Projects per year
Abstract
Informal learning in online knowledge building communities (OKBCs) often starts with online academic help seeking, and with visitor inquiries on specific topics. In such a context, learning presupposes adequate OKBC response. Employing a social learning analytics approach based on natural language processing and Bakhtin's theory of dialogism, this study aims to predict blogger OKBC response. Manipulating the blog topic (well-defined vs. ill-defined) and the visitor inquiry format (off-topic vs. on-topic), a field experiment with a 2 x 2 factorial design was conducted on a sample of N = 68 blogger communities with a total of 25,303 members. For the entire sample, the community response was influenced only by the inquiry format. In a separate examination of the experimental groups, however, this remained true only for the well-defined topic, whereas for the ill-defined topic the community response only depended on the previously established dialog quality. The findings suggest identification criteria for responsive communities, which can support newcomer integration in OKBCs and, from a larger perspective, the use of OKBCs as components of formal learning environments.
Original language | English |
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Pages (from-to) | 349–354 |
Number of pages | 6 |
Journal | Computers in Human Behavior |
Volume | 89 |
Issue number | 2018 |
DOIs | |
Publication status | Published - Dec 2018 |
Externally published | Yes |
Keywords
- Academic help seeking
- Dialog analysis
- HELP-SEEKING
- INTERVAL
- NETWORK ANALYSIS
- Newcomer integration
- ONLINE COMMUNITIES
- Online knowledge building communities
- PARTICIPATION
- SUPPORT
- Social learning analytics
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Dive into the research topics of 'Automated dialog analysis to predict blogger community response to newcomer inquiries'. Together they form a unique fingerprint.Projects
- 1 Finished
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Rage: Realising an Applied Gaming Eco-system
Westera, W., Georgiadis, K., Saveski, G., van Lankveld, G., Bahreini, K., van der Vegt, W., Berkhout, J., Nyamsuren, E., Kluijfhout, E. & Nadolski, R.
1/02/15 → 31/07/19
Project: Research