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Personalised e-learning through an educational virtual reality game using Web services

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Abstract

This paper describes how a personalised educational game architecture has been used in conjunction with Web services to provide remote access to the system. The educational game is a virtual reality adventure game that performs affective user modelling by measuring emotional characteristics of users. Virtual reality (VR) games are so popular among children and adolescents that can be used for the purposes of educational software to render it more attractive and motivating. The benefits of such an application can be maximised if it is available over the Web. Software applications that operate over the Web are targeted to a wide range of users. Hence they need a high degree of adaptivity and dynamic individualisation to each user that interacts with the application. This should include the students’ emotional state that affects their learning. However, the environment of a Web-based VR-game that performs user modelling is so demanding that the technology of Web services is necessary for its effective operation and interoperability. Moreover, reusability may be achieved for the user modelling component.

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References

  1. Adamatti DF, Bazzan AL (2002) A framework for simulation of agents with emotions. http://www.inf.ufrgs.br/~adamatti/pag/ingles/Workcomp02.pdf

  2. Alpert SR, Singley MK, Fairweather PG (1999) Deploying intelligent tutors on the Web: an architecture and an example. Int J Art Intell Educ 10:183–197

    Google Scholar 

  3. Ames A, Nadeau D, Moreland J. VRML 2.0 sourcebook, 2nd edition

  4. Amory A, Naicker K, Vincent J, Claudia A (1998) Computer games as a learning resource. Proceedings of ED-MEDIA, ED-TELECOM 98, World Conference on Education Multimedia and Educational Telecommunications, 1, pp 50–55

  5. Aroyo L, Kommers P (1999) Special issue preface-intelligent agents for educational computer-aided systems. J Interact Learn Res 10(3/4):235–242

    Google Scholar 

  6. Belkada S, Cristea AI, Okamoto T (2001) Measuring knowledge transfer skills by using constrained-student modeler autonomous agent. Proceedings of the IEEE international conference on advanced learning technologies (ICALT 2001), IEEE computer society, pp 375–378

  7. Box D, Ehnebuske D, Kakivaya G, Layman A, Mendelsohn N, Nielsen H, Thatte S, Winer D (2000) Simple Object Access Protocol (SOAP) 1.1. W3C Note, May, http://www.w3.org/TR/SOAP

  8. Brusilovsky P (1999) Adaptive and intelligent technologies for Web-based education. In: Rollinger C, Peylo C (eds) Künstliche Intelligenz (4), Special issue on intelligent systems and teleteaching, 19–25, http://www2.sis.pitt.edu/~peterb/papers/KI-review.html

  9. Chou C (1999) Developing CLUE: a formative evaluation system for computer network learning courseware. J Interact Learn Res 10(2): 179–193

    Google Scholar 

  10. Chover M, Belmonte Ó, Remolar I, Quirós R, Ribelles J (2002) Web-based virtual environments for teaching. Proceedings of the eurographics/ACM SIGGRAPH workshop on computer graphics education

  11. Christensen E, Curbera F, Meredith G, Weerawarana S (eds) (2001) Web Services Description Language (WSDL) 1.1. W3C Note, March, http://www.w3.org/2001/NOTE-wsdl-20010315

  12. Ciganek A, Haines M, Haseman W (2005) Challenges of adopting Web services: experiences from the financial industry. In: Proceedings of the 38th Hawaii international conference on system sciences (HICSS’05), January 03–06, Big Island, Hawaii

  13. Conati C, Zhou X (2002) Modeling students’ emotions from cognitive appraisal in educational games. In: Cerri SA, Gouarderes G, Paraguacu F (eds) Intelligent tutoring systems 2002, LNCS, 2363, Springer, Berlin, pp 944–954

    Google Scholar 

  14. Cumming G, McDougall A (2000) Mainstreaming AIED into education? Int J Artif Intell Educ 11:197–207

    Google Scholar 

  15. Curbera F, Nagy W, Weerawarana S (2001) Web services: why and how’. In: Workshop on object-oriented Web services OOPSLA, October 2001, Tampa, Florida, USA

  16. De Vincente A, Pain H (2002) Informing the detection of the students’ motivational state: an empirical study. In: Cerri SA, Gouarderes G, Paraguacu F (eds) Intelligent tutoring systems 2002, LNCS 2363, Springer, pp 933–943

  17. Devedzic V (2001) A pattern language for architectures of intelligent tutors. In: Proceedings of the international conference on artificial intelligence AIED 2001, San Antonio, Texas, pp 542–544

  18. Elliott C, Rickel J, Lester J (1999) Lifelike pedagogical agents and affective computing: an exploratory synthesis. In: Wooldridge M, Veloso M (eds) Artificial intelligence today. Lecture notes in computer science, vol 1600. Springer, Berlin, pp 195–212

  19. Goleman D (1995) Emotional intelligence. Bantam Books, New York

    Google Scholar 

  20. Haas H, Brown A (2004) Web services glossary. http://www.w3.org/TR/2004/NOTE-ws-gloss-20040211/

  21. Hartley D, Mitrovic A (2002) Supporting learning by opening the student model. In: Cerri SA, Gouarderes G, Paraguacu F (eds) ITS 2002, LNCS 2363, Springer, Berlin pp 453–462

  22. Hudlicka E, McNeese D (2002) Assessment of user affective and belief states for interface adaptation: application to an Air Force pilot task. User Modeling and User-Adapted Interaction 12(1):1–47

    Article  MATH  Google Scholar 

  23. IBM White Paper (2000) The IBM WebSphere software platform and patterns for e-business invaluable tools for IT architects of the new economy

  24. IBM: The Web services (r)evolution, Part 1, http://www106.ibm.com/developeworks/webservices/library/ws-peerl.html

  25. Id Software (1993) Doom-virtual reality computer game, Id Software Company, Texas

  26. Inkpen K, Upitis R, Klawe M, Lawry J, Anderson A, Mutindi N, Sedighian K, Leroux S, Hsu D (1994) We have never-forgetful flowers in our garden: girl’s responses to electronic games. J Comput Math Sci Teach 13(4):383–403

    Google Scholar 

  27. Johnson WL, Rickel JW, Lester JC (2000) Animated pedagogical agents: face-to-face interaction in interactive learning environments. Int J Artif Intell Educ 11:47–78

    Google Scholar 

  28. Kay J (2000) Accretion representation for scrutable student modeling. Proceedings of ITS 2000, pp 514–523

  29. Lopez JM, Millan E, Perez-de-la-Cruz JL, Triguero F (1998) ILESA: a Web-based intelligent learning environment for the simplex algorithm. In: Alvegard C (ed) Proceedings of CALISCE’98, 4th international conference on computer aided learning and instruction in science and engineering, pp 399–406

  30. Microsoft White Paper (2000) A blueprint for building Web sites using the microsoft windows DNA platform

  31. Mizoguchi R, Bourdeau J (2000) Using ontological engineering to overcome common AI-ED problems. Int J Artif Intell Educ 11(2):107–121

    Google Scholar 

  32. Mc Calla G, Vassileva J, Greer J, Bull S (2000) Active learner modelling. Proceedings of ITS 2000, pp 53–62

  33. Okazaki Y, Watanabe K, Kondo H (1996) An implementation of an intelligent tutoring system on the World-Wide Web. Journal of Education Technology Research 19(1):35–44

    Google Scholar 

  34. O’Riordan C, Griffith J (1999) A multi-agent system for intelligent online education. J Interact Learn Res 10(3/4):263–274

    Google Scholar 

  35. Ortony A, Clore GL, Collins A (1988) The cognitive structure of Emotions. Cambridge University Press, Cambridge, UK

    Google Scholar 

  36. Papert S (1993) The children’s machine: rethinking school in the age of the computers. Basic Books, New York

    Google Scholar 

  37. Picard RW (1998) Affective computing. MIT Press, Cambridge, MA

    Google Scholar 

  38. Pires PF, Benevides M, Mattoso M (2002) Building reliable Web services compositions. Net.Object Days-WS-RSD’02, pp 551–562

  39. Pullen M, Brunton R, Brutzman D, Drake D, Hieb M, Morse K, Tolk A (2005) Using Web services to integrate heterogeneous simulations in a grid environment. Proceedings of the international conference on computational science, Krakow, Poland, June 2004

  40. Stathopoulou IO, Tsihrintzis GA (2006) Facial expression classification: specifying requirements for an automated system. In: Gabrys B, Howlett RJ, Jain LC (eds) Knowledge-based intelligent information and engineering systems, 10th international conference, KES 2006, Bournemouth, UK, October 9–11, 2006, proceedings, part II. Lecture notes in computer science, vol 4252, Springer, Berlin, pp 1128–1135

  41. Torres J, Dodero J, Padron C (2004) A framework based on Web services composition for the adaptability of complex and dynamic learning processes. In: Learning technology newsletter, vol 6, issue 1, January

  42. Tsalgatidou A, Pilioura T (2002) An overview of standards and related technology in Web services. Distributed and Parallel Databases 12:135–162

    Article  MATH  Google Scholar 

  43. Universal Description, Discovery and Integration (UDDI) Version 2.0 Specification, June 2001, http://uddi.org/specification.html

  44. Vicari RM (2002) ITS, agents, BDI and affection: trying to make a plan come together. In: Cerri SA, Gouarderes G, Paraguacu F (eds) ITS 2002, LNCS 2363, Springer, Berlin, pp 8–9

  45. Virvou M, Kabassi K (2000) An empirical study concerning graphical user interfaces that manipulate files. Proceedings of ED-MEDIA 2000. World conference on educational multimedia, hypermedia & telecommunications, AACE, Charlottesville, VA, pp 1724–1726

  46. Virvou M, Kabassi K (2002) A multi-agent system for intelligent assistance in a GUI. In: Proceedings of the 3rd international NAISO symposium on engineering of intelligent systems, NAISO. Academic, Canada

  47. Virvou M, Katsionis G (2003) VIRGE: tutoring english over the Web through a game. In: Proceedings of the IEEE international conference on advanced learning technologies (ICALT 2003, Greece, Athens)

  48. Voelker D (2001) Statistics. Wiley, New York

    Google Scholar 

  49. Warrick PA, Funnell WRJ (1998) A VRML-based anatomical visualisation tool for medical education. Inf Technol Biomed 2:55–61

    Article  Google Scholar 

  50. Chen W (2002) Web services—what do they mean to Web-based education? In proceedings of the international conference on computers in education (ICCE’02), December, 2002, Auckland, New Zealand

  51. Wen L, Jesshope C (2003) Web services technology and learning technology—a Web-services model for constructing virtual learning environments. In the first international conference on Web services (ICWS’03), Las Vegas, NV, USA

  52. Xu Z, Yin Z, El Saddik A (2003) A Web services oriented framework for dynamic e-learning systems.’ In Systems CCECE 2003–CCGEI 2003, Montreal, May 2003

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Katsionis, G., Virvou, M. Personalised e-learning through an educational virtual reality game using Web services. Multimed Tools Appl 39, 47–71 (2008). https://doi.org/10.1007/s11042-007-0155-2

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