Abstract
Learning content using context-aware mobile technology, whether the content is manual or interactive, is hardly expected to arouse learners to interest or immersion because most of real-life environment is discrete from mobile content. For this reason, Augmented Reality is used to fix the drawback and to provide learners with an educational environment fit for desirable practice of the theory of situated learning. Increasing interest in Augmented Reality in recent years has led to multiple study efforts to build applications based on Augmented Reality, most of which require additional hardware or software, resulting in difficulties in establishing proper learning environment in the field of education. Therefore, in this paper we propose an intelligent context-aware learning system based on mobile Augmented Reality that provides a hassle-free desirable learning environment requiring nothing but a common mobile device.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., MacIntyre, B.: Recent advances In augmented reality. IEEE Computer Graphics and Applications 25(6), 34–47 (2001)
Höllerer, T., Feiner, S., Terauchi, T., Rashid, G., Ha11away, D.: Exploring MARS: Developing indoor and outdoor user interfaces to a mobile augmented rea1ity system. Computers & Graphics 23(6), 779–785 (1999)
Woo, W., Jeon, M.-G., Nam, T.-J., Lee, S.-G., Cho, W.-D.: CAMAR, JinhanM&B
KERIS, Research on Using Augmented Reality for Interactive Educational Digital Contents (2005)
Cognitive and Technology Group at Vanderbilt. Anchored instruction and situated cognition revisited. Educational Technology 33(3), 52–70 (1993)
Mitchell, T., Caruana, R., Freitag, D., Dermott, J.M., Zabowski, D.: Experience with a learning personal assistant. Communication of the ACM 37(7), 80–91 (1994)
Thomas, E.R., John, H.G., Henrik, E., Angel, R.P., Samson, W.T., Mark, A.M.: Reusable ontologies, knowledge-acquisition tools, and performance systems: PROTE’GE’-II solutions to Sisyphus-2. International Journal of Human-Computer Studies 44(3-4), 303–332 (1996)
Hong, J.H., Cho, S.B.: Machine Learning and Intelligent Agents. The Korean Institute of Information Scientists and Engineers 25(3), 64–69 (2007)
Lee, C.S., Pan, C.Y.: An intelligent fuzzy agent for meeting scheduling decision support system. Fuzzy Sets and Systems 142(3), 467–488 (2004)
Hsinchun, C., Yi-Ming, C., Ramsey, M., Yang, C.: An intelligent personal spider(agent) for dynamic internet/intranet searching. Decision Support Systems 23(1), 41–58 (1998)
Horvitz, E.J., Breese, D., Heckerman, D., Hovel, D., Rommelse, K.: The Lumiere project, Bayesian user modeling for inferring the goals and needs of software users. In: Proceedings of the 14th Conference on Uncertainty in n Artificial Intelligence, pp. 256–265 (1998)
Hamdi, M.S.: MASACAD: A multi agent-based approach to information customization. IEEE Intelligent Systems 21(1), 60–67 (2006)
The Invisible Train, http://studierstube.icg.tu-graz.ac.at/invisible_train/
ARCO Project, http://www.soi.city.ac.uk/~fotisl/AREL/archaeology.htm
MonoGatahari Project, http://www.beatiii.jp/projects.html
Wagner, D., Barakonyi, I.: Augmented Reality Kanji Learning. In: Proceedings of the 2nd IEEE/ACM Symposium on Mixed and Augmented Reality (ISMAR 2003), pp. 335–336 (2003)
Ha, T., Woo, W.: Video see-through HMD based Hand Interface for Augmented Reality, pp. 169–174 (2006)
Khan, L., McLeod, D., Hovy, E.H.: Retrieval effectiveness of an ontology-based model for information selection. VLDB J. 13(1), 71–85 (2004)
Kim, J.-i., Lee, Y.-H., Lee, H.-H.: Development of a mobile language learning assistant system based on smartphone. In: Kim, T.-h., Vasilakos, T., Sakurai, K., Xiao, Y., Zhao, G., Ślęzak, D. (eds.) FGCN 2010. CCIS, vol. 120, pp. 321–329. Springer, Heidelberg (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, JI., Park, Iw., Lee, HH. (2011). An Intelligent Context-Aware Learning System Based on Mobile Augmented Reality. In: Kim, Th., Adeli, H., Robles, R.J., Balitanas, M. (eds) Ubiquitous Computing and Multimedia Applications. UCMA 2011. Communications in Computer and Information Science, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20998-7_32
Download citation
DOI: https://doi.org/10.1007/978-3-642-20998-7_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20997-0
Online ISBN: 978-3-642-20998-7
eBook Packages: Computer ScienceComputer Science (R0)