Mobile Learning Beyond Tablets and Smartphones: How Mobile and Networked Devices Enable New Mobile Learning Scenarios

  • Daniel Stoller-Schai
Reference work entry


There is a growing set of mobile and networked devices, which can be used to design, develop, and implement mobile learning scenarios in schools, enterprises, and public institutions such a museums and libraries. Networked objects with iBeacon, radio-frequency identification (RFID), Bluetooth, and other technologies are located in buildings and communicate with users who approach them. This article will give an introduction to this new possibility to create mobile and networked learning scenarios and present a range of examples from schools, enterprises, and public institutions. The article is a first glimpse into new applications and possibilities of mobile learning based on an extended understanding, which goes beyond tablets and smartphones. Some ideas are still sketches and basic descriptions. The goal is to encourage one’s own experience and to explore new ways of teaching and learning with mobile technologies.


Mobile Device Augmented Reality Mobile Learning Activity Tracker Smart Object 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Campbell-Kelly, William Spray, and Martin Campbell-Kelly. 1996. Computer: A history of the information machine, 3rd ed. New York: Basic Books.Google Scholar
  2. Ceruzzi, Paul E. 2012. Computing: A concise history. Boston: MIT Press Essential Knowledge.Google Scholar
  3. Crompton, Helene. 2013. A historical overview of mobile learning: Toward learner-centered education. In Handbook of mobile learning, ed. Z.L. Berge and L.Y. Muilenburg, 3–14. New York: Routledge.Google Scholar
  4. FIT. 2014. “Fuelbands”, “Smart Watches”, “Glasses” and Co. = Next Gen Smart Phones? Demo-Workshop über Nutzungs-Szenerien von Wearables als Türöffner zu neuen Endgerätegenerationen. St. Augustin: Fraunhofer Institute for Applied Information Technology FIT.Google Scholar
  5. Gibson, William. 1986. Neuromancer. New York: Ace/Penguin Books.Google Scholar
  6. Lave, J., and E. Wenger. 1991. Situated learning: Legitimate peripheral participation. New York: Cambridge University Press.CrossRefGoogle Scholar
  7. Madisetti, Vijay, and Bahga, Arshdeep. 2014. Internet of things – A hands-on-approach, 1st ed. VPT, Atlanta.Google Scholar
  8. Mautz, Rainer. 2012. Indoor positioning technologies. Habilitation, Department of Civil, Environmental and Geomatic Engineering, Institute of Geodesy and Photogrammetry. Zürich: ETH.Google Scholar
  9. Parviz, Babak A. 2009. A new generation of contact lenses built with very small circuits and LEDs promises bionic eyesight. Augmented reality in a contact lens – IEEE spectrum. Accessed 14 Dec 2014.
  10. Pfeiffera, Vanessa D.I., Sven Gemballaa, Halszka Jarodzkab, Katharina Scheitera, and Peter Gerjetsb. 2009. Situated learning in the mobile age: Mobile devices on a field trip to the sea. ALT-J Research in Learning Technology 11: 187–199.CrossRefGoogle Scholar
  11. Senge, Peter. 1990. The fifth discipline: The art and practice of the learning organization. New York: Doubleday/Currency.Google Scholar
  12. Starmind International AG. 2015. Starmind: A human solution. Accessed 02 Feb 2015.
  13. Sterling, Bruce. 1986. Schismatrix. New York: Penguin.Google Scholar
  14. The Critical Thinking Community. 2014. The role of questions in teaching, thinking and learning. Accessed 13 Nov 2014.
  15. The Nature Institute. 2014. Experience-based science education: The work of Martin Wagenschein. 2014. Accessed 14 Nov 2014.
  16. Udell, Chat. 2013. The seventh sense: Using haptics, light sensors, accelerometers, barometers, and more to create innovative learning solutions. Employing mobile device sensors for enhanced learning experiences | Float mobile learning. Accessed 12 Dec 2014.
  17. UNESCO. 2014. Mobile learning | United Nations Educational, Scientific and Cultural Organization. Edited by ICT in Education. Accessed 14 Nov 2014.
  18. Wagenschein, Martin. 2013. Verstehen lehren. Genetisch, Sokratisch, Exemplarisch. Weinheim: Beltz.Google Scholar
  19. Wikipedia. 2014a. Activity tracker. Accessed 30 Dec 2014.
  20. Wikipedia. 2014b. Indoor positioning systems. Accessed 30 Dec 2014.
  21. Wikipedia. 2014c. Photodetector. Accessed 30 Dec 2014.
  22. Wikipedia. 2014d. Wearable technology. Accessed 30 Dec 2014.
  23. Wikiquote. 2014. Wikiquote. Accessed 14 Nov 2014.

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.CREALOGIX Education AG, Head Sales and Account ManagementZurichSwitzerland

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