A Survey of Mobile Learning Approaches for Teaching Internet of Things | SpringerLink
Skip to main content
Springer Nature Link
Log in

A Survey of Mobile Learning Approaches for Teaching Internet of Things

  • Conference paper
  • First Online:
Mobile Technologies and Applications for the Internet of Things (IMCL 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 909))

Included in the following conference series:

  • 571 Accesses

Abstract

Over the past few years, the interest in the Internet of Things (IoT) as well as the integration of mobile technology into education—called mobile learning—is rapidly rising. The purpose of this paper is to review mobile learning approaches that have been applied to teach IoT or related subjects and to derive lessons learned for designing mobile-learning-based IoT courses. To achieve this, we performed a systematic interdisciplinary literature review. The contribution of this paper is threefold. First, we present a survey of all identified publications in the research area, providing insights into the development of this field and showing its emerging importance. Second, we discuss different mobile learning approaches, focusing on approaches concerned explicitly with the special demands of these concepts in the context of IoT and related Computer Science topics. Third, by deriving lessons learned we provide a foundation for the informed selection of suitable mobile learning concepts as well as for evaluating future research in this area.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 22879
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 28599
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Ali, F. (2015). Teaching the internet of things concepts. In Proceedings of the Workshop on Embedded and Cyber-Physical Systems Education. New York, NY, USA.

    Google Scholar 

  2. Alsaggaf, W. (2012). Enhancement of learning programming experience by novices using mobile learning: Mobile learning in introductory programming lectures. In Proceedings of the 9th Annual International Conference on International Computing Education Research. New York, NY, USA (2012).

    Google Scholar 

  3. Babic, F., & Gaspar, V. (2017). Mobile technologies education based on smart laboratory models. In Proceedings of the 15th International Conference on Emerging eLearning Technologies and Applications (Oct 2017).

    Google Scholar 

  4. Boukraa, M., & Ando, S. (2002). Tag-rased vision: Assisting 3d scene analysis with radio-frequency tags. In 5th International Conference on Information Fusion (July 2002).

    Google Scholar 

  5. Boyer, E. (1997). Scholarship reconsidered: Priorities of the professoriate. Hillsdale, NJ: Jossey-Bas.

    Google Scholar 

  6. Brereton, P., Kitchenham, B. A., Budgen, D., Turner, M., & Khalil, M. (2007). Lessons from applying the systematic literature review process within the software engineering domain. Journal of Systems and Software, 80(4), 571–583.

    Article  Google Scholar 

  7. Brock, S. A. (1999). The networked physical world. MIT Auto-ID Center White Paper.

    Google Scholar 

  8. Bruck, P. A., Motiwalla, L., & Foerster, F. (2012). Mobile learning with micro-content: A framework and evaluation. In Bled eConference.

    Google Scholar 

  9. Cota, C. X. N., Díaz, A. I. M., & Duque, M. A. R. (2014). Developing a framework to evaluate usability in m-learning systems: Mapping study and proposal. In Proceedings of the 2nd International Conference on Technological Ecosystems for Enhancing Multiculturality. New York, NY, USA (2014).

    Google Scholar 

  10. Cota, C. X. N., Molina, A. I., & Redondo, M. A. (2014). Evaluation framework for m-learning systems: Current situation and proposal. In Interacción.

    Google Scholar 

  11. Dekhane, S., & Johnson, C. (2014). Using mobile apps to support novice programming students. In Proceedings of the 15th Annual Conf. on Information Technology Education. New York, NY, USA.

    Google Scholar 

  12. Dobrilovic, D., & Stojanov, Z. (2016). Design of open-source platform for introducing internet of things in university curricula. In Proceedings of the 11th International Symposium on Applied Computational Intelligence and Informatics (May 2016).

    Google Scholar 

  13. Fioravanti, M. L., Filho, N. F. D., Fronza, L. B., & Barbosa, E. F. (2017). Towards a mobile learning environment using reference architectures. In Hawaii International Conference on System Sciences 2017 (HICSS-50). Hawaii (January 2017).

    Google Scholar 

  14. Fong, W. W. (2013). The trends in mobile learning. In S. K. S. Cheung, J. Fong, W. Fong, F. L. Wang, & L. F. Kwok (Eds.), Hybrid learning and continuing education (pp. 301–312). Berlin, Heidelberg: Springer.

    Chapter  Google Scholar 

  15. Förster, A., Dede, J., Könsgen, A., Udugama, A., & Zaman, I. (2017). Teaching the internet of things. GetMobile: Mobile Computing and Communications, 20(3), 24–28.

    Google Scholar 

  16. Gary, K., Lindquist, T., Bansal, S., & Ghazarian, A. (2013). A project spine for software engineering curricular design. In Proceedings of the 26th International Conference on Software Engineering Education and Training (May 2013).

    Google Scholar 

  17. Ghezzi, C., & Mandrioli, D. (2006). The challenges of software engineering education (pp. 115–127). Berlin, Heidelberg: Springer.

    Google Scholar 

  18. Gonzalez, G. R., Organero, M. M., & Kloos, C. D. (2008). Early infrastructure of an internet of things in spaces for learning. In Proceedings of the 8th International Conference on Advanced Learning Technologies (July 2008).

    Google Scholar 

  19. Hanes, D., Salgueiro, G., Grossetete, P., Barton, R., & Henry, J. (2017). IoT fundamentals: Networking technologies, protocols, and use cases for the internet of things. Pearson Education: Fundamentals.

    Google Scholar 

  20. Huang, R., Zhang, H., Li, Y., & Yang, J. (2012). A framework of designing learning activities for mobile learning. In S. K. S. Cheung, J. Fong, L. F. Kwok, K. Li, & R. Kwan (Eds.), Hybrid learning (pp. 9–22). Berlin, Heidelberg: Springer.

    Chapter  Google Scholar 

  21. Jeong, G. M., Truong, P. H., Lee, T. Y., Choi, J. W., & Lee, M. (2016). Course design for internet of things using lab of things of microsoft research. In IEEE Frontiers in Education Conference (FIE) (pp. 1–6).

    Google Scholar 

  22. Kaganer, E. A., Giordano, G. A., Brion, S., & Tortoriello, M. (November 2013). Media tablets for mobile learning. Communications of the ACM,56(11), 68–75.

    Google Scholar 

  23. Kallookaran, M., & Siemon, D. (2017). Using mobile learning to create a reciprocal peer learning environment. In AMCIS 2017. Boston, Massachusetts, USA.

    Google Scholar 

  24. Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering—A systematic literature review. Information and Software Technology, 51(1).

    Google Scholar 

  25. Kopackova, H., & Bilkova, R. (2014). Mobile devices in learning—Are students ready for the change? In Proceedings of the 12th IEEE International Conference on Emerging eLearning Technologies and Applications.

    Google Scholar 

  26. Krotov, V. (2015). Critical success factors in m-learning: A socio-technical perspective. Communications of the Association for Information Systems, 36(6).

    Google Scholar 

  27. Lei, C., Yau, C., Lui, K.., Yum, P., Tam, V., Yuen, A.H., et al. (2017). Teaching internet of things: Enhancing learning efficiency via full-semester flipped classroom. In Proceedings of the 6th International Conference on Teaching, Assessment, and Learning for Engineering.

    Google Scholar 

  28. Liang, T. Y., Li, H. F., & Chen, Y. C. (2014). A ubiquitous integrated development environment for c programming on mobile devices. In Proceedings of the 12th International Conference on Dependable, Autonomic and Secure Computing.

    Google Scholar 

  29. Lim, W. N. (2017). Improving student engagement in higher education through mobile-based interactive teaching model using socrative. In IEEE Global Engineering Education Conference (EDUCON) (pp. 404–412).

    Google Scholar 

  30. Lu, X., & Viehland, D. (2008). Factors influencing the adoption of mobile learning. In ACIS 2008 Proceedings. New Zealand.

    Google Scholar 

  31. Luchini, K., Bobrowsky, W., Curtis, M., Quintana, C., & Soloway, E. (2002). Supporting learning in context: Extending learner-centered design to the development of handheld educational software. In: Proceedings. IEEE International Workshop on Wireless and Mobile Technologies in Education (pp. 107–111).

    Google Scholar 

  32. Ma, K., Ma, Y., Wang, Y., Qian, K., Zheng, Q., & Hong, L. (2015). Innovative mobile tool for engineering embedded design and security educations. In IEEE Frontiers in Education Conference (FIE) (pp. 1–4).

    Google Scholar 

  33. Mäenpää, H., Varjonen, S., Hellas, A., Tarkoma, S., & Männistö, T. (2017). Assessing IOT projects in university education: A framework for problem-based learning. In Proceedings of the 39th International Conference on Software Engineering. Piscataway, NJ, USA.

    Google Scholar 

  34. Möller, D. P. F., Haas, R., & Vakilzadian, H. (2013). Ubiquitous learning: Teaching modeling and simulation with technology. In Proceedings of the Grand Challenges on Modeling and Simulation Conference. Vista, CA.

    Google Scholar 

  35. Oyelere, S. S., Suhonen, J., Wajiga, G. M., & Sutinen, E. (2016). Evaluating mobileedu: Third-year undergraduate computer science students’ mobile learning achievements. In Proceedings of the 16th Koli Calling International Conference on Computing Education Research. New York, NY, USA.

    Google Scholar 

  36. Pedro, L. F. M. G., Barbosa, C. M. M. D. O., & Santos, C. M. D.N. (2018). A critical review of mobile learning integration in formal educational contexts. International Journal of Educational Technology in Higher Education ,15(1), 10.

    Google Scholar 

  37. Pereira, O. R. E., & Rodrigues, J. J. P. C. (2013). Survey and analysis of current mobile learning applications and technologies. ACM Computing Surveys, 46(2), 27:1–27:35.

    Google Scholar 

  38. Poursaeed, B., & Lee, C. (2010). Self-initiated curriculum planning, visualization and assessment in improving meaningful learning: A comparison between mobile and ubiquitous learning. In International Conference on Technology for Education.

    Google Scholar 

  39. Rieger, R., & Gay, G. (1997). Using mobile computing to enhance field study. In Proceedings of the 2nd International Conference on Computer Support for Collaborative Learning.

    Google Scholar 

  40. Samuel, A., Mohamedally, D., Banerjee, N., Brush, A. J., & Mahajan, R. (2015). Lab of things in education. GetMobile: Mobile Computing and Communications, 19(1), 18–24.

    Google Scholar 

  41. Sánchez Prieto, J. C., Migueláñez, S. O., & García-Peñalvo, F. J. (2013). Mobile learning: Tendencies and lines of research. In Proceedings of the 1st International Conference on Technological Ecosystem for Enhancing Multiculturality. New York, NY, USA.

    Google Scholar 

  42. Schefer-Wenzl, S., & Miladinovic, I. (2017). Game changing mobile learning based method mix for teaching software development. In mLearn 2017, 16th World Conference on Mobile and Contextual Learning.

    Google Scholar 

  43. Schefer-Wenzl, S., & Miladinovic, I. (2018). Leveraging collaborative mobile learning for sustained software development skills. In Proceedings of the 21 International Conference on Interactive Collaborative Learning.

    Google Scholar 

  44. Sendov, B. (1997). Towards global wisdom in the era of digitalization and communication. Prospects, 27(3), 415–426.

    Article  Google Scholar 

  45. Tillmann, N., Moskal, M., de Halleux, J., Fahndrich, M., Bishop, J., Samuel, A., et al. (2012). The future of teaching programming is on mobile devices. In Proceedings of the 17th ACM Annual Conference on Innovation and Technology in Computer Science Education. New York, NY, USA (2012)

    Google Scholar 

  46. Virtanen, M. A., Haavisto, E., Liikanen, E., & Kääriäinen, M. (2018). Ubiquitous learning environments in higher education: A scoping literature review. Education and Information Technologies, 23(2), 985–998.

    Article  Google Scholar 

  47. Weldon, M. K. (2016). The Future X Network. A Bell Labs Perspective: CRC Press.

    Book  Google Scholar 

  48. Yu, M., Wang, J.: The design and implementation of a mobile massive open online courses platform. In: Proc. of Intern. Conf. on Information Integration and Web-based Applications & Services. New York, NY, USA (2013)

    Google Scholar 

  49. Yunis, M.M., Liu, L.C., Koong, K.S.: Towards a framework for perceived effectiveness of mobile learning. In: AMCIS 2011 Proceedings. Detroit, Michigan, USA (August 2011)

    Google Scholar 

  50. Zhang, H., & Babar, M. A. (2013). Systematic reviews in software engineering: An empirical investigation. Information and Software Technology, 55(7),

    Google Scholar 

  51. Zhao, Y., Robal, T., Lofi, C., Hauff, C.: Stationary vs. non-stationary mobile learning in moocs. In: Proc. of the 26th International Conference on User Modeling, Adaptation and Personalization (June 2018)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Applied Science Campus Vienna, Favoritenstr. 226, 1100, Vienna, Austria

    Sigrid Schefer-Wenzl, Igor Miladinovic & Alice Ensor

Authors
  1. Sigrid Schefer-Wenzl
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Igor Miladinovic
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Alice Ensor
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sigrid Schefer-Wenzl .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences, Villach, Austria

    Michael E. Auer

  2. Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Thrasyvoulos Tsiatsos

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Schefer-Wenzl, S., Miladinovic, I., Ensor, A. (2019). A Survey of Mobile Learning Approaches for Teaching Internet of Things. In: Auer, M., Tsiatsos, T. (eds) Mobile Technologies and Applications for the Internet of Things. IMCL 2018. Advances in Intelligent Systems and Computing, vol 909. Springer, Cham. https://doi.org/10.1007/978-3-030-11434-3_25

Download citation

Publish with us

Policies and ethics

Search

Navigation