Skip to main content

Advertisement

Log in

Instructional guidance in microblogging-supported learning: insights from a multiple case study

  • Published:
Journal of Computing in Higher Education Aims and scope Submit manuscript

An Erratum to this article was published on 18 September 2015

Abstract

Microblogging tools such as Twitter show potential to enrich classroom experience and benefit student learning. Research shows that instructional guidance is particularly necessary in computer-assisted learning environments, but no research has been done to study the effects of instructional guidance in microblogging-based learning. Using a multiple-case study design, the researcher examined student learning in terms of the amount of participation, ability to focus on task, and depth of thinking in guided, semi-guided, and unguided modes. The findings suggest that in guided environments, students achieved higher levels of learning, especially with respect to focusing on task and depth of thinking. Variations in depth of learning existed between the semi-guided and the guided mode. Students’ perceptions of the benefits and challenges of using microblogging across three cases were also analyzed. The study has implications for future research on using microblogging tools for educational purposes and pedagogical practice.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Agherdien, N. (2011). Twitter and Edulink: Balancing passive consumption with knowledge creation. In Proceedings of the international conference on e-learning, pp. 489–492.

  • An, Y.-J. (2010). Scaffolding wiki-based, ill-structured problem solving in an online environment. Journal of Online Learning and Teaching, 6(4). Retrieved from http://jolt.merlot.org/vol6no4/an_1210.htm.

  • Asterhan, C. S. C., & Schwarz, B. B. (2010). Online moderation of synchronous e-argumentation. International Journal of Computer-Supported Collaborative Learning, 5, 259–282. doi:10.1007/s11412-010-9088-2.

    Article  Google Scholar 

  • Baddeley, A. D. (1999). Essentials of human memory. UK: Psychology Press.

    Google Scholar 

  • Charmaz, K. (2006). Constructing grounded theory: A practical guide through qualitative analysis. London: Sage Publications.

    Google Scholar 

  • Cho, K., & Jonassen, D. (2002). The effects of argumentation scaffolds on argumentation and problem solving. Educational Technology Research and Development, 50(3), 5–22.

    Article  Google Scholar 

  • Clark, R. E., Kirschner, P. A., & Sweller, J. (2012). Putting students on the path to learning: the case for fully guided instruction. American Educator, 36(1), 6–11.

    Google Scholar 

  • Cohen, A., & Duchan, G. (2012). The usage characteristics of Twitter in the learning process. Interdisciplinary Journal of E-Learning and Learning Objects, 8(1), 149–163. Retrieved from http://www.editlib.org/p/44767.

  • Corbin, J., & Strauss, A. (2008). Basics of qualitative research: Techniques and procedures for developing grounded theory (3rd ed.). Thousand Oaks, CA: Sage Publications.

  • Costa, C., Beham, G., Reinhardt, W., & Sillaots, M. (2008). Microblogging in technology enhanced learning: A use-case inspection of PPE summer school 2008. In Paper presented at the workshop on social information retrieval for technology enhanced learning.

  • Craig, E. M. (2007). Changing paradigms: Managed learning environments and Web 2.0. Campus-Wide Information Systems, 24(3), 152–161. doi:10.1108/1065074071076218.

    Article  Google Scholar 

  • Davis III, C. H. F., Deil-Amen, R., Rios-Aguilar, C., & González Canché, M. S. (2013). Social media and higher education: A literature review and research directions. Report printed by the University of Arizona and Claremont Graduate University. Retrieved Feb 27, 2013 from http://works.bepress.com/hfdavis/2/.

  • De Jong, T., & van Joolingen, W. R. (1998). Scientific discovery learning with computer simulations of conceptual domains. Review of Educational Research, 63, 179–201.

    Article  Google Scholar 

  • Deci, E. L., & Ryan, R. M. (1987). The support of autonomy and the control of behaviour. Journal of Personality and Social Psychology, 53, 1024–1037.

    Article  Google Scholar 

  • Divaharan, S., & Lim, C. P. (2010). Secondary school socio-cultural context influencing ICT integration: A case study approach. Australasian Journal of Educational Technology, 26(6), 741–763. http://www.ascilite.org.au/ajet/ajet26/divaharan-2.html.

  • Dunlap, J. C., & Lowenthal, P. R. (2009). Tweeting the night away: Using twitter to enhance social presence. Journal of Information Systems Education, 20(2), 129–155.

    Google Scholar 

  • Ebner, M., Lienhardt, C., Rohs, M., & Meyer, I. (2010). Microblogs in higher education—A chance to facilitate informal and process-oriented learning? Computers & Education, 55(1), 92–100. doi:10.1016/j.compedu.2009.12.006.

    Article  Google Scholar 

  • Ebner, M., & Maurer, H. (2009). Can weblogs and microblogs change traditional scientific writing? Future Internet, 1(1), 47–58. doi:10.3390/fi1010047.

    Article  Google Scholar 

  • Elavsky, C. M., Mislan, C., & Elavsky, S. (2011). When talking less is more: Exploring outcomes of Twitterusage in the large-lecture hall. Learning, Media and Technology, 36(3), 215–233. doi:10.1080/17439884.2010.549828.

    Article  Google Scholar 

  • Gagné, R. M. (1965). The conditions of learning. New York: Holt, Rinehart and Winston.

    Google Scholar 

  • Gao, F., Luo, T., & Zhang, K. (2012). Tweeting for learning: A critical analysis of research on microblogging in education published in 2008–2011. British Journal of Educational Technology, 43(5), 783–801.

    Article  Google Scholar 

  • Glaser, B., & Strauss, A. (1967). The discovery of grounded theory. London: Weidenfeld and Nicholson.

  • Greenhow, C., Robelia, B., & Hughes, J. E. (2009). Learning, teaching, and scholarship in a digital age: Web 2.0 and classroom research: What path should we take now? Educational Researcher, 38(4), 246–259. doi:10.3102/0013189x09336671.

    Article  Google Scholar 

  • Herriot, R. E., & Firestone, W. A. (1983). Multisite qualitative policy research: Optimizing description and generalizability. Educational Researcher, 12(3), 14–19.

    Article  Google Scholar 

  • Hogan, K., & Pressley, M. (1997). Scaffolding student learning: Instructional approaches and issues (p. c1997). Cambridge, Massachusetts: Brookline Books.

    Google Scholar 

  • Holliday, W. G., & Mcguire, B. (1992). How can comprehension adjunct questions focus students’ attention and enhance concept learning of a computer-animated science lesson? Journal of Research in Science Teaching, 29, 3–16.

    Article  Google Scholar 

  • Holotescu, C., & Grosseck, G. (2009). Using microblogging in education. Case study: Cirip.ro. Paper presented at the 6th conference on e-learning applications, Cairo, Egypt.

  • Ito, M., Bittanti, M., Horst, A., Horst, H., Pascoe, C. J., Robinson, L., et al. (2010). Hanging out, messing around, and geeking out: Kids living and learning with new media. Cambridge, Massachusetts: MIT Press, c2010.

  • Java, A., Song, X., Finin, T., & Tseng, B. (2007). Why we twitter: Understanding microblogging usage andcommunities. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis, San Jose, California.

  • Junco, R., Heiberger, G., & Loken, E. (2011). The effect of Twitter on college student engagement and grades. Journal of Computer Assisted Learning, 27(2), 119–132. doi:10.1111/j.1365-2729.2010.00387.x.

    Article  Google Scholar 

  • Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educational Psychologist, 41, 75–86.

    Article  Google Scholar 

  • Kop, R., Fournier, H. & Mak, J. (2011). A pedagogy of abundance or a pedagogy to support human beings? Participant support on massive open online courses. International Review of Research in Open and Distance Learning, 12(7), 74–93. Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/1041/2025.

  • Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159–174.

    Article  Google Scholar 

  • Leutner, D. (1993). Guided discovery learning with computer-based simulation games: Effects of adaptive and non-adaptive instructional support. Learning and Instruction, 3, 113–132.

    Article  Google Scholar 

  • Lin, X., & Lehman, J. D. (1999). Supporting learning of variable control in a computer-based biology environment: Effects of prompting college students to reflect on their own thinking. Journal of Research in Science Teaching, 36, 837–858.

    Article  Google Scholar 

  • Luo, T. (2014). Enabling microblogging-based peer feedback in face-to-face classrooms. Innovations in Education and Teaching International. doi:10.1080/14703297.2014.995202.

    Google Scholar 

  • Luo, T., & Gao, F. (2012). Enhancing classroom learning experience by providing structures to microblogging-based activities. Journal of Information Technology Education, 11, 199–211.

    Google Scholar 

  • Mayer, R. E. (2001). Multimedia learning. New York: Cambridge University Press.

    Book  Google Scholar 

  • Mayer, R. E. (2004). Should there be a three-strikes rule against pure discovery learning? American Psychologist, 59(1), 14–19.

    Article  Google Scholar 

  • Mazzolini, M., & Maddison, S. (2003). Sage, guide or ghost? The effect of instructor intervention on student participation in online discussion forums. Computers & Education, 40, 237–253. doi:10.1016/S0360-1315(02)00129-X.

    Article  Google Scholar 

  • Mcglathery, G. (1978). Analyzing the questioning behaviors of science teachers. In M. B. Rowe (Ed.), What research says to the science teacher (Vol. 1, pp. 13–30). Washington, DC: National Science Teachers Association.

    Google Scholar 

  • Mcwilliams, J., Hickey, D. T., Hines, M. B., Conner, J. M., & Bishop, S. C. (2010). Voices from the field: using collaborative writing tools for literary analysis: Twitter, fan fiction and the crucible in the secondary English classroom. Journal of Media Literacy Education, 3(3), 238–245.

    Google Scholar 

  • Naaman, M., Boase, J., & Lai, C. (2010). Is it really about me?: Message content in social awareness streams. In Proceedings ACM conference on computer supported cooperative work, Savannah, Georgia, USA. http://doi.acm.org/10.1145/1718918.1718953.

  • Novak, J., & Canas, A. (2008). The theory underlying concept maps and how to construct and use them. Institute for Human and Machine Cognition. Pensacola, FL. Retrieved from http://cmap.ihmc.us/publications/researchpapers/theorycmaps/theoryunderlyingconceptmaps.htm.

  • Paloff, R. M., & Pratt, K. (2001). Lessons from the cyberspace classroom—The realities of online teaching. San Francisco: Jossey-Bass.

    Google Scholar 

  • Perifanou, M. A. (2009). Language micro-gaming: Fun and informal microbloggin activities for language learning. Communications in Computer and Information Science, 49, 1–14. doi:10.1007/978-3-642-04757-2_1.

    Article  Google Scholar 

  • Redfield, D. L., & Rousseau, E. W. (1981). A meta-analysis of experimental research on teacher questioning behaviour. Review of Educational Research, 51, 237–245.

    Article  Google Scholar 

  • Ross, C., Terras, M., Warwick, C., & Welsh, A. (2011). Enabled backchannel: conference Twitter use by digital humanists. Journal of Documentation, 67(2), 214–237. doi:10.1108/00220411111109449.

    Article  Google Scholar 

  • Ryan, R. M., & Grolnick, W. S. (1986). Origins and pawns in the classroom: Self-report and projective assessments of individual differences in children’s perceptions. Journal of Personality and Social Psychology, 50, 550–558.

    Article  Google Scholar 

  • Salmon, G. (2004). E-moderating: The key to teaching and learning online. London: Taylor & Francis.

    Google Scholar 

  • Schwarz, B., & Glassner, A. (2007). The role of floor control and of ontology in argumentative activities with discussion-based tools. International Journal of Computer-Supported Collaborative Learning, 2(4), 449–478. doi:10.1007/s11412-007-9024-2.

    Article  Google Scholar 

  • Strauss, A. L., & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd ed.). Thousand Oaks, CA: Sage Publications.

    Google Scholar 

  • Swaak, J., van Joolingen, W. R., & de Jong, T. (1998). Supporting simulation-based learning: The effects of model progression and assignments on definitional and intuitive knowledge. Learning and Instruction, 8, 235–252.

    Article  Google Scholar 

  • Webb, N. M. (2009). The teacher’s role in promoting collaborative dialogue in the classroom. The British Journal of Educational Psychology, 79(1), 1–28. doi:10.1348/000709908x380772.

    Article  Google Scholar 

  • Wright, N. (2010). Twittering in teacher education: Reflecting on practicum experiences. Open Learning, 25(3), 259–265. doi:10.1080/02680513.2010.512102.

    Article  Google Scholar 

  • Wu, Y., & Tsai, C. (2011). The effects of different on-line searching activities on high school students’ cognitive structures and informal reasoning regarding a socio-scientific issue. Research in Science Education, 41(5), 771–785.

    Article  Google Scholar 

  • Yin, R. K. (2008). Case study research: Design and methods. Thousand Oaks, CA: SAGE Publications.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tian Luo.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Luo, T. Instructional guidance in microblogging-supported learning: insights from a multiple case study. J Comput High Educ 27, 173–194 (2015). https://doi.org/10.1007/s12528-015-9097-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12528-015-9097-2

Keywords

Navigation