Content in context: analyzing interactions in a graduate-level academic Facebook group

International Journal of Educational Technology in Higher Education

Volumn 14, Issue 1, 2017, Pages

  Moore Russo, Deborah ^a   Radosta, Michael ^a   Martin, Kristi ^a   Hamilton, Sara ^a  

^a UNIVERSITY AT BUFFALO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85020713767     PISSN: None     EISSN: 23659440     Source Type: Journal    
DOI: 10.1186/s41239-017-0057-y     Document Type: Article

References (40)

1. Arthur, C. (2006). What is the 1% rule? The Guardian, Retrieved May 23, 2016 from http://www.theguardian.com/technology/2006/jul/20/guardianweeklytechnologysection2.
2. Bowman, N. D., & Akcaoglu, M. (2014). “I see smart people!”: Using Facebook to supplement cognitive and affective learning in the university mass lecture. The Internet and Higher Education, 23, 1–8.
3. Boyd, D., & Ellison, N. (2010). Social network sites: definition, history, and scholarship. IEEE Engineering Management Review, 3(38), 16–31.
4. Bryman, A. (2001). Social research methods. Oxford: Oxford University Press.
5. Bugeja, M. J. (2006). Facing the Facebook. Chronicle of Higher Education, 52(21), C1–C4.
6. Cuesta, M., Eklund, M., Rydin, I., & Witt, A.-K. (2015). Using Facebook as a co-learning community in higher education. Learning, Media and Technology, 41(1), 1–18.
7. Cvijikj, I. P., & Michahelles, F. (2013). Online engagement factors on Facebook brand pages. Social Network Analysis and Mining, 3(4), 843–861.
8. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–339.
9. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982–1003.
10. Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user systems: theory and results. Cambridge: Unpublished doctoral dissertation, Massachusetts Institute of Technology.
11. Echenique, E. G., Molías, L. M., & Bullen, M. (2015). Students in higher education: social and academic uses of digital technology. Revista de Universidad y Sociedad del Conocimiento, 12(1), 25–37.
12. Facebook (2016). Company Info | Facebook Newsroom. Retrieved March 21, 2016, from http://newsroom.fb.com/company-info/.
13. Gettman, H. J., & Cortijo, V. (2015). “Leave me and my Facebook alone!” Understanding college students’ relationship with Facebook and its use for academic purposes. International Journal for the Scholarship of Teaching and Learning, 9(1), Article 8.
14. Gray, R., Vitak, J., Easton, E. W., & Ellison, N. B. (2013). Examining social adjustment to college in the age of social media: factors influencing successful transitions and persistence. Computers & Education, 67, 193–207.
15. Greenwood, S., Perrin, A., & Duggan, M. (2016). Social media update 2016. Retrieved from http://www.pewinternet.org/2016/11/11/social-media-update-2016/.
16. Hew, K. F. (2011). Students’ and teachers’ use of Facebook. Computers in Human Behavior, 27, 662–676.
17. Jong, B.-S., Lai, C.-H., Hsia, Y.-T., Lin, T.-W., & Liao, Y.-S. (2014). An exploration of the potential educational value of Facebook. Computers in Human Behavior, 32, 201–211.
18. Junco, R. (2012). The relationship between frequency of Facebook use, participation in Facebook activities, and student engagement. Computers & Education, 58, 162–171.
19. Kincaid, J. (2009). Facebook activates “like” button; FriendFeed tires of sincere flattery. TechCrunch. Retrieved from http://techcrunch.com/2009/02/09/facebook-activates-like-button-friendfeed-tires-of-sincere-flattery/.
20. Kirschner, P. A., & Karpinski, A. C. (2010). Facebook® and academic performance. Online Interactivity: Role of Technology in Behavior Change, 26(6), 1237–1245.
21. Lim, J., & Richardson, J. C. (2016). Exploring the effects of students’ social networking experience on social presence and perceptions of using SNSs for educational purposes. The Internet and Higher Education, 29, 31–39.
22. Madge, C., Meek, J., Wellens, J., & Hooley, T. (2009). Facebook, social integration and informal learning at university: ‘It is more for socialising and talking to friends about work than for actually doing work’. Learning, Media and Technology, 34(2), 141–155.
23. Manca, S., & Ranieri, M. (2013). Is it a tool suitable for learning? A critical review of the literature on Facebook as a technology‐enhanced learning environment. Journal of Computer Assisted Learning, 29(6), 487–504.
24. Mason, R. (2006). Learning technologies for adult continuing education. Studies in Continuing Education, 28(2), 121–133.
25. Mazman, S. G., & Usluel, Y. K. (2010). Modeling educational usage of Facebook. Computers & Education, 55, 444–453.
26. Roblyer, M., McDaniel, M., Webb, M., Herman, J., & Witty, J. V. (2010). Findings on Facebook in higher education: a comparison of college faculty and student uses and perceptions of social networking sites. The Internet and Higher Education, 13, 134–140.
27. Sarapin, S. H., & Morris, P. L. (2015). Faculty and Facebook friending: Instructor–student online social communication from the professor’s perspective. The Internet and Higher Education, 27, 14–23.
28. Saw, G., Abbott, W., Donaghey, J., & McDonald, C. (2013). Social media for international students-it’s not all about Facebook. Library Management, 34(3), 156–174.
29. Selwyn, N. (2007). Web 2.0 applications as alternative environments for informal learning-a critical review. In CERI-KERIS International Expert Meeting on ICT and Educational Performance (pp. 16–17). Cheju Island: Organization for Economic Co-Operation and Development.
30. Sharma, S. K., Joshi, A., & Sharma, H. (2016). A multi-analytical approach to predict the Facebook usage in higher education. Computers in Human Behavior, 55, 340–353.
31. Siemens, G., & Weller, M. (2011). Monograph “the impact of social networks on teaching and learning”. introduction: higher education and the promises and perils of social networks. RUSC. Universities and Knowledge Society Journal, 8(1), 156–326.
32. Sledgianowski, D., & Kulviwat, S. (2009). Using social network sites: the effects of playfulness, critical mass and trust in a hedonic context. Journal of Computer Information Systems, 49(4), 74–83.
33. Strauss, L. C., & Volkwein, J. F. (2004). Predictors of student commitment at two-year and four-year institutions. Journal of Higher Education, 75(2), 203–227.
34. Thomas, D. R. (2006). A general inductive approach for analyzing qualitative evaluation data. American Journal of Evaluation, 27, 219–236.
35. Tinto, V. (1975). Dropout from higher education: a theoretical synthesis of recent research. Review of Educational Research, 45(1), 89–125.
36. Valerio, G., Herrera-Murillo, D. J., Villanueva-Puente, F., Herrera-Murillo, N., & del Carmen Rodríguez-Martínez, M. (2015). The relationship between post formats and digital engagement: a study of the Facebook pages of Mexican universities. Revista de Universidad y Sociedad del Conocimiento, 12(1), 50–63.
37. Van der Heijden, H. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28, 695–704.
38. van Mierlo, T. (2014). The 1% rule in four digital health social networks: an observational study. Journal of Medical Internet Research, 16(2), e33.
39. Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186–204.
40. Wilson, R. E., Gosling, S. D., & Graham, L. T. (2012). A review of Facebook research in the social sciences. Perspectives on Psychological Science, 7(3), 203–220.