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Issue No.06 - June (2009 vol.21)
pp: 910-924
Xiang Li , Tsinghua Univerisity, Beijing
Ling Feng , Tsinghua University, Beijing
Lizhu Zhou , Tsinghua University, Beijing
Yuanchun Shi , Tsinghua University, Beijing
The rapid evolution of information and communication technology opens a wide spectrum of opportunities to change our surroundings into an Ambient Intelligent (AmI) world. AmI is a vision of future information society, where people are surrounded by a digital environment that is sensitive to their needs, personalized to their requirements, anticipatory of their behavior, and responsive to their presence. It emphasizes on greater user friendliness, user empowerment, and more effective service support, with an aim to bring information and communication technology to everyone, every home, every business, and every school, thus improving the quality of human life. AmI unprecedentedly enhances learning experiences by endowing the users with the opportunities of learning in context, a breakthrough from the traditional education settings. In this survey paper, we examine some major characteristics of an AmI learning environment. To deliver a feasible and effective solution to ambient learning, we overview a few latest developed enabling technologies in context awareness and interactive learning. Associated practices are meanwhile reported. We also describe our experience in designing and implementing a smart class prototype, which allows teachers to simultaneously instruct both local and remote students in a context-aware and natural way.
Learning, ambient intelligence, context aware, interactive learning, RFID, smart classroom.
Xiang Li, Ling Feng, Lizhu Zhou, Yuanchun Shi, "Learning in an Ambient Intelligent World: Enabling Technologies and Practices", IEEE Transactions on Knowledge & Data Engineering, vol.21, no. 6, pp. 910-924, June 2009, doi:10.1109/TKDE.2008.143
[1] G. Hwang, “Characters, Characteristics and Strategies of Ubiquitous Learning,” Proc. IEEE Int'l Conf. Sensor Networks, Ubiquitous and Trustworthy Computing (SUTC), 2006.
[2] syst_softw/amiindex.html, 2008.
[3] The New Everyday: Visions of Ambient Intelligence. E. Aarts and S. Marzano, eds. 010 Publishing, 2003.
[4] M. Weiser, “The Computer for the 21st Century,” Scientific Am., pp. 94-104, Sept. 1991.
[5] M. Dertouzos, “The Future of Computing,” Scientific Am., Aug. 1999.
[6] M. Satyanarayanan, “Pervasive Computing, Vision and Challenges,” IEEE Personal Comm., pp. 10-17, Aug. 2001.
[7] E. Liikanen, “Ambient Intelligence in Future EU Research Efforts,” ERCIM News, no. 47, Oct. 2001.
[8] European Commission, Scenarios for Ambient Intelligence in 2010,, 2001.
[9] L. Naismith, P. Lonsdale, G. Vavoula, and M. Sharples, Literature Review in Mobile Technologies and Learning, Report for NESTA Futurelab, 2005.
[10] C. Looi, “Communication Techniques,” Handbook of Information Technologies for Education and Training. Springer, 2001.
[11] J. Nichols and R. Miller, “Cooperative Learning and Student Motivation,” Contemporary Educational Psychology, vol. 19, pp.167-178, 1994.
[12] Y. Shi, W. Xie, G. Xu, R. Shi, E. Chen, Y. Mao, and F. Liu, “The Smart Classroom: Merging Technologies for Seamless Tele-Education,” IEEE Pervasive Computing, vol. 2, no. 2, Apr.-June 2003.
[13] R. Oppermann, “User-Interface Design,” Handbook of Information Technologies for Education and Training, Springer, 2001.
[14] E. Ackermann, “Perspective-Taking and Object Construction: Two Keys to Learning,” Constructionism in Practice: Designing, Thinking and Learning in a Digital World, Y. Kafai and M. Resnick, eds., Lawrence Erlbaum, 1996.
[15] A. Jones and K. Issroff, “Learning Technologies: Affective and Social Issues,” Perspective on e-Learning Research, Routledge Falmer, 2008.
[16] D. Livingstone, Exploring the Icebergs of Adult Learning: Findings of the First Canadian Survey of Informal Learning Practices, NALL (New Approaches to Lifelong Learning), OISE/UT, 2000.
[17] M. Sharples, J. Taylor, and G. Vavoula, “Towards a Theory of Mobile Learning,” Proc. Fourth World Conf. mLearning, Oct. 2005.
[18] G. Pask, Conversation Theory: Applications in Education and Epistemology. Elsevier, 1976.
[19] J. Lave and E. Wenger, Situated Learning: Legitimate Peripheral Participation. Cambridge Univ. Press, 1990.
[20] P. Lonsdale, C. Baber, M. Sharples, and T. Arvanitis, “A Context-Awareness Architecture for Facilitating Mobile Learning,” Proc. Second Ann. MLEARN Conf., 2003.
[21] H. Lieberman and T. Selker, “Out of Context: Computer Systems that Adapt to, and Learn from, Context,” IBM Systems J., vol. 39, nos. 3-4, pp. 617-632, 2000.
[22] A. Dey, “Understanding and Using Context,” Personal and Ubiquitous Computing, 2001.
[23] K. Henricksen and J. Indulska, “Modelling and Using Imperfect Context Information,” Proc. IEEE PerCom Workshop Context Modeling and Reasoning (CoMoRea '04), pp. 33-37, 2004.
[24] L. Feng, P. Apers, and W. Jonker, “Towards Context-Aware Data Management for Ambient Intelligence,” Proc. 15th Int'l Conf. Database and Expert Systems Applications (DEXA '04), pp. 422-431, 2004.
[25] D. Frohberg, “Mobile Learning Is Coming of Age—What We Have and What We Still Miss,” e-Learning Fachtagung Informatik der Gesellschaft für Informatik (DeLFI), 2006.
[26] F. Lehner, H. Nosekable, and G. Bremen, “M-Learning and M-Education,” Mobile und drahtlose Anwendungen im Unterricht. Bericht 63, Universitat Regensburg—Lehrstuhl fur WirtsChaftsinformatik III, Jan. 2003.
[27] U. Leonhart and J. Magee, “Security Considerations for a Distributed Location Service,” J. Network and Systems Management, vol. 6, no. 1, pp. 51-70, 1998.
[28] B. Schilit, M. Theimer, and B. Welch, “Customizing Mobile Applications,” Proc. Usenix Mobile and Location-Independent Computing Symp., pp. 129-138, Aug. 1993.
[29] K. Henricksen, J. Indulska, and A. Rakotonirainy, “Modeling Context Information in Pervasive Computing Systems,” Proc. First Int'l Conf. Pervasive Computing (Pervasive '02), pp. 167-180, Aug. 2002.
[30] A. Harter, A. Hopper, P. Steggles, A. Ward, and P. Webster, “The Anatomy of a Context-Aware Application,” Proc. ACM MobiCom '99, pp. 59-68, 1999.
[31] P. Gray and D. Salber, “Modeling and Using Sensed Context in the Design of Interactive Applications,” Proc. Eighth IFIP Conf. Eng. for Human-Computer Interaction (EHCI '01), pp. 317-336, May 2001.
[32] I. Cantador, M. Fernández, D. Vallet, P. Castells, J. Picault, and M. Ribière, “A Multi-Purpose Ontology-Based Approach for Personalised Content Filtering and Retrieval,” Advances in Semantic Media Adaptation and Personalization, pp. 25-51, Springer, 2008.
[33] P. Korpipää, J. Mantyjärvi, J. Kela, H. Keränen, and E. Malm, “Managing Context Information in Mobile Devices,” IEEE Pervasive Computing, vol. 2, no. 3, July-Sept. 2003.
[34] J. Berri, R. Benlamri, and Y. Atif, “Ontology-Based Framework for Context-Aware Mobile Learning,” Proc. Int'l Wireless Comm. and Mobile Computing Conf. (IWCMC '06), July 2006.
[35] G. Chen and D. Kotz, “A Survey of Context-Aware Mobile Computing Research,” Technical Report TR2000-381, Computer Science, Dartmouth College, Nov. 2000.
[36] A. Bunningen, L. Feng, and P. Apers, “A Context-Aware Preference Model for Database Querying in an Ambient Intelligent Environment,” Proc. 17th Int'l Conf. Database and Expert Systems Applications (DEXA '06), pp. 33-43, Sept. 2006.
[37] W. Schilit, “System Architecture for Context-Aware Mobile Computing,” PhD dissertation, Columbia Univ., May 1995.
[38] P. Brown, “The Stick-e Document: A Framework for Creating Context-Aware Applications,” Proc. Int'l Conf. Electronic Processing, pp. 259-272, Sept. 1996.
[39] P. Brown, J. Bovey, and X. Chen, “Context-Aware Applications: From the Laboratory to the Marketplace,” IEEE Personal Comm., vol. 4, no. 5, pp. 58-64, 1997.
[40] D. Salber, A. Dey, and G. Abowd, “The Context Toolkit: Aiding the Development of Context-Enabled Applications,” Technical Report GIT-GVU-98-33, 1998.
[41] A. Schmidt, K. Aidoo, A. Takaluoma, U. Tuomela, K. Laerhoven, and W. Velde, “Advanced Interaction in Context,” Proc. First Int'l Symp. Handheld and Ubiquitous Computing, pp. 89-101, Sept. 1998.
[42] R. Hull, P. Neaves, and J. Bedford-Roberts, “Towards Situated Computing,” Proc. First Int'l Symp. Wearable Computers, pp.146-153, Oct. 1997.
[43] J. Hong and J. Landay, “An Infrastructure Approach to Context-Aware Computing,” Human-Computer Interaction, vol. 16, no. 2-4, pp. 287-303, 2001.
[44] R. DeVaul and A. Pentland, “The Ektara Architecture: The Right Framework for Context-Aware Wearable and Ubiquitous Computing Applications,” technical report, MIT, 2000.
[45] P. Costa, “Towards a Service Platform for Context-Aware Applications,” master's thesis, Univ. of Twente, The Netherlands, Aug. 2003.
[46] J. Riekki, J. Huhtinen, P. Ala-Siuru, P. Alahuhta, J. Kaartinen, and J. Röning, Genie of the Net: Context-Aware Information Management, infomanage. pdf, 2000.
[47] G. Smith, “Place-Based Education: Learning to Be Where We Are,” Phi Delta Kappan, vol. 83, pp. 584-594.
[48] J. Dewey, “School and Society,” Dewey on Education, M.Dworkin,ed., pp. 76-78, Teachers College Press, 1959.
[49] J. Woodhouse, “Over the River and through the Hood: Re-Viewing Place as a Focus of Pedagogy,” Thresholds in Education, vol. 27, nos. 3/4, pp. 1-5, 2008.
[50] G. Kehrberg, “Place-Based Education: An Annotated Bibliography,” http://www.clearingmagazine.orgplace-based.html , 2008.
[51] “What Does Place-Based Learning Look Like? Examples of Place-Based Learning Portfolios,” http:/, 2007.
[52] http://eduscapes.comomrp/, 2008.
[53] L. Naismith, M. Sharples, and J. Ting, “Evaluation of CAERUS: A Context Aware Mobile Guide,” Proc. Fourth World Conf. mLearning, 2005.
[54] M. Wang, L. Ci, P. Zhan, and Y. Xu, “Applying Wireless Sensor Networks to Context-Awareness in Ubiquitous Learning,” Proc. Third Int'l Conf. Natural Computation (ICNC), 2007.
[55] N. Pachler, “Mobile Learning towards a Research Agenda,” Occasional Papers in Work-Based Learning 1, WLE Centre, 2007.
[56] SPERO: TeleInformatics System for Continuous Collection, Processing, Diffusion of Material for Teacher Training in Special Education, http://www.image.ntua.grspero, 2008.
[57] J. Fink and A. Kobsa, “User Modeling for Personalized City Tours,” Artificial Intelligence Rev., vol. 18, pp. 33-74, 2002.
[58] IEEE P1484.2/D7, 2000-11-28, Draft Standard for Learning Technology—Public and Private Information (PAPI) for Learner (PAPILearner), 2007.
[59] N. Henze, P. Dolog, and W. Nejdl, “Reasoning and Ontologies for Personalized e-Learning in the Semantic Web,” Educational Technology & Soc., vol. 7, no. 4, pp. 82-97.
[60] R. Denaux, V. Dimitrova, and L. Aroyo, “Interactive Ontology-Based User Modeling for Personalized Learning Content Management,” Proc. Workshop Applications of Semantic Web technologies for E-Learning (SW-EL) at Adaptive Hypermedia (AH), 2004.
[61] D. Yu and X. Chen, “Using Bayesian Networks to Implement Adaptivity in Mobile Learning,” Proc. Second Int'l Conf. Semantics, Knowledge and Grid (SKG), 2006.
[62] R. Felder and L. Silverman, “Learning and Teaching Styles in Engineering Education,” Eng. Education, vol. 78, no. 7, pp. 674-681, 1988.
[63] A. Chen, “Context-Aware Collaborative Filtering System: Predicting the User's Preferences in Ubiquitous Computing,” Doctoral Consortium, Conf. Human Factors in Computing Systems (CHI '05), Apr. 2005.
[64] A. Economides, “Adaptive Mobile Learning,” Proc. Int'l Workshop Wireless, Mobile and Ubiquitous Technology in Education (WMTE), 2006.
[65] W. Chu, H. Lin, J. Chen, and X. Lin, “Context-Sensitive Content Representation for Mobile Learning,” Proc. Fourth Int'l Conf. Web-Based Learning (ICWL), 2005.
[66] S. Sharma and F. Kitchens, “Web Services Architecture for M-Learning,” Electronic J. e-Learning, vol. 2, no. 1, pp. 203-216, 2008.
[67], 2008.
[68] J. Barbosa, R. Hahn, D. Barbosa, and C. Geyer, “Mobile and Ubiquitous Computing in an Innovative Undergraduate Course,” Proc. ACM SIGCSE, 2007.
[69] C. Chang and J. Sheu, “Design and Implementation of Ad Hoc Classroom and e-Schoolbag Systems for Ubiquitous Computing,” Proc. First IEEE Int'l Workshop Wireless and Mobile Technologies in Education (WMTE '02), pp. 8-14, 2002.
[70] C. Thompson, L. Najjar, and J. Ockerman, “Wearable Computer Based Training and Performance Support Systems,” Proc. 19th Interservice/Industry Training, Simulation and Education Conf. (I/ITSEC '97), S. Aronberg, ed., pp. 746-752, 1997.
[71] M. Dickey, “Ninja Looting for Instructional Design: The Design Challenges of Creating a Game-Based Learning Environment,” ACM SIGGRAPH Educators Program, 2006.
[72] J. Sanchez, A. Salinas, and M. Saenz, “Mobile Game-Based Science Learning,” Proc. APRU Distance Learning and the Internet Conf. (DLI '06), Nov. 2006.
[73], 2008.
[74] P. Cheung, “Charles River City: An Educational Augmented Reality Simulation Pocket PC Game,” MEng thesis, Dept. of Electrical Eng. and Computer Science, Massachusetts Inst. of Tech nology, Feb. 2004.
[75] C. Göth, D. Frohberg, and G. Schwabe, “The Focus Problem in Mobile Learning,” Proc. Fourth IEEE Int'l Workshop Wireless, Mobile and Ubiquitous Technology in Education (WMTE), 2006.
[76] A. Molina, M. Redondo, and M. Ortega, “Using Patterns in Reengineering Processes for Mobile Learning User Interfaces,” Proc. Sixth Int'l Conf. Advanced Learning Technologies (ICALT), 2006.
[77] T. Moran and S. Zhai, “Beyond the Desktop Metaphor in Seven Dimensions,” Designing Integrated Digital Work Environments: Beyond the Desktop Metaphor, V. Kaptelinin and M.Czerwinski, eds., 2006.
[78] S. Kristoffersen and F. Ljungberg, “Making Place to Make IT Work: Empirical Explorations of HCI for Mobile CSCW,” Proc. ACM SIGGROUP, 1999.
[79] J. Pascoe, N. Ryan, and D. Morse, “Using While Moving: HCI Issues in Fieldwork Environments,” ACM Trans. Computer-Human Interaction, vol. 7, pp. 417-437, 2000.
[80] S. Brewster, “Overcoming the Lack of Screen Space on Mobile Computers,” Personal and Ubiquitous Computing, vol. 6, 2002.
[81] B. Thomas, V. Demczuk, W. Piekarski, D. Hepworth, and B. Gunther, “A Wearable Computer System with Augmented Reality to Support Terrestrial Navigation,” Proc. Second Int'l Symp. Wearable Computers (ISWC '98), pp. 168-171, Oct. 1998.
[82] Getting the Most Out of RFID: A Starting Guide to Radio Frequency Identification for SMEs, Commonwealth of Australia, 2006.
[83] G. Fischer, “User Modeling in Human-Computer Interaction,” J. User Modeling and User-Adapted Interaction, vol. 11, nos. 1/2, pp. 65-86, 2001.
[84] I. Whitehouse, “E-Learning Using Radio Frequency Identification (RFID) Device Scoping Study,” Australian Flexible Learning Framework, Dept. of Education, Science and Training, Australian Govt., 2006.
[85] Y. Rogers, S. Price, C. Randell, D. Fraser, M. Weal, and G. Fitzpatrick, “Ubi-Learning Integrates Indoor and Outdoor Experiences,” Comm. ACM, vol. 48, no. 1, 2005.
[86] H. Ogata, R. Akamatsu, H. Mitsuhara, Y. Yano, and K. Matsuura, “TANGO: Supporting Vocabulary Learning with RFID Tags,” Proc. Int'l Workshop Series on RFID, 2004.
[87] R. Morales-Salcedo, H. Ogata, and Y. Yano, “Towards a New Digital Library Infrastructure with RFID for Mobile e-Learning,” Proc. Third IEEE Int'l Workshop Wireless and Mobile Technologies in Education (WMTE), 2005.
[88] M. Miura, S. Kunifuji, B. Shizuki, and J. Tanaka, “AirTransNote: Augmented Classrooms with Digital Pen Devices and RFID Tags,” Proc. Third IEEE Int'l Workshop Wireless and Mobile Technologies in Education (WMTE), 2005.
[89] A. Ramchandran, “Personal Science Assistant—A Handheld PDA Using RFID Tags for Child Visitors to the Childrens Garden Designed to Teach Children Introductory Plant Biology,” master's thesis, Michigan State Univ., 2004.
[90] 1110/11/, 2008.
[91] Museum index.html, 2008.
[92] , 2008.
[93] 1540/11/, 2008.
[94] http://www.ambientlearning.netambient/, 2008.
[95] A. Kurti, D. Spikol, M. Milrad, M. Svensson, and O. Pettersson, “Exploring How Pervasive Computing Can Support Situated Learning,” Pervasive Learning, 2007.
[96] G. Hwang, “Criteria and Strategies of Ubiquitous Learning,” Proc. IEEE Int'l Conf. Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC '06), June 2006.
[97] B. Kölmel, Ambient Learning Final Report, http:/, 2008.
[98] J. Ridgway, S. McCusker, and D. Pead, “Literature Review of e-Assessment,” Report 10: FutureLab series, 2007.
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