Sean P. Goggins, Ph.D.
Affiliations: | 2009 | University of Missouri - Columbia, Columbia, MO, United States |
Area:
Library Science, System Science Engineering, Social Psychology, Technology of EducationGoogle:
"Sean Goggins"Parents
Sign in to add mentor| James Laffey | grad student | 2009 | University of Missouri - Columbia | |
| (Knowledge construction, social identity and social network structure in completely online groups.) | ||||
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Publications
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| Borge M, Ong YS, Goggins S. (2020) A sociocultural approach to using social networking sites as learning tools Educational Technology Research and Development. 68: 1089-1120 |
| Introne J, Erickson I, Semaan BC, et al. (2020) Designing sustainable online support: Examining the effects of design change in 49 online health support communities Journal of the Association For Information Science and Technology. 71: 379-394 |
| Introne J, Goggins SP. (2019) Advice reification, learning, and emergent collective intelligence in online health support communities Computers in Human Behavior. 99: 205-218 |
| Xing W, Goggins SP, Introne J. (2018) Quantifying the Effect of Informational Support on Membership Retention in Online Communities through Large-Scale Data Analytics Computers in Human Behavior. 86: 227-234 |
| Goggins SP, Galyen KD, Petakovic E, et al. (2016) Connecting performance to social structure and pedagogy as a pathway to scaling learning analytics in MOOCs: An exploratory study Journal of Computer Assisted Learning. 32: 244-266 |
| Blincoe K, Sheoran J, Goggins S, et al. (2016) Understanding the popular users Information & Software Technology. 70: 30-39 |
| Goggins S, Xing W. (2016) Building models explaining student participation behavior in asynchronous online discussion Computers and Education. 94: 241-251 |
| Postner L, Burdge D, Jackson S, et al. (2015) Using humanitarian free and open source software (HFOSS) to introduce computing for the social good Acm Sigcas Computers and Society. 45: 35-35 |
| Mascaro CM, Goggins SP. (2015) Technologically mediated political discourse during a nationally televised GOP primary debate Journal of Information Technology and Politics. 12: 252-269 |
| Xing W, Guo R, Petakovic E, et al. (2015) Participation-based student final performance prediction model through interpretable Genetic Programming Computers in Human Behavior. 47: 168-181 |