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What Makes the Design of Mobile Learning Trails Effective: A Retrospective Analysis

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Abstract

In this chapter, we trace the design and enactment of two mobile learning trails, which were designed to provide seamless learning experiences where students could apply and build knowledge across varying contexts, content, and situations. Employing design-based research as a methodological tool, we conducted a retrospective analysis to unpack critical design elements that could possibly determine the effectiveness of a mobile learning trail, which was defined as a series of learning activities in and out of school mediated by mobile devices and applications. The retrospective analysis revealed three design elements that appeared to influence and shape the impact of mobile learning activities on the learning process and outcomes. First, putting in place a pre- and post-trail phase is imperative to establish a learning continuum linking classroom and outdoor learning contexts. A central task in design process is to support a seamless flow of learning across contexts, which requires a tight coupling of understanding main learning content, determining meaningful learning contexts, and facilitating continuity in the whole learning process. Second, the design of mobile learning ought to see an effective combination of both designed and user-generated activities, which encapsulates both macro-level external goals and micro-level situational goals pertaining to the specific outdoor setting. The former serves as a preconditioning measure to reduce novelty space, and the latter affords an unstructured learning space where students can leverage on the rich physical affordances to pursue their own inquiries. Third, it is imperative to provide “common grounds” to foster and to sustain collaborative knowledge creation and advancement across varying contexts and time scales. This serves to enhance continuity of collaborative discourse from the classroom to the outdoor and back to the classroom. We believe that our retrospective analysis presented in this chapter can serve to widen and deepen our knowledge base on the critical factors and elements for designing effective mobile learning activities arising from situated learning perspective.

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References

  • Baker, M., Hanse, T., Joiner, R., & Traum, D. (1999). The role of grounding in collaborative learning tasks. In P. Dillenbourg (Ed.), Collaborative learning: Cognitive and computational approaches (pp. 31–63). Oxford: Pergamon.

    Google Scholar 

  • Barab, S., & Squire, K. (2004). Design-based research: Putting a stake in the ground. The Journal of the Learning Sciences, 13(1), 1–14.

    Article  Google Scholar 

  • Barab, S. A., Thomas, M. K., Dodge, T., Squire, K., & Newell, M. (2004). Critical design ethnography: Designing for change. Anthropology and Education Quarterly, 35(2), 254–268.

    Article  Google Scholar 

  • Bielaczyc, K. (2006). Designing social infrastructure: Critical issues in creating learning environments with technology. Journal of the Learning Sciences, 15(3), 301–329.

    Article  Google Scholar 

  • Choi, J. I., & Hannafin, M. (1995). Situated cognition and learning environments: Roles, structures, and implications for design. Educational Technology Research & Development, 43(2), 53–69.

    Article  Google Scholar 

  • Cobb, P., Confrey, J., diSessa, A., Lehrer, R., & Schauble, L. (2003). Design experiments in educational research. Educational Researcher, 32(1), 9–13.

    Article  Google Scholar 

  • Collins, A., Joseph, D., & Bielaczyc, K. (2004). Design research: Theoretical and methodological issues. The Journal of the Learning Sciences, 13(1), 15–42.

    Article  Google Scholar 

  • Grünewald, D. A. (2003). The best of both worlds: A critical pedagogy of place. Educational Researcher, 32(4), 3–12.

    Article  Google Scholar 

  • Hwang, G. J., Chu, H. C., Lin, Y. S., & Tsai, C. C. (2011). A knowledge acquisition approach to developing Mindtools for organizing and sharing differentiating knowledge in a ubiquitous learning environment. Computers & Education, 57(1), 1368–1377.

    Article  Google Scholar 

  • Jonassen, D. H., & Kwon, H. I. (2001). Communication patterns in computer mediated and face-to-face group problem solving. Educational Technology Research & Development, 49, 35–51.

    Article  Google Scholar 

  • Kapur, M., & Kinzer, C. K. (2007). Examining the effect of problem type in a synchronous computer-supported collaborative learning (CSCL) environment. Education Technology Research and Development, 55, 439–459.

    Article  Google Scholar 

  • Kerawalla, L., Littleton, K., Scanlon, E., Collins, T., Gaved, M., Mulholland, P., Jones, A., Clough, G., & Blake, C. (2012). Doing geography: A multimodal analysis of students’ situated improvisational interpretation during field trips. Learning, Culture and Social Interaction, 1, 78–89.

    Article  Google Scholar 

  • Koschmann, T., & LeBaron, C. (2003). Reconsidering common ground: Examining Clark’s contribution theory in the OR. In Proceedings of the eighth European conference on computer-supported cooperative work, Helsinki, Finland.

    Google Scholar 

  • Kukulska-Hulme, A., Traxler, J., & Pettit, J. (2007). Designed and user-generated activity in the mobile age. Journal of Learning Design, 2(1), 52–65.

    Article  Google Scholar 

  • Lemke, J. (1999). Typological and topological meaning in diagnostic discourse. Discourse Processes, 27(2), 173–185.

    Article  Google Scholar 

  • Liu, T.-Y., Tan, T.-H., & Chu, Y.-L. (2009). Outdoor natural science learning with an RFID-supported immersive ubiquitous learning environment. Educational Technology and Society, 12(4), 161–175.

    Google Scholar 

  • Lonsdale, P., Baber, C., Sharples, M., Costicoglou, S., Pouliakis, A., & Mason, J. (2003). MOBIlearn context awareness subsystem specification: Literature review, proposed architecture, and pre-prototype demonstrator (MOBILearn Project Report D6.1). University of Birmingham: MOBIlearn IST Project.

    Google Scholar 

  • Maulucci, M. R., & Brotman, J. S. (2010). Teaching science in the city: Exploring linkages between teacher learning and student learning across formal and informal contexts. The New Educator, 6, 196–211.

    Article  Google Scholar 

  • Milrad, M. (2006). How should learning activities using mobile technologies be designed to support innovative educational practices? In M. Sharples (Ed.), Big issues in mobile learning (pp. 28–30). Report of a workshop by the Kaleidoscope Network of Excellence Mobile Learning Initiative, University of Nottingham.

    Google Scholar 

  • Orion, N., & Hofstein, A. (1994). Factors that influence learning during a scientific field trip in a natural environment. Journal of Research in Science Teaching, 31(10), 1097–1119.

    Article  Google Scholar 

  • Pachler, N. (2009). Research methods in mobile and informal learning: Some issues. In G. Vavoula, N. Pachler, & A. Kukulska-Hulme (Eds.), Researching mobile learning: Framework, tools and research designs (pp. 1–15). Bonn: Peter Lang.

    Google Scholar 

  • Peterson, D., & Levene, M. (2003). Trail records and navigational learning. London Review of Education, 1(3), 207–216.

    Article  Google Scholar 

  • Rogers, Y., & Price, S. (2008). The role of mobile devices in facilitating collaborative inquiry in situ. Research and Practice in Technology Enhanced Learning, 3(3), 209–229.

    Article  Google Scholar 

  • Rogoff, B. (1984). Introduction: Thinking and learning in social context. In B. Rogoff & J. Lave (Eds.), Everyday cognition: Its development in social context (pp. 1–8). Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Scardamalia, M. (2002). Collective cognitive responsibility for the advancement of knowledge. In B. Smith (Ed.), Liberal education in a knowledge society (pp. 67–98). Chicago: Open Court.

    Google Scholar 

  • Sharples, M., Taylor, J., & Vavoula, G. (2007). A theory of learning for the mobile age. In R. Andrews & C. Haythornthwaite (Eds.), The Sage handbook of e-learning research (pp. 221–247). London: Sage.

    Google Scholar 

  • Sharples, M., Milrad, M., Arnedillo Sánchez, I., & Vavoula, G. (2009). Mobile learning: Small devices, big Issues. In N. Balacheff, S. Ludvigsen, T. de Jong, A. Lazonder, S. Barnes, & L. Montandon (Eds.), Technology enhanced learning: Principles and products. Berlin: Springer.

    Google Scholar 

  • So, H.-J., & Tan, E. (2014). Designing the situation for pervasive knowledge building: Future school experiences. In S. C. Tan, H. J. So, & J. Yeo (Eds.), Knowledge creation in education (pp. 123–142). Singapore: Springer.

    Chapter  Google Scholar 

  • So, H.-J., Seow, P., & Looi, C. K. (2009). Location matters: Leveraging knowledge building with mobile devices and Web 2.0 technology. Interactive Learning Environments, 17(4), 367–382.

    Article  Google Scholar 

  • So, H.-J., Zhang, X., & Wong, L.-H. (2012). Mobile CSCL: Possibilities and challenges arising from the future school experience. In Workshop proceedings of the International Conference on Computers in Education ICCE 2012 (pp. 711–715). Singapore: National Institute of Education, Nanyang Technological University.

    Google Scholar 

  • Stahl, G. (2006). Shared meaning, common ground, group cognition. In Group cognition: Computer support for building collaborative knowledge (pp. 347–360). Cambridge, MA: MIT Press.

    Google Scholar 

  • Strijbos, J.-W., Martens, R. L., & Jochems, W. M. G. (2004). Designing for interaction: Six steps to designing computer-supported group-based learning. Computers & Education, 42(4), 403–424.

    Article  Google Scholar 

  • Tan, E., & So, H.-J. (2011). Location-based collaborative learning at a geography tail: Examining the relationship among task design, facilitation and discourse types. In Proceedings of the 9th CSCL conference (pp. 41–48). Hong Kong: International Society of the Learning Sciences.

    Google Scholar 

  • Vavoula, G., Sharples, M., Rudman, P., Meek, J., & Lonsdale, P. (2009). Myartspace: Design and evaluation of support for learning with multimedia phones between classrooms and museums. Computers & Education, 53(2), 286–299.

    Article  Google Scholar 

  • Veerman, A., & Veldhuis-Diermanse, E. (2001). Collaborative learning through computer-mediated communication in academic education. In P. Dillenbourg, A. Eurelings, & K. Hakkarainen (Eds.), European perspectives on computer-supported collaborative learning: Proceedings of the 1st European conference on compute-supported learning (pp. 625–632). Maastricht: Maastricht University.

    Google Scholar 

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Acknowledgment

This research was supported by the FutureSchools@Singapore project under the National Research Foundation’s (NRF) Interactive and Digital Media (IDM) in Education Research and Development (R&D) Programme. The research was conducted when the first author was with Nanyang Technological University, Singapore. We thank all collaborating teachers, students, and software engineers for their contribution in this research.

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Correspondence to Hyo-Jeong So .

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So, HJ., Tan, E., Wei, Y., Zhang, X. (2015). What Makes the Design of Mobile Learning Trails Effective: A Retrospective Analysis. In: Wong, LH., Milrad, M., Specht, M. (eds) Seamless Learning in the Age of Mobile Connectivity. Springer, Singapore. https://doi.org/10.1007/978-981-287-113-8_17

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