmarks collected and rate of exploring topics

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Association Test: Measuring Shared Understanding

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Participant 1 Participant 2Wiki Team workSocial Software Social SoftwareLearning InnovationCreativity Creativity

Groupware

Stimulus: “Collaboration Technologies”

Overlapping Associations

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The Tool: KnowBrain

Dennerlein, S., et al.: KnowBrain: an online social knowledge repository for informal workplace learning. In: EC-TEL 2015.

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Uptake leads to higher shared understanding

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High Uptake Condition Low Uptake Condition

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Uptake leads to higher shared understanding

• No prior difference in overlap in associations between Uhigh and Ulow

• Higher density of networks and higher number of weighted edges in Uhigh after study

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Uptake leads to more explored resources but slower exploration of topics

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β1 = 1.09

β1 + β2 = 0.79

Position in Resource Sequence

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Topi

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The role of uptake in collaborative knowledge building

• Important role of uptake on collaborative and individual learning processes

• Uptake has differential effects– higher shared understanding among collaborators– a more elaborative (rather than explorative)

search (“depth before breadth”)

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Where we are going with this

• Understanding the cognitive mechanisms of uptake– convergence vs. divergence

Seitlinger & Ley (2016): Reflective Search Model, Webscience Conference

– assimilation vs. accommodation Cress, Held & Kimmerle (2013): Collective knowledge of social tags

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Thank you

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Tobias LeyTallinn University

Professor for Learing Analytics and Educational Innovation

tley@tlu.ee skype tobias_ley

http://tobiasley.wordpress.com

Learning Layers ProjectICT EU-FP7, 12mEUR, 2012-2016

Web: http://learning-layers.euSoftware: http://github.com/learning-layers

http://Learning-Layers-eu – Scaling up Technologies for Informal Learning in SME Clusters – layers@learning-layers.eu

Project Consortium

Basiskarte: digitale-europakarte.de

Project Coordination

Learning Technology Research

Regional Application Clusters

Scaling Partners

Technology Partners

Health Care – Leeds

Construction & Building – Bremen