Abstract
Using mobile personal devices to interact with pervasive smart learning objects and services that create contextualized learning ecosystems can enhance both the learning outcomes and the motivational states of students. This paper defines and analyzes several pervasive learning ecosystems in which students at the Carlos III University of Madrid interact with contextualized learning objects and services. The technology defining the contextualized learning environments is first introduced and later used in two user experiments. These experiments provide data both about the learning outcomes for students after interacting with smart learning objects and services and about the motivational impact that the use of these technologies have on them.
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References
Sakamura, K., Koshizuka, N.: Ubiquitous computing technologies for ubiquitous learning. In: IEEE International Workshop on Wireless and Mobile Technologies in Education, WMTE 2005, November 28-30, pp. 11–20 (2005)
International Telecommunication Union ITU, ITU Internet Reports 2005: The Internet of Things (2005)
Wiechert, T., Thiesse, F., Michahelles, F., Schmitt, P., Fleisch, E.: Connecting Mobile Phones to the Internet of Things: A Discussion of Compatibility Issues between EPC and NFC. In: Americas Conference on Information Systems (AMCIS), Keystone, Colorado, USA (2007)
Welbourne, E., Battle, L., Cole, G., Gould, K., Rector, K., Raymer, S., Balazinska, M., Borriello, G.: Building the Internet of Things Using RFID: The RFID Ecosystem Experience. IEEE Internet Computing 13(3), 48–55 (2009)
Holzinger, A., Nischelwitzer, A., Meisenberger, M.: Mobile Phones as a Challenge for m-Learning: Examples for Mobile Interactive Learning Objects (MILOs). In: IEEE International Conference on Pervasive Computing and Communications Workshops, Third IEEE International Conference on Pervasive Computing and Communications Workshops, Hawai, pp. 307–311 (2005)
Ogata, H.: Computer Supported Ubiquitous Learning: Augmenting Learning Experiences in the Real World. In: Fifth IEEE International Conference on Wireless, Mobile, and Ubiquitous Technology in Education (wmute 2008), Beijing, China, pp. 3–10 (2008)
Hsieh, H.C., Chen, C.M., Hong, C.M.: Context-Aware Ubiquitous English Learning in a Campus Environment. In: 7th IEEE International Conference on Advanced Learning Technologies (ICALT 2007), Niigata, Japan, pp. 351–353 (2007)
Liu, T.Y., Chu, Y.L., Tan, T.H., Chang, C.C.: RFID-based Ubiquitous Learning Environment for Outdoor Learning. In: 7th IEEE International Conference on Advanced Learning Technologies (ICALT 2007), Niigata, Japan, pp. 675–677 (2007)
Wu, T.T., Yang, T.C., Hwang, G.J., Chu, H.C.: Conducting Situated Learning in a Context-Aware Ubiquitous Learning Environment. In: Fifth IEEE International Conference on Wireless, Mobile, and Ubiquitous Technology in Education, Beijing, China, pp. 82–85 (2008)
Bruner, J.S.: The Act of Discovery. Harvard Educational Review 31, 21–32 (1961)
Brown, J.S., Collins, A., Duguid: Situated Cognition and the Culture of Learning. Educational Researcher 18(1), 32–42 (1989)
Barrows, H.S., Tamblyn, R.M.: An evaluation of problem-based learning in small groups utilizing a simulated patient. Journal of Medical Education 51, 52–54 (1976)
Newell, A., Simon, H.A.: Human Problem Solving. Prentice-Hall, Englewood Cliffs (1972)
Moura, A., Carvalho, A.A.: Mobile Learning: Teaching and Learning with Mobile Phones and Podcasts. In: Eighth IEEE International Conference on Advanced Learning Technologies, Santander, Spain, pp. 631–633 (2008)
An, J.: Activity Theory for Designing Ubiquitous Learning Scenarios. In: Innovative Techniques in Instruction Technology, E-learning, E-assessment, and Education, pp. 205–209. Springer, Netherlands (2008)
Ortiz Jr., S.: Is near-field communication close to success? IEEE Computer Publication, Los Alamitos (2006)
Yan, L., Zhang, Y., Yang, L.T., Ning, H., Zhang, Y.: The Internet of Things From RFID to the Next-Generation Pervasive Networked Systems. Auerbach Publication (March 2008)
Garcia-Zubia, J., Lopez-de-Ipia, D., Ordua, P.: Mobile Devices and Remote Labs in Engineering Education. In: Eighth IEEE International Conference on Advanced Learning Technologies, ICALT 2008, pp. 620–622 (2008)
Gonzalez, G.R., Organero, M.M., Kloos, C.D.: Early Infrastructure of an Internet of Things in Spaces for Learning. In: Eighth IEEE International Conference on Advanced Learning Technologies, ICALT 2008, July 1-5, pp. 381–383 (2008)
Kranz, M., Schmidt, A., Holleis, P.: Embedded Interaction - Interacting with the Internet of Things. In: IEEE Internet Computing Online (December 2009) (accepted for future publication), doi:10.1109/MIC.2009.141
Muñoz-Organero, M., Muñoz-Merino, P.J., Delgado Kloos, C.: Enabling M-Learning Applications In MIDP Devices: Specification And Development Of An HTML To MIDP Automatic Converter. In: International Technology, Education and Development Conference, Valencia (March 2007)
Muñoz-Organero, M., Delgado Kloos, C.: Web-enabled middleware for mobile devices. In: International Wireless Applications and Computing 2007 Conference, Lisbon, Portugal, July 6-8 (2007)
Ramírez, G., Organero, M.M., Kloos, C.D., Astaiza, Á.C.: Exploring NFC Interactive Panel. In: The Fifth Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2008), Dublin, Ireland, July 21-25 (2008)
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Muñoz-Organero, M., Ramírez, G.A., Muñoz-Merino, P.J., Kloos, C.D. (2011). Framework for Contextualized Learning Ecosystems. In: Kloos, C.D., Gillet, D., Crespo García, R.M., Wild, F., Wolpers, M. (eds) Towards Ubiquitous Learning. EC-TEL 2011. Lecture Notes in Computer Science, vol 6964. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23985-4_21
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DOI: https://doi.org/10.1007/978-3-642-23985-4_21
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