A New Model to Measure Student Engagement with a Mobile Learning Tool Integrating CoI and FRAME
PROCEEDINGS
Tina Parscal, Ken Sherman, Keri Heitner, George Lucas, University of the Rockies, United States
Global TIME, in Online, Publisher: Association for the Advancement of Computing in Education (AACE)
Abstract
The University of the Rockies is developing a model to measure student engagement with a mobile learning tool that integrates the Community of Inquiry Model ([CoI], Garrison, Anderson, & Archer 2000, 2001) and Framework for the Rational Analysis of Mobile Education ([FRAME], Koole 2009, Koole & Ally 2006). This work will address a literature gap pertaining to research on CoI and mobile users’ behaviors/preferences. Exploratory data collected in the qualitative phase of an exploratory mixed methods study informed the quantitative phase, which is underway. Understanding how use of the mobile device supports teaching, cognitive, and social presences, and how device usability, learner, and social aspects support engagement in learning will address a gap in the research literature. Leaders of academic institutions can use the findings to create new applications, add new features, and make improvements to the learning platform to increase student engagement in learning.
Citation
Parscal, T., Sherman, K., Heitner, K. & Lucas, G. (2012). A New Model to Measure Student Engagement with a Mobile Learning Tool Integrating CoI and FRAME. In Proceedings of Global TIME -Online Conference on Technology, Innovation, Media & Education (pp. 31-37). Online,: Association for the Advancement of Computing in Education (AACE). Retrieved March 28, 2024 from https://www.learntechlib.org/primary/p/39391/.
© 2012 Association for the Advancement of Computing in Education (AACE)
References
View References & Citations Map- Akyol, Z., & Garrison, D.R. (2009). Community of inquiry in adult online learning: Collaborative-constructivist approaches. In T.T. Kidd (Ed.), Adult learning in the digital age: Perspectives on online technologies and outcomes (Ch.VI). Hershey, PA: IGI Global.
- Akyol, Z., Vaughan, N., & Garrison, D.R. (2011). The impact of course duration on the development of a community of inquiry. Interactive Learning Environments, 19(3), 231-246.
- Arbaugh, J.B., Bangert, A., & Cleveland-Innes, M. (2010). Subject matter effects and the community of inquiry framework.The Internet and Higher Education, 13(1-2), 37-44.
- Bridgepoint Education. (2010, November).Mobile Application Student Focus Groups: Ashford& Rockies iPhone and
- Garrison, D.R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2/3), 87-105.
- Garrison, D.R., Anderson, T., & Archer, W. (2001). Critical thinking and computer conferencing: A model and tool to assess cognitive presence. American Journal of Distance Education, 15(1) 7-23.
- Garrison, D.R., & Arbaugh, J.B. (2007). Researching the community of inquiry framework: Review, issues, and future directions. The Internet and Higher Education, 10(3), 157-172.
- Garrison, D.R., Cleveland-Innes, M., & Fung, T. (2004). Student role adjustment in online communities of inquiry. Model and instrument validation. Journal of Asynchronous Learning Network, 8(2), 61-74.
- Garrison, D.R., Cleveland-Innes, M., & Fung, T. (2010). Exploring causal relationships among cognitive, social and teaching presence: Student perceptions of the community of inquiry framework. The Internet and Higher Education, 13(1/2), 31-36.
- Ice, P., Gibson, A.M., Boston, W., & Becher, D. (2011). An exploration of differences between community of indicators in low and high disenrollment online courses. Journal of Journal of Asynchronous Learning Networks,15(2), 44-69.
- Jézégou, A. (2010). Community of Inquiry in E-learning: A Critical Analysis of the Garrison and Anderson Model. Journal of Distance Education, 24(3).
- Joo, Y.J., Lim, K.Y. & Kim, E.K. (2011). Online university students’ satisfaction and persistence: Examining perceived level of presence, usefulness and ease of use as predictors in a structural model. Computers& Education, 57(2), 1654 – 1664.
- Ke, F. (2010). Examining online teaching, cognitive, and social presence for adult students, Computers& Education, 55(2), 808-820.
- Kenny, R.F., Park, C.L., VanNeste-Kenny, J.M.C. (2010). Mobile self efficacy in Canadian nursing education programs. Retrieved from http://auspace.athabascau.ca/bitstream/2149/2767/1/Mobile%20Self%20Efficacy%20in%20Canadian%20Nursing%20Education%20Programs.pdf
- Kenny, R.F., VanNeste-Kenny, J.M.C., Park, C.L., Burton, P.A., & Meiers, P. (2009). Mobile learning in nursing practice education: Applying Koole's FRAME model. Journal of Distance Education, 23(3), 75-96.
- Koole, M.L. (2009). A model for framing mobile learning. In M. Ally (Ed.), Mobile learning: Transforming the delivery of education and training (pp. 25-47). Edmonton, AB: AU Press, Athabasca University.
- Koole, M., & Ally, M. (2006). Framework for the rational analysis of mobile education (FRAME) model: Revising the
- New Media Consortium. (2010). 2010 horizon report.Retrieved from http://wp.nmc.org/horizon2010/ New Media Consortium. (2011). 2011 horizon report. Retrieved from http://wp.nmc.org/horizon2011/
- Tashakkori, A. (2002). Handbook of mixed methods in social& Behavioral research. Thousand Oaks, CA: Sage Publications.
- Teddlie, C., & Tashakkori, A. (1998). Mixed methodology: Combining qualitative and quantitative approaches. Thousand Oaks, CA: Sage Publications.
- Todd, Z. (2004). Mixing methods in psychology:The integration of qualitative and quantitative methods in theory and practice. Oxford, England:Routledge.
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