A MODEL OF SMART ENVIRONMENT FOR E-LEARNING BASED ON CROWDSOURCING
DOI:
https://doi.org/10.37886/Ključne besede:
smart environment, internet of things, crowdsourcingPovzetek
This paper deals with the application of the concepts of Internet of Things and its application in creating smart environments. The specific goal is to design a smart environment for enhancing the teaching and learning processes at universities. The environment should integrate adequate concepts of smart buildings and smart classrooms with e-learning systems, in order to provide students with advanced e-learning services and services that improve the overall quality of students' experience. In addition, the model is based on the concept of crowdsourcing, where students actively participate in gathering the information, designing and implementing the e-services. Finally, the paper describes a prototype of the designed smart environment implemented at the Department for e-Business, at University of Belgrade.
Literatura
1. Barrero, F., Toral, S. L., Vargas, M., & Becerra, J. (2012). Networked Electronic Equipments Using the IEEE 1451 Standard—VisioWay: A Case Study in the ITS Area. International Journal of Distributed Sensor Networks, 2012, 1–12. doi:10.1155/2012/467124
2. Bell, B. S., & Federman, J. E. (2013). E-learning in Postsecondary Education. The Future of Children, 23(1), 165–185. doi:10.1353/foc.2013.0007
3. Brabham, D. C. (2008). Crowdsourcing as a Model for Problem Solving. The International Journal of Research into New Media Technologies, 14(1), 75–90. doi:10.1177/1354856507084420
4. Bradley, J.-C., Lancashire, R. J., Lang, A. S. I. D., & Williams, A. J. (2009). The Spectral Game: leveraging Open Data and crowdsourcing for education. Journal of Cheminformatics, 1(1), 1–10.
5. Clark, R. C., & Mayer, R. E. (2011). E-learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning. John Wiley & Sons.
6. Crowdsourcing Class. (2014). Retrieved May 20, 2014, from http://crowdsourcing-class.org/syllabus.html
7. De Bra, P., Smits, D., van der Sluijs, K., Cristea, A. I., Foss, J., Glahn, C., & Steiner, C. M. (2013). GRAPPLE: Learning management systems meet adaptive learning environments. In Intelligent and Adaptive Educational-Learning Systems (pp. 133–160). Springer.
8. Drosos, C., Dre, C., Metafas, D., Soudris, D., & Blionas, S. (2004). The low power analogue and digital baseband processing parts of a novel multimode DECT/GSM/DCS1800 terminal. Microelectronics Journal, 35(7), 609–620. doi:10.1016/j.mejo.2004.02.002
9. Farhangi, H. (2010). The path of the smart grid. IEEE Power and Energy Magazine, 8(1), 18–28. doi:10.1109/MPE.2009.934876
10. Fernandez-Montes, A., Ortega, J. A., Alvarez, J. A., & Gonzalez-Abril, L. (2009). Smart Environment Software Reference Architecture. In INC, IMS and IDC, 2009. NCM ’09. Fifth International Joint Conference on (pp. 397–403). doi:10.1109/NCM.2009.115
11. Firmin, M. W., & Genesi, D. J. (2013). History and Implementation of Classroom Technology. Procedia - Social and Behavioral Sciences, 93, 1603–1617. doi:10.1016/j.sbspro.2013.10.089
12. Hong, K., Lee, S., & Lee, K. (2014). Performance improvement in ZigBee-based home networks with coexisting WLANs. Pervasive and Mobile Computing. doi:10.1016/j.pmcj.2014.03.002
13. Howe, J. (2006). The rise of crowdsourcing. Wired Magazine, 14(6), 1–4.
14. Husnjak, S., Perakovic, D., & Jovovic, I. (2014). Possibilities of Using Speech Recognition Systems of Smart Terminal Devices in Traffic Environment. Procedia Engineering, 69, 778–787. doi:10.1016/j.proeng.2014.03.054
15. Kubiatko, M., & Haláková, Z. (2009). Slovak high school students’ attitudes to ICT using in biology lesson. Computers in Human Behavior, 25(3). Retrieved from https://is.muni.cz/publication/855592?lang=en
16. Lévy, P. (1994). L’intelligence collective: pour une anthropologie du cyberspace (Vol. 11). La Découverte Paris.
17. Lucke, D., Constantinescu, C., & Westkämper, E. (2008). Smart Factory - A Step towards the Next Generation of Manufacturing. In M. Mitsuishi, K. Ueda, & F. Kimura (Eds.), Manufacturing Systems and Technologies for the New Frontier (pp. 115–118). London, UK: Springer. doi:10.1007/978-1-84800-267-8_23
18. McDaniel, P., & McLaughlin, S. (2009). Security and Privacy Challenges in the Smart Grid. Security Privacy, IEEE, 7(3), 75–77. doi:10.1109/MSP.2009.76
19. Rosen, P. A. (2011). Crowdsourcing Lessons for Organizations. Journal of Decision Systems, 20(3), 309–324.
20. Rytivaara, A. (2012). Collaborative classroom management in a co-taught primary school classroom. International Journal of Educational Research, 53, 182–191. doi:10.1016/j.ijer.2012.03.008
21. Santana-Mancilla, P. C., Echeverría, M. A. M., Santos, J. C. R., Castellanos, J. A. N., & Díaz, A. P. S. (2013). Towards Smart Education: Ambient Intelligence in the Mexican Classrooms. Procedia - Social and Behavioral Sciences, 106, 3141–3148. doi:10.1016/j.sbspro.2013.12.363
22. Tait, A. (2003). Reflections on Student Support in Open and Distance Learning. The International Review of Research in Open and Distance Learning, 4(1), 1–9.
23. Venkatesh, V., Croteau, A.-M., & Rabah, J. (2014). Perceptions of Effectiveness of Instructional Uses of Technology in Higher Education in an Era of Web 2.0. In System Sciences (HICSS), 2014 47th Hawaii International Conference on (pp. 110–119). doi:10.1109/HICSS.2014.22
24. Weiser, M. (1991). The computer for the 21st century. Scientific American, 265(3), 94–104.
25. Yuen, M.-C., King, I., & Leung, K.-S. (2011). A Survey of Crowdsourcing Systems. In Privacy, security, risk and trust (passat), 2011 ieee third international conference on and 2011 ieee third international conference on social computing (socialcom) (pp. 766–773). doi:10.1109/PASSAT/SocialCom.2011.203
26. Zhang, D., Zhu, Y., Zhao, C., & Dai, W. (2012). A new constructing approach for a weighted topology of wireless sensor networks based on local-world theory for the Internet of Things (IOT). Computers & Mathematics with Applications, 64(5), 1044–1055. doi:10.1016/j.camwa.2012.03.023
