Analyzing Integrated Learning Scenarios for Outdoor Settings

  • Terje VäljatagaEmail author
  • Kadri Mettis
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11841)


Research suggests that an interdisciplinary approach, where students can gather and evaluate evidence, and make sense of information they receive, can enhance students’ learning and better model various processes and phenomena in the real world [1]. However, it might create challenges for teachers to design integrated learning scenarios in authentic outdoor settings. The general aim of the paper is to analyze the content of integrated learning scenarios supported with technologies (mobile devices, online applications, sensors and educational robotics) in outdoor settings created by teachers from 6 K-12 schools to understand the characteristics of outdoor learning scenarios, the type of knowledge and level of contextualization these scenarios anticipate. The content analysis of the integrated learning scenarios demonstrates that the teachers tend to design learning scenarios, which hardly embrace learning contexts and enable to support higher order knowledge building types.


Outdoor learning Subject integration Knowledge types Mobile learning Contextualization 



This project is partially funded by the European Union’s Horizon 2020 Research and Innovationn Programme, grant agreement No. 669074.


  1. 1.
    Volmert, A., Baran, M., Kendall-Taylor, N., O’Neil, M.: “You have to have the basics down really well”: mapping the gaps between expert and public understanding of STEM learning. FrameWorks Institute, Washington, DC (2013).
  2. 2.
    Scardamalia, M., Bereiter, C.: Knowledge building: theory, pedagogy, and technology. In: Sawyer, K. (ed.) Cambridge Handbook of the Learning Sciences, pp. 97–118. Cambridge University Press, New York (2006)Google Scholar
  3. 3.
    Hsu, Y.C., Ching, Y.H.: Mobile computer-supported collaborative learning: a review of experimental research. Br. J. Edu. Technol. 44(5), E111–E114 (2013)CrossRefGoogle Scholar
  4. 4.
    Hwang, G.J., Wu, P.H.: Applications, impacts and trends of mobile technology-enhanced learning: a review of 2008–2012 publications in selected SSCI journals. Int. J. Mob. Learn. Organ. 8(2), 83–95 (2014)CrossRefGoogle Scholar
  5. 5.
    Zacharia, Z.C., Lazaridou, C., Avraamidou, L.: The use of mobile devices as means of data collection in supporting elementary school students’ conceptual understanding about plants. Int. J. Sci. Educ. 38(4), 596–620 (2016)CrossRefGoogle Scholar
  6. 6.
    Sung, Y.-T., Chang, K.-E., Liu, T.-C.: The effects of integrating mobile devices with teaching and learning on students’ learning performance: a metaanalysis and research synthesis. Comput. Educ. 94, 252–275 (2016)CrossRefGoogle Scholar
  7. 7.
    Nikou, S.A., Economides, A.A.: Mobile-based assessment: investigating the factors that influence behavioral intention to use. Comput. Educ. 109, 56–73 (2017)CrossRefGoogle Scholar
  8. 8.
    Traxler, J., Kukulska-Hulme, A.: Contextual Challenges for the Next Generation. Routledge, New York (2016)Google Scholar
  9. 9.
    Pachler, N., Bachmair, B., Cook, J., Kress, G.: Mobile Learning. Springer, New York (2010). Scholar
  10. 10.
    Sharples, M.: Big Issues in Mobile Learning. LSRI. University of Nottingham (2007)Google Scholar
  11. 11.
    Beyer, B.: Improving thinking skills-practical approaches. Phi Delta Kappan 65, 556–560 (1984)Google Scholar
  12. 12.
    DeBono, E.: The direct teaching of thinking as a skill. Phi Delta Kappan 64, 703–708 (1983)Google Scholar
  13. 13.
    Burgin, M.: Theory of Knowledge: Structures and Processes. World Scientific (2016)Google Scholar
  14. 14.
    Fantl, J.: Knowing-how and knowing-that. Philos. Compass 3(3), 451–470 (2008)CrossRefGoogle Scholar
  15. 15.
    Shavelson, R.J., Ruiz-Primo, M.A., Wiley, E.W.: Windows into the mind. High. Educ. 49, 413–430 (2005)CrossRefGoogle Scholar
  16. 16.
    Crompton, H., Burke, D., Lin, Y.-C.: Mobile learning and student cognition: a systematic review of PK-12 research using Bloom’s Taxonomy. Br. J. Educ. Technol. (2018). Scholar
  17. 17.
    Krajcik, J., Delen, I.: Engaging learners in STEM education. Eesti Haridusteaduste Ajakiri 5(1), 35–58 (2017).

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Tallinn UniversityTallinnEstonia

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