Content Modeling Based on Social Network Community Activity


Kyung-Rog Kim, Nammee Moon, Journal of Information Processing Systems
Vol. 10, No. 2, pp. 271-282, Apr. 2014
10.3745/JIPS.04.0001
Keywords: Social network community activities, content model, learning objects, content granularity, content aggregation level
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Abstract

The advancement of knowledge society has enabled the social network community (SNC) to be perceived as another space for learning where individuals produce, share, and apply content in self-directed ways. The content generated within social networks provides information of value for the participants in real time. Thus, this study proposes the social network community activity-based content model (SoACo Model), which takes SNC-based activities and embodies them within learning objects. The SoACo Model consists of content objects, aggregation levels, and information models. Content objects are composed of relationship-building elements, including real-time, changeable activities such as making friends, and participation-activity elements such as “Liking” specific content. Aggregation levels apply one of three granularity levels considering the reusability of elements: activity assets, real-time, changeable learning objects, and content. The SoACo Model is meaningful because it transforms SNC-based activities into learning objects for learning and teaching activities and applies to learning management systems since they organize activities -- such as tweets from Twitter -- depending on the teacher’s intention.


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Cite this article
[APA Style]
Kyung-Rog Kim and Nammee Moon (2014). Content Modeling Based on Social Network Community Activity. Journal of Information Processing Systems, 10(2), 271-282. DOI: 10.3745/JIPS.04.0001.

[IEEE Style]
K. Kim and N. Moon, "Content Modeling Based on Social Network Community Activity," Journal of Information Processing Systems, vol. 10, no. 2, pp. 271-282, 2014. DOI: 10.3745/JIPS.04.0001.

[ACM Style]
Kyung-Rog Kim and Nammee Moon. 2014. Content Modeling Based on Social Network Community Activity. Journal of Information Processing Systems, 10, 2, (2014), 271-282. DOI: 10.3745/JIPS.04.0001.