Context-aware adaptive and personalized mobile learning delivery supported by UoLmP

Journal of King Saud University - Computer and Information Sciences

Volumn 26, Issue 1, 2014, Pages 47-61

  Gómez, Sergio ^a   Zervas, Panagiotis ^b,c   Sampson, Demetrios G ^b,c   Fabregat, Ramón ^a  

^a UNIVERSITY OF GIRONA   (Spain)

^b UNIVERSITY OF PIRAEUS   (Greece)

^c INFORMATION TECHNOLOGIES INSTITUTE   (Greece)

Author keywords

Adaptation rules; Adaptive and personalized learning; Context aware; Context aware system; IMS Learning Design; Mobile learning

Indexed keywords

EID: 85006097749     PISSN: 13191578     EISSN: 22131248     Source Type: Journal    
DOI: 10.1016/j.jksuci.2013.10.008     Document Type: Article

References (70)

1. Martins, A., Faria, L., Carvalho, C., Carrapatoso, E., User modeling in adaptive hypermedia educational systems. Educational Technology & Society 11:1 (2008), 194–207.
2. Brusilovsky, P., Millán, E., User models for adaptive hypermedia and adaptive educational systems. Brusilovsky, P., Kobsa, A., Nejdl, W., (eds.) The Adaptive Web: Methods and Strategies of Web Personalization, 2007, Springer Verlag, Berlin Heidelberg New York.
3. Tseng, C.R., Chu, H.C., Hwang, G.J., Tsai, C.C., Development of an adaptive learning system with two sources of personalization information. Computers & Education 51:2 (2008), 776–786.
4. Brusilovsky, P., Henze, N., Open corpus adaptive educational hypermedia. Brusilovsky, P., Kobsa, A., Nejdl, W., (eds.) The Adaptive Web: Methods and Strategies of Web Personalization, 2007, Springer Verlag, Berlin Heidelberg New York.
5. Mascolo, C., The power of mobile computing in a social era. IEEE Internet Computing 14:6 (2010), 76–79.
6. Satyanarayanan, M., 2010. Mobile computing: the next decade. In: Proc. 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond (MCS ’10), pp. 5:1–5:6.
7. Jeng, Y.-L., Wu, T.-T., Huang, Y.-M., Tan, Q., Yang, S.J.H., The add-on impact of mobile applications in learning strategies: a review study. Educational Technology & Society 13:3 (2010), 3–11.
8. Liu, G.Z., Hwang, G.J., A key step to understanding paradigm shifts in e-learning: towards context-aware ubiquitous learning. British Journal of Educational Technology 40:6 (2009), E1–E9.
9. Hwang, G.J., Tsai, C.C., Yang, S.J.H., Criteria, strategies and research issues of context-aware ubiquitous learning. Educational Technology & Society 11:2 (2008), 81–91.
10. Gómez, S., Zervas, P., Sampson, D., Fabregat, R., 2012. Delivering adaptive and context-aware educational scenarios via mobile devices. In: Proc. 12th IEEE International Conference on Advanced Learning Technologies (ICALT 2012), pp. 197–201.
11. Sharples, M., Roschelle, J., Guest editorial: special issue on mobile and ubiquitous technologies for learning. IEEE Transactions on Learning Technologies 3:1 (2010), 4–5.
12. Traxler, J., Current state of mobile learning. Ally, M., (eds.) Mobile Learning: Transforming the Delivery of Education and Training, 2009, Athabasca University Press, Edmonton, 9–24.
13. Lam, J., Yau, J., Cheung, S., 2010. A review of mobile learning in the mobile age. In: Proc. 3rd International Conference on Hybrid Learning, Lecture Notes in Computer Science Springer, Berlin, vol. 6248, pp. 306–315.
14. Wu, S., Chang, A., Chang, M., Liu, T.C., Heh, J. S., 2008. Identifying personalized context-aware knowledge structure for individual user in ubiquitous learning environment. In: Proc. 5th International Conference on Wireless, Mobile and Ubiquitous Technologies in Education (WMUTE 2008), pp. 95–99.
15. Martin, E., Carro, R.M., Supporting the development of mobile adaptive learning environments: a case study. IEEE Transactions on Learning Technologies 2:1 (2009), 23–36, 10.1109/TLT.2008.24.
16. Graf, S., Kinshuk, 2008. Adaptivity and personalization in ubiquitous learning systems. In: Proc. Symposium on Usability and Human Computer Interaction for Education and Work (USAB 2008), pp. 331–338.
17. Das, M.M., Chithralekha, T., SivaSathya, S., Static context model for context-aware e-learning. International Journal of Engineering Science and Technology 2:6 (2010), 2337–2346.
18. Economides, A.A., Adaptive context-aware pervasive and ubiquitous learning. International Journal of Technology Enhanced Learning 1:3 (2009), 169–192.
19. Hong, M., Cho, D., Ontology context model for context-aware learning service in ubiquitous learning environments. International Journal of Computers 2:3 (2008), 172–178.
20. Dey, A.K., Understanding and using context. Personal and Ubiquitous Computing 5:1 (2001), 4–7.
21. Luckin, R., Re-designing Learning Contexts: Technology-rich, Learner-centred Ecologies. 2010, Routledge, London.
22. Zervas, P., Gómez, S., Fabregat, R., Sampson, D., 2011. Tools for context-aware learning design and mobile delivery. In: Proc. 11th IEEE International Conference on Advanced Learning Technologies (ICALT 2011), pp. 534–535.
23. Siadaty, M., Torniai, C., Gašević, D., Jovanovic, J., Eap, T., Hatala, M., 2008. m-LOCO: An ontology-based framework for context-aware mobile learning. In: Proc. Sixth International Workshop on Ontologies and Semantic Web for E-Learning.
24. Christopoulou, E., 2008. Context as a necessity in mobile applications. In: Klinger, K. (Ed.), User Interface Design and Evaluation for Mobile Technology, pp. 187–204, 2008.
25. Koper, R., Olivier, B., Representing the learning design of units of learning. Educational Technology Society 7:3 (2004), 97–111.
26. Li, Q., Zhong, S., Wang, P., Guo, X., Quan, X., Learner model in adaptive learning system. Journal of Information & Computational Science 7:5 (2010), 1137–1145.
27. Brown, E., Brailsford, T., Fisher, T., Moore, A., Evaluating learning style personalization in adaptive systems: quantitative methods and approaches. IEEE Transactions on Learning Technologies 2:1 (2009), 10–22, 10.1109/TLT.2009.11.
28. Ogata, H., Akamatsu, R., Yano, Y., TANGO: computer supported vocabulary learning with RFID tags. Journal of Japanese Society for Information and Systems in Education 22:1 (2005), 30–35.
29. Paredes, R.G.J., Ogata, H., Saito, N.A., Yin, C., Yano, Y., Oishi, Y., Ueda, T., 2005. LOCH: supporting informal language learning outside the classroom with handhelds. In: Proc. IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE ‘05), pp. 182–186.
30. Al-Mekhlafi, K., Hu, X., Zheng, Z., 2009. An approach to context-aware mobile Chinese language learning for foreign students. In: Proc. Eighth International Conference on Mobile Business (ICMB 2009), pp. 340–346.
31. Liu, T.-Y., A context-aware ubiquitous learning environment for language listening and speaking. Journal of Computer Assisted Learning 25:6 (2009), 515–527.
32. Yin, C., Ogata, H., Tabata, Y., Yano, Y., JAPELAS2: supporting the acquisition of Japanese polite expressions in context-aware ubiquitous learning, mobile and ubiquitous technologies for language learning. International Journal of Mobile Learning and Organisation 4:2 (2010), 214–234.
33. Hwang, G.-J., Tsai, C.-C., Yang, S.J.H., Criteria, strategies and research issues of context-aware ubiquitous learning. Educational Technology & Society 11:2 (2008), 81–91.
34. Hwang, G.-J., Chu, H.-C., Lin, Y.-S., Tsai, C.-C., A knowledge acquisition approach to developing Mindtools for organizing and sharing differentiating knowledge in a ubiquitous learning environment. Computers & Education 57:1 (2011), 1368–1377.
35. Chiou, C.-K., Tseng, J.C.R., Hwang, G.-J., Heller, S., An adaptive navigation support system for conducting context-aware ubiquitous learning in museums. Computers & Education 55:2 (2010), 834–845.
36. Chiou, C.-K., Tseng, J.C.R., 2012. Design of a personalized navigation support system for context-aware ubiquitous learning environment. In: Proc. RecSys workshop on Personalizing the local mobile experience, LocalPeMA 2012, pp. 1–6.
37. Hwang, G.-J., Kuo, F.-R., Yin, P.-Y., Chuang, K.-H., A heuristic algorithm for planning personalized learning paths for context-aware ubiquitous learning. Computers & Education 54:2 (2010), 404–415.
38. Tan, Q., Kinshuk, Kuo, Y.-H., Jeng, Y.- L., Wu, P.-H., Huang, Y.-M., 2009. Location-based adaptive mobile learning research framework and topics. In: Proc. 12th IEEE International Conference on Computational Science and, Engineering (CSE-09), pp. 140–147.
39. Hwang, G.-J., Yang, T.-C., Tsai, C.-C., Yang, S.J.H., A context-aware ubiquitous learning environment for conducting complex science experiments. Computers & Education 53:2 (2009), 402–413.
40. Wang, S.-L., Wu, C.-Y., Application of context-aware and personalized recommendation to implement an adaptive ubiquitous learning system. Expert Systems with Applications 38:9 (2011), 10831–10838.
41. Martin, S., Sancristobal, E., Gil, R., Castro, M., Peire, J., Mobility through location-based services at university. International Journal of Interactive Mobile Technologies (iJIM) 2:3 (2008), 34–40.
42. El-Bishouty, M.M., Ogata, H., Yano, Y., PERKAM: personalized knowledge awareness map for computer supported ubiquitous learning. Educational Technology & Society 10:3 (2007), 122–134.
43. El-Bishouty, M.M., Ogata, H., Rahman, S., Yano, Y., Social knowledge awareness map for computer supported ubiquitous learning environment. Educational Technology & Society 13:4 (2010), 27–37.
44. Economides, A.A., Culture-aware collaborative learning. Multicultural Education and Technology Journal 2:4 (2008), 243–267.
45. Byun, H.E., Cheverst, K., Utilizing context history to provide dynamic adaptations. Journal of Applied Artificial Intelligence 18:6 (2004), 533–548.
46. Kukulska-Hulme, A., Shield, L., An overview of mobile assisted language learning: from content delivery to supported collaboration and interaction. Journal of the European Association for Computer Assisted Language Learning (ReCALL) 20:3 (2008), 271–289.
47. Cui, Y., Bull, S., Context and learner modelling for the mobile foreign language learner. System 33:2 (2005), 353–367.
48. Ogata, H., Yin, C., Paredes, R.G., Nobuji, J., Saito, N.A., Yano, Y., Oishi, Y., Ueda, T., 2006. Supporting mobile language learning outside classrooms. In: Proc. 6th IEEE International Conference on Advanced Learning Technologies (ICALT 2006), pp. 928–932.
49. Lai, C.-H., Yang, J.-C., Chen, F.-C., Ho, C.-W., Chan, T.-W., Affordances of mobile technology for experiential learning: the interplay of technology and pedagogical practices. Journal of Computer-Assisted Learning 23:4 (2007), 326–337.
50. Dyson, L., Litchfield, A., Lawrence, E., Raban, R., Leijfdekkers, P., Advancing the m-learning research agenda for active, experiential learning: Four case studies. Australasian Journal of Educational Technology 25:2 (2009), 250–267.
51. Kolb, D.A., Experiential learning: experience as the source of learning and development. 1984, Prentice-Hall, Englewood Cliffs, NJ.
52. Pimentel, J.R., Design of net-learning systems based on experiential learning. Journal of Asynchronous Learning Network 3:2 (1999), 64–90.
53. Ally, M., Using learning theories to design instruction for mobile learning devices. Attewell, J., Savill-Smith, C., (eds.) Mobile Learning Anytime Everywhere, 2005, Seiten, London, 5–8.
54. Kukulska-Hulme, A., Will mobile learning change language learning?. Journal of the European Association for Computer Assisted Language Learning (ReCALL) 21:2 (2009), 157–165.
55. Boyle, T., Ravenscroft, A., Context and deep learning design. Computers & Education 59:4 (2012), 1224–1233.
56. Burstein, F., Brézillon, P., Zaslavsky, A., Introducing context into decision support on the move. Burstein, F., Brézillon, P., Zaslavsky, A., (eds.) Supporting Real Time Decision-Making: The Role of Context in Decision Support on the Move, 2011, Springer, 33–39.
57. Conole, G., Fill, K., A learning design toolkit to create pedagogically effective learning activities. Journal of Interactive Multimedia Education, 8, 2005.
58. World Wide Web Consortium, “Mobile Web Best Practices. W3C (W3C-MBP),” http://www.w3.org/TR/mobile-bp/, 2008.
59. ScientiaMobile, Inc, “Wireless Universal Resource File (WURFL),” http://wurfl.sourceforge.net/, 2008.
60. Arai, K., Tolle, H., Module based content adaptation of composite e-learning content for delivering to mobile learners. International Journal of Computer Theory and Engineering 3:3 (2011), 382–387.
61. Al-Hmouz, A., Freeman, A., 2010. Learning on location: An adaptive mobile learning content framework. In: Proc. IEEE International Symposium on Technology and Society (ISTAS), pp. 450–456.
62. Bhaskar, N.U., Govindarajulu, P., Essential aspects of learning content development in context aware and adaptive mobile learning applications. International Journal of Computer Science and Network Security 9:1 (2009), 339–346.
63. Su, J.-M., Tseng, S.-S., Chen, C.-H., Lin, H.-Y., A personalized learning content adaption mechanism to meet diverse user needs in mobile learning environments. International Journal, User Modeling and User-Adapted Interaction 21:1-2 (2011), 5–49.
64. Madjarov, I., Boucelma, O., 2010. Learning content adaptation for m-Learning systems: a multimodality approach. In: Proc. ninth International Conference on Web-based Learning (ICWL 2010), pp. 190–199.
65. Zhao, X., Anma, F., Ninomiya, T., Okamoto, T., Personalized adaptive content system for context-aware mobile learning. International Journal of Computer Science and Network Security 8:8 (2008), 153–161.
66. IMS Global Learning Consortium, “IMS Learning Design Specification (IMS LD) Version 1.0 Final Specification,” http://www.imsglobal.org/learningdesign/, 2003.
67. Koper, R., Burgos, D., Developing advanced units of learning using IMS Learning Design level B. International Journal on Advanced Technology for Learning 2:3 (2005), 252–259.
68. Gómez, S., Fabregat, R., Context-aware and adaptive units of learning in mLearning. International Journal of Handheld Computing Research (IJHCR) 3:2 (2012), 1–25.
69. Lonsdale, P., Baber, C., Sharples, M., 2004. A context awareness architecture for facilitating mobile learning. In: Attewell, J., Savill-Smith, C. (Eds.), Learning with Mobile Devices: Research and Development, London: Learning and Skills Development Agency, pp. 79–85.
70. Nunnaly, J., Psychometric Theory. 1978, McGraw-Hill, New York.