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The Influence of Learning Styles on a Model of IoT-based Inclusive Education and Its Architecture

  • Received : 2019.07.04
  • Accepted : 2019.10.31
  • Published : 2019.10.31

Abstract

The Internet of Things (IoT) is a new paradigm that is revolutionizing computing. It is intended that all objects around us will be connected to the network, providing "anytime, anywhere" access to information. This study introduces IoT with Kolb's learning style in order to enhance the learning experience especially for inclusive education for primary and secondary schools where delivery of knowledge is not limited to physical, cognitive disabilities, human diversity with respect to ability, language, culture, gender, age and of other forms of human differences. The article also emphasizes the role of learning style as a discovery process that incorporates the characteristics of problem solving and learning. Kolb's Learning Style was chosen as it is widely used in research and in practical information systems applications. A consistent pattern of finding emerges by using a combination of Kolb's learning style and internet of things where specific individual differences, learning approach differences and IoT application differences are taken as a main research framework. Further several suggestions were made by using this combination to IoT architecture and smart environment of internet of things. Based on these suggestions, future research directions are proposed.

Keywords

References

  1. Ainscow, M., "Developing inclusive education systems: What are the levers for change?", Journal of Educational Change, Vol. 6, No. 2, 2005, pp. 109-124. https://doi.org/10.1007/s10833-005-1298-4
  2. Alghamdi, A. and Shetty, S., Survey toward a smart campus using the internet of things, Proceedings-2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud), 2016.
  3. Bagheri, M. and Movahed, S. H., The Effect of the Internet of Things (IoT) on Education Business Model, In: 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), IEEE Computer Society, 2016, 435-441.
  4. Cat A, M., Smart university, a new concept in the Internet of Things, 2015 14th RoEduNet International Conference- Networking in Education and Research, Ro-EduNet NER 2015-Proceedings, 2015.
  5. Chang, C. H., Smart classroom roll caller system with IOT architecture, Proceedings-2011 2nd International Conference on Innovations in Bio-Inspired Computing and Applications, IBICA 2011. 2011.
  6. Chew, C. B., "Sensors-Enabled Smart Attendance Systems Using NFC And RFID Technologies", International Journal of New Computer Architectures and Their Applications, Vol. 5, No. 1, 2015, pp. 19-28. https://doi.org/10.17781/P001645
  7. Domingo, M. C., "An overview of the Internet of Things for people with disabilities", Journal of Network and Computer Applications, Vol. 35, No. 2, 2012, pp. 584-596. https://doi.org/10.1016/j.jnca.2011.10.015
  8. Dutton, W. H., ITU Internet Report, The Internet of Things, In ITU Internet Reports, 2005.
  9. Gubbi, J., Buyya, R., Marusic, S., and Palaniswami, M., "Internet of Things (IoT): A vision, architectural elements, and future directions", Future Generation Computer Systems, Vol. 29, No. 7, 2013, pp. 1645-1660. https://doi.org/10.1016/j.future.2013.01.010
  10. Gul, S., Asif, M., Ahmad, S., Yasir, M., Majid, M., and Malik, M. S. A., "A Survey on role of Internet of Things in education", IJCSNS International Journal of Computer Science and Network Security, Vol. 17, No. 5, 2017, pp. 159-165.
  11. Hollier, S., Mcrae, L., Ellis, K., and Kent, M., Internet of Things (IoT) Education: Implications for Students with Disabilities Implications for Students with Disabilities Internet of Things (IoT): Education Internet of Things (IoT) Education: Implications for Students with Disabilities.i Internet of Retrieved from www.curtin.edu.au, 2017.
  12. Husnjak, S., Perakovic, D., and Jovovic, I., "Possibilities of using speech recognition systems of smart terminal devices in traffic environment", Procedia Engineering, Vol. 69, 2014, pp. 778-787. https://doi.org/10.1016/j.proeng.2014.03.054
  13. Kolb, A. Y. and Kolb, D. A., The Kolb Learning Style Inventory 4.0-A Comprehensive Guide to the Theory, Psychometrics, Research on Validity and Educational Applications, In Experience Based Learning Systems, Inc, 2013, https://doi.org/10.1016/S0260-6917(95)80103-0.
  14. Kolb, D., Learning styles inventory, The Power of the $2{\times}2$ Matrix, 1985, https://doi.org/10.2308/iace.2001.16.3.341.
  15. Kolb, D. and Fry, R., Toward an applied theory of experiential learning, In Theories of Group Process, 1975.
  16. Maenpaa, H., Varjonen, S., Hellas, A., Tarkoma, S., and Mannisto, T., Assessing IOT projects in university education- A framework for problem-based learning, Proceedings-2017 IEEE/ACM 39th International Conference on Software Engineering: Software Engineering and Education Track, ICSE-SEET, 2017,
  17. Mcrae, L., Ellis, K., and Kent, M., Internet of Things (IoT): Education and Technology, The Relationship between Education and Technology for Students with Disabilities Leanne, Research, 2018.
  18. Rytivaara, A., "Collaborative classroom management in a co-taught primary school classroom", International Journal of Educational Research, Vol. 53, 2012, pp. 182-191. https://doi.org/10.1016/j.ijer.2012.03.008
  19. Saljo, R., "Learning approach and outcome: Some empirical observations", Instructional Science, Vol. 10, No. 1, 1981, pp. 47-65. https://doi.org/10.1007/BF00124566
  20. Sheng, Z., Mahapatra, C., Zhu, C., and Leung, V. C. M., Recent Advances in Industrial Wireless Sensor Networks Toward Efficient Management in IoT, IEEE Access, 3, 2015,
  21. Simic, K., Despotovic-Zrakic, M., Duric, I., Milic, A., and Bogdanovic, N., "A model of smart environment for e-learning based on crowdsourcing", In Journal of Universal Excellence, Vol. 4, No. 1, 2015, pp. A1-A10.
  22. Veeramanickam,M. R.M. andMohanapriya, M., "IOT enabled Futurus Smart Campus with effective E-Learning : i-Campus", International Journal of Engineering Technology, Vol. 3, No. 4, 2016, pp. 81-87.
  23. Verma, P. and Sood, S. K., "Internet of Things-based student performance evaluation framework", Behaviour and Information Technology, Vol. 37, No. 2, 2018, pp. 102-119. https://doi.org/10.1080/0144929X.2017.1407824
  24. Weiser, M., The computer of 21st century, Scientific America, 1991.
  25. Youngblood, G. M., Heierman, E. O., Holder, L. B., and Cook, D. J., Automation intelligence for the smart environment, IJCAI International Joint Conference on Artificial Intelligence, 2005.