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Self-regulation: A Critical Learner Characteristic for Seamless Learning

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Seamless Learning in the Age of Mobile Connectivity

Abstract

This chapter illustrates an inherent link between mobile seamless learning (MSL), an innovative model of learning, and self-regulated learning (SRL), an active area in contemporary educational psychology. This link is rooted at defining characteristics of MSL: learner-centric, and demanding on seamless swift across learning contexts/scenarios. These characteristics expect that learners as agents of their own learning are motivated to and to be able to learn anywhere and anytime. Based on this link, an analytic SRL model of mobile learning was proposed as a conceptual framework for understanding mobile learning, in which the notion of self-regulation as agency is at the core along with the recognition of mobile devices as social, cognitive, and metacognitive tools, and importance of teachers’ and parental autonomy supports. This model elicits that the advanced mobile technologies and devices just provide the technological and physical infrastructure of and the possibility for mobile seamless learning, and learners’ SRL knowledge and skills is essential for learners to realize this possibility by engaging themselves in MSL behaviorally, motivationally, and metacognitively.

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References

  • Azevedo, R. (2005). Using hypermedia as a metacognitive tool for enhancing student learning? The role of self-regulated learning. Educational Psychologist, 40(4), 199–209.

    Article  Google Scholar 

  • Bandura, A. (1986). Social foundations of thought and action: A social cognition theory. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Bandura, A. (2001). Social-cognitive theory: An agentic perspective. Annual Review of Psychology, 52, 1–26.

    Article  Google Scholar 

  • Boekaerts, M. (1997). Self-regulated learning: A new concept embraced by researchers, policy makers, educators, teachers, and students. Learning and Instruction, 7(2), 161–186.

    Article  Google Scholar 

  • Boekaerts, M., & Corno, L. (2005). Self-regulation in the classroom: A perspective on assessment and intervention. Applied Psychology: An International Review, 54(2), 199–231.

    Article  Google Scholar 

  • Boticki, I., & So, H.-J. (2010). Quiet captures: A tool for capturing the evidence of seamless learning with mobile devices. In Proceedings of the 9th international conference of the learning sciences, Chicago, 29 June – 2 July 2010.

    Google Scholar 

  • Bruning, R., Schraw, G., & Norby, M. (2004). Cognitive psychology and instruction (4th ed.). Upper Saddle River: Pearson Merrill Prentice Hall.

    Google Scholar 

  • Carver, C. S., & Scheier, M. F. (1998). On the self-regulation of behavior. New York: Cambridge University Press.

    Book  Google Scholar 

  • Chan, T.-W., Roschelle, J., Hsi, S., Kinshuk Sharples, M., Brown, T., Patton, C., et al. (2006). One-to-one technology-enhanced learning: An opportunity for global research collaboration. Research and Practice in Technology Enhanced Learning, 1(1), 3–29. University Press.

    Google Scholar 

  • Chen, W., Tan, N. Y. L., Looi, C.-K., Zhang, B., & Seow, P. S. K. (2008). Handheld computers as cognitive tools: Technology-enhanced environmental learning. Research & Practice in Technology Enhanced Learning, 3(3), 231–252.

    Article  Google Scholar 

  • Dabbagh, N., & Kitsantas, A. (2012). Personal learning environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning. The Internet and Higher Education, 15(1), 3–8.

    Article  Google Scholar 

  • Fischer, G., & Konomi, S. (2007). Innovative socio-technical environments in support of distributed intelligence and lifelong learning. Journal of Computer Assisted Learning, 23(4), 338–350.

    Article  Google Scholar 

  • Frohberg, D., Göth, C., & Schwabe, G. (2009). Mobile learning projects – A critical analysis of the state of the art. Journal of Computer Assisted Learning, 25(4), 307–331.

    Article  Google Scholar 

  • Green, J. A., & Azevedo, R. (2007). A theoretical review of Winne and Hadwin’s model of self-regulated learning: New perspectives and directions. Review of Educational Research, 77, 334–372.

    Article  Google Scholar 

  • Järvelä, S., & Hadwin, A. F. (2013). New frontiers: Regulating learning in CSCL. Educational Psychologist, 48(1), 25–39.

    Article  Google Scholar 

  • Koriat, A. (2007). Metacognition and consciousness. In P. D. Zelazo, M. Moscovitch, & E. Thompson (Eds.), The Cambridge handbook of consciousness (pp. 289–325). New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Kramarski, B., & Gutman, M. (2006). How can self-regulated learning be supported in mathematical E-learning environments? Journal of Computer Assisted Learning, 22(1), 24–33.

    Article  Google Scholar 

  • Looi, C.-K., Seow, P., Zhang, B., So, H.-J., Chen, W., & Wong, L.-H. (2010). Leveraging mobile technology for sustainable seamless learning: A research agenda. British Journal of Educational Technology, 41(2), 154–169.

    Article  Google Scholar 

  • Looi, C.-K., Zhang, B., Chen, W., Seow, P., & Chia, G. (2011). Mobile inquiry learning experience for primary science students: A study of learning effectiveness. Journal of Computer Assisted Learning, 27(3), 269–287.

    Article  Google Scholar 

  • Martin, J. (2004). Self-regulated learning, social cognitive theory, and agency. Educational Psychologist, 39(2), 135–145.

    Article  Google Scholar 

  • McManus, T. F. (2000). Individualizing instruction in a Web-based hypermedia learning environment: Nonlinearity, advance organizers, and self-regulated learners. Journal of Interactive Learning Research, 11(3), 219–251.

    Google Scholar 

  • Nelson, T. O. (1999). Cognition versus metacognition. In R. J. Sternberg (Ed.), The nature of cognition (pp. 625–641). Cambridge, MA: The MIT Press.

    Google Scholar 

  • O’Malley, C., Vavoula, G., Glew, J. P., Taylor, J., Sharples, M., & Lefrere, P. (2003). Guidelines for learning/teaching/tutoring in a mobile environment. Retrieved April 22, 2013 from http://www.mobilearn.org/download/results/guidelines.pdf

  • Peng, H., Su, Y.-J., Chou, C., & Tsai, C.-C. (2009). Ubiquitous knowledge construction: Mobile learning re-defined and a conceptual framework. Innovations in Education & Teaching International, 46(2), 171–183.

    Article  Google Scholar 

  • Perry, N. E., & Winne, P. H. (2006). Learning from Learning Kits: gStudy traces of students’ self-regulated engagements with computerized content. Educational Psychology Review, 18, 211–228.

    Article  Google Scholar 

  • Reeve, J., Ryan, J. R., Deci, E. L., & Jang, H. (2008). Understanding and promoting autonomous self-regulation. In D. H. Schunk & B. J. Zimmerman (Eds.), Motivation and self-regulated learning: Theory, research and applications (pp. 223–244). Mahwah: LEA.

    Google Scholar 

  • Robbins, P., & Aydede, M. (2009). The Cambridge handbook of situated cognition. New York: Cambridge University Press.

    Google Scholar 

  • Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68–78.

    Article  Google Scholar 

  • Sawyer, R. K. (2006). Introduction: The new science of learning. In R. K. Sawyer (Ed.), The Cambridge handbook of the learning sciences (pp. 1–16). Cambridge: Cambridge University Press.

    Google Scholar 

  • Schober B., Finsterwald M., Wagner P., LĂĽftenegger M., Aysner M. & Spiel C. (2007) TALK – a training program to encourage lifelong learning in school. Zeitschrift fĂĽr Psychologie, 215, 183–193.

    Google Scholar 

  • Schraw, G., & Dennison, S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19, 460–475.

    Article  Google Scholar 

  • Schunk, D. H. (2001). Social cognitive theory and self-regulated learning. In B. J. Zimmerman & D. H. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspective (pp. 125–151). New York: Longman.

    Google Scholar 

  • Schunk, D. H., Pintrich, P. R., & Meece, J. L. (2008). Motivation in education: Theory, research, and applications (3rd ed.). Upper Saddle River: Pearson Education Inc.

    Google Scholar 

  • Sha, L., Winne, P. H., Campbell, S. R., & Nesbit, J. C. (2009, August 6–9). Complex relations between metacognitive judgment and metacognitive control in self-regulated learning. A paper presented at Division 15 (Educational Psychology) at the 2009 American Psychological Association (APA) National Convention, Toronto, Canada.

    Google Scholar 

  • Sha, L., Looi, C.-K., Chen, W., & Zhang, B. (2012a). Understanding mobile learning from the perspective of self-regulated learning. Journal of Computer Assisted Learning, 28(4), 366–378.

    Article  Google Scholar 

  • Sha, L., Looi, C.-K., Chen, W., Seow, P., & Wong, L.-H. (2012b). Recognizing and measuring self-regulated learning in a mobile learning environment. Computers in Human Behavior, 28, 718–728.

    Article  Google Scholar 

  • Sharples, M., Taylor, J., & Vavoula, G. (2005). Towards a theory of mobile learning. In Proceedings of mLearn 2005 conference, Cape Town.

    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. London: Sage.

    Google Scholar 

  • Smith, L. B. (2005). Cognition as a dynamic system: Principles from embodiment. Developmental Review, 25(3–4), 278–298.

    Article  Google Scholar 

  • Terras, M. M., & Ramsay, J. (2012). The five central psychological challenges facing effective mobile learning. British Journal of Educational Technology, 43(5), 820–832.

    Article  Google Scholar 

  • Tschacher, W., & Scheier, C. (1999). The perspective of situated and self-organizing cognition in cognitive psychology. In P. Van Loocke (Ed.), The nature of concepts: Evolution, structure and representation (pp. 68–90). Florence: Taylor & Frances/Routledge.

    Google Scholar 

  • Vavoula, G., & Sharples, M. (2009). Meeting the challenges in evaluating mobile learning: A 3-level evaluation framework. International Journal of Mobile and Blended Learning, 1(2), 54–75.

    Article  Google Scholar 

  • Veenman, M. V. J., Van Hout-Wolters, B. H., & Afflerbach, P. (2006). Metacognition and learning: Conceptual and methodological considerations. Metacognition and Learning, 1, 3–14.

    Article  Google Scholar 

  • Vogel, D., Kennedy, D., & Kwok, R. C.-W. (2009). Does using mobile device applications lead to learning? Journal of Interactive Learning Research, 20(4), 469–485.

    Google Scholar 

  • Winne, P. H. (2001). Self-regulated learning viewed from models of information processing. In B. J. Zimmerman & D. H. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspective (pp. 153–189). New York: Longman.

    Google Scholar 

  • Winne, P. H., & Nesbit, J. C. (2010). The psychology of academic achievement. Annual Review of Psychology, 61(1), 653–678.

    Article  Google Scholar 

  • Winne, P. H., Jamieson-Noel, D. L., & Muis, K. (2002). Methodological issues and advances in researching tactics, strategies, and self-regulated learning. In P. R. Pintrich & M. L. Maehr (Eds.), Advances in motivation and achievement: New directions in measures and methods (Vol. 12, pp. 121–155). Greenwich: JAI Press.

    Google Scholar 

  • Winters, F., Greene, J., & Costich, C. (2008). Self-regulation of learning within computer-based learning environments: A critical analysis. Educational Psychology Review, 20(4), 429–444.

    Article  Google Scholar 

  • Wong, L.-H. (2012). A learner-centric view of mobile seamless learning. British Journal of Educational Technology, 43(1), 19–23.

    Article  Google Scholar 

  • Wong, L.-H., & Looi, C.-K. (2011). What seams do we remove in mobile-assisted seamless learning? A critical review of the literature. Computers & Education, 57(4), 2364–2381.

    Article  Google Scholar 

  • Wu, W.-H., Wu, Y.-C., Chen, C.-Y., Kao, H.-Y., Lin, C.-H., & Huang, S.-H. (2012). Review of trends from mobile learning studies: A meta-analysis. Computers & Education, 59(2), 817–827.

    Article  Google Scholar 

  • Zhang, B., Looi, C.-K., Seow, P., Chia, G., Wong, L.-H., Chen, W., et al. (2010). Deconstructing and reconstructing: Transforming primary science learning via a mobilized curriculum. Computers & Education, 55, 1504–1523.

    Article  Google Scholar 

  • Zimmerman, B. J. (2008). Investigating self-regulation and motivation: Historical background, methodological developments, and future prospects. American Educational Research Journal, 45(1), 166–183.

    Article  Google Scholar 

  • Zimmerman, B. J., & Schunk, D. H. (2001). Reflections on theories of self-regulated learning and academic achievement. In B. J. Zimmerman & D. H. Schunk (Eds.), Self-regulated learning and academic achievement: Theoretical perspectives (2nd ed., pp. 289–307). Mahwah: Lawrence Erlbaum Associates Publishers.

    Google Scholar 

  • Zimmerman, B. J., & Schunk, D. H. (2004). Self-regulating intellectual processes and outcomes: A social cognitive perspective. In D. Y. Dai & R. J. Sternberg (Eds.), Motivation, emotion, and cognition: Integrative perspectives on intellectual functioning and development (pp. 323–349). Mahwah: Lawrence Erlbaum Associates Publishers.

    Google Scholar 

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Acknowledgment

This study was funded by a grant from the National Research Foundation, Singapore (Grant #: NRF2007IDMIDM005-021).

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Authors and Affiliations

  1. Learning Research and Development Center (LRDC), University of Pittsburgh, Pittsburgh, PA, USA

    Li Sha

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  1. Li Sha
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Correspondence to Li Sha .

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Editors and Affiliations

  1. National Institute of Education, Nanyang Technological University, Singapore, Singapore

    Lung-Hsiang Wong

  2. Linnaeus University, Växjö, Sweden

    Marcelo Milrad

  3. Open University, AT Heerlen, The Netherlands

    Marcus Specht

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Sha, L. (2015). Self-regulation: A Critical Learner Characteristic for Seamless Learning. 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_5

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