A Survey of Mobile Learning Approaches for Teaching Internet of Things
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
Subscribe and save
Springer+ Basic
€32.70 /Month
- Get 10 units per month
- Download Article/Chapter or eBook
- 1 Unit = 1 Article or 1 Chapter
- Cancel anytime
Buy Now
Price includes VAT (France)
eBook EUR 160.49 Price includes VAT (France)
Softcover Book EUR 210.99 Price includes VAT (France)
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
The Internet of Things as a Tool Towards Smart Education: A Systematic Review
Chapter © 2023
The Latest Technologies for Mobile Learning
Chapter © 2020
Section Introduction: Mobile Learning
Chapter © 2018
References
- 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
- 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
- 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
- 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
- Boyer, E. (1997). Scholarship reconsidered: Priorities of the professoriate. Hillsdale, NJ: Jossey-Bas. Google Scholar
- 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. ArticleGoogle Scholar
- Brock, S. A. (1999). The networked physical world. MIT Auto-ID Center White Paper. Google Scholar
- Bruck, P. A., Motiwalla, L., & Foerster, F. (2012). Mobile learning with micro-content: A framework and evaluation. In Bled eConference. Google Scholar
- 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
- 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
- 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
- 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
- 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
- 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. ChapterGoogle Scholar
- 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
- 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
- Ghezzi, C., & Mandrioli, D. (2006). The challenges of software engineering education (pp. 115–127). Berlin, Heidelberg: Springer. Google Scholar
- 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
- 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
- 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. ChapterGoogle Scholar
- 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
- 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
- Kallookaran, M., & Siemon, D. (2017). Using mobile learning to create a reciprocal peer learning environment. In AMCIS 2017. Boston, Massachusetts, USA. Google Scholar
- 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
- 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
- Krotov, V. (2015). Critical success factors in m-learning: A socio-technical perspective. Communications of the Association for Information Systems, 36(6). Google Scholar
- 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
- 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
- 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
- Lu, X., & Viehland, D. (2008). Factors influencing the adoption of mobile learning. In ACIS 2008 Proceedings. New Zealand. Google Scholar
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Sendov, B. (1997). Towards global wisdom in the era of digitalization and communication. Prospects, 27(3), 415–426. ArticleGoogle Scholar
- 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
- 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. ArticleGoogle Scholar
- Weldon, M. K. (2016). The Future X Network. A Bell Labs Perspective: CRC Press. BookGoogle Scholar
- 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
- 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
- Zhang, H., & Babar, M. A. (2013). Systematic reviews in software engineering: An empirical investigation. Information and Software Technology, 55(7), Google Scholar
- 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
Author information
Authors and Affiliations
- University of Applied Science Campus Vienna, Favoritenstr. 226, 1100, Vienna, Austria Sigrid Schefer-Wenzl, Igor Miladinovic & Alice Ensor
- Sigrid Schefer-Wenzl