Learning in communities: How do outstanding users differ from other users?

Thiago Baesso Procaci, Sean W.M. Siqueira, Bernardo Pereira Nunes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

This paper reports on an investigation into outstanding and ordinary users of two Question & Answer (Q&A) communities. Considering some learning-related perspectives such as participation, linguistic traits, social ties, influence, and focus, we found that outstanding users are (i) more likely to engage in discussions; (ii) they tend to use more sophisticated linguistic traits; (iii) their inclusion into a discussion results in longer debates; (iv) they value the diversity of their connections; (v) they participate in several topics, rather than one specialist niche. These findings allow us to use behavioral patterns to predict whether a given user is outstanding and also predict which answer gives a definitive solution for a question.

Original languageEnglish
Title of host publicationProceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018
EditorsNian-Shing Chen, Maiga Chang, Ronghuai Huang, K. Kinshuk, Kannan Moudgalya, Sahana Murthy, Demetrios G Sampson
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages173-177
Number of pages5
ISBN (Print)9781538660492
DOIs
Publication statusPublished - 10 Aug 2018
Externally publishedYes
Event18th IEEE International Conference on Advanced Learning Technologies, ICALT 2018 - Bombay, India
Duration: 9 Jul 201813 Jul 2018

Publication series

NameProceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018

Conference

Conference18th IEEE International Conference on Advanced Learning Technologies, ICALT 2018
Country/TerritoryIndia
CityBombay
Period9/07/1813/07/18

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