Visualizing informal learning behavior from conference participants' Twitter data with the Ostinato Model
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Details
| Original language | English |
|---|---|
| Pages (from-to) | 584-595 |
| Number of pages | 12 |
| Journal | Computers in Human Behavior |
| Volume | 55A |
| DOIs | |
| Publication status | Published - Feb 2016 |
| Publication type | A1 Journal article-refereed |
Abstract
Network analysis is a valuable method for investigating and mapping the phenomena driving the social structure and sharing the findings with others. This article contributes to an emerging field of ‘smart data’ research on Twitter by presenting a case study of how community managers in Finland used this social media platform to construct an informal learning environment around an annually organized conference. In this empirical study we explore informal learning behavior in the project context, especially by analyzing and visualizing informal learning behavior from Twitter data using the Ostinato Model introduced in this paper. Ostinato is an iterative, user-centric, process-automated model for data-driven visual network analytics.
Keywords
- learning, informal learning, memory aids, Communities of Practice, Social network analysis, Visual network analysis, Twitter
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Field of science, Statistics Finland
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