Skip to main content
Springer Nature Link
Log in

Intelligent and Interactive Web-Based Tutoring System in Engineering Education: Reviews, Perspectives and Development

  • Chapter
Computational Intelligence for Technology Enhanced Learning

Part of the book series: Studies in Computational Intelligence ((SCI,volume 273))

Abstract

Due to the rapid growth of the use of computers and increasing use of the Internet in education a large number of Web-based educational applications have been developed and implemented. However, very few of them are pedagogically intelligent and interactive for learning purposes. The Web-based intelligent learning has become more effective in the past decade due to increasing use of the Internet in education. A literature search indicates that there is a lack of relevant comprehensive research concerning the efficiency of computer-assisted instructions used in engineering education. The main focus of the research described in this chapter is on the comprehensive review of design and development of the Web-based authoring tool for an Intelligent Tutoring System in engineering education. The chapter outlines and discusses important issues of the development of Intelligent Tutoring System (ITS) in engineering education with an example of the development of a Web-Based Computer-Assisted Tutorials and Laboratory Procedures (WCALP).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Aberek, B., Popov, V.: Intelligent tutoring system for training in design and manufacturing. Advances in Engineering Software 35(7), 461–471 (2004)

    Article  Google Scholar 

  2. Albacete, P.L., VanLehn, K.: The conceptual helper: an intelligent tutoring system for teaching fundamental physics concepts. In: Gauthier, G., VanLehn, K., Frasson, C. (eds.) ITS 2000. LNCS, vol. 1839, pp. 564–573. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  3. Atkinson, R.C., Wilson, H.A. (eds.): Computer-Assisted Instructions. Academic Press, New York (1969)

    Google Scholar 

  4. Barretto, S.F.A., Piazzalunga, R., Ribeiro, V.G., Dalla, M.B.C., Filho, R.M.L.: Combining interactivity and improvement layout while creating educational software for the Web. Computers and Education 40(3), 271–284 (2003)

    Article  Google Scholar 

  5. Berntzen, R., Strandman, J.O., Fjeldly, T.A., Shur, M.S.: Advanced solutions for performing real experiments over the Internet. In: International Conference on Engineering Education, Oslo, Norway (2001), http://www.ineer.org/Events/ICEE2001/Proceedings/Index.htm (Retrieved November 18, 2003)

  6. Boulay, B.d.: What does the “AI” in AIED buy? In: Colloquium on Artificial Intelligence in Educational Software, IEE Digest No: 98/313, pp. 3/1–3/4 (1998)

    Google Scholar 

  7. Chang, T., Hung, D.: Web-based distance experiments: design and implementation. In: IEEE International Conference on Engineering Education, Taipei, Taiwan (2000), http://www.ineer.org/Events/ICEE2000/Proceedings/papers/WA4-4.pdf

  8. Crowley, R.S., Medvedeva, O.: An intelligent tutoring system for visual classification problem solving. Artificial Intelligence in Medicine 36(1), 85–117 (2006)

    Article  Google Scholar 

  9. Curilem, S.G., Barbosa, A.R., de Azevedo, F.M.: Intelligent tutoring systems: Formalization as automata and interface design using neural networks. In: Computers and Education (2006) (in press), http://dx.doi.org/10.1016/j.compedu.2005.10.005

  10. Dear, B.L.: Artificial Intelligence Techniques: Applications for Courseware Development. In: Expert Systems and Intelligent Computer-Aided Instructions, pp. 91–99. Educational Technology Publications, Englewood Cliffs (1991)

    Google Scholar 

  11. Ertugrul, N.: Towards virtual laboratories: a survey of LabVIEW-based teaching/learning tools and future trends. International Journal of Engineering Education 16 (3), 171–180 (2000)

    Google Scholar 

  12. Fang, Y., Liou, F.W.: Computer simulation of three-dimensional mechanical assemblies: part-i – general formulation. In: 1993 ASME Inter. Computers in Education Conference and Exhibition, pp. 579–587 (1993)

    Google Scholar 

  13. Godwin-Jones, B.: Emerging technologies, dynamic Web page creation. Language, Learning and Technology Journal 1(2), 7–13 (1998), http://polyglot.cal.msu.edu/llt/vol1num2/emerging/default.htm (Retrieved March 12, 2002)

    Google Scholar 

  14. Graham, D.T., McNeil, J., Pettiford, L.: Untangled Web: Developing Teaching on the Internet. Pearson Education, Harlow (2000)

    Google Scholar 

  15. Gwo-Jen Hwang, G.-J.: A conceptual map model for developing intelligent tutoring systems. Computers and Education 40(3), 217–235 (2003)

    Article  Google Scholar 

  16. Han, S.-G., Lee, S.-G., Jo, G.-S.: Case-based tutoring systems for procedural problem solving on the www. Expert Systems with Applications 29(3), 73–582 (2005)

    Article  Google Scholar 

  17. Hativa, N.: Students’ conceptions of, and attitudes toward, specific features of a CAI system. Journal of Computer-Based Instruction 16(3), 81–89 (1989)

    Google Scholar 

  18. Huang, C.-J., Chu, S.-S., Guan, C.-T.: Implementation and performance evaluation of parameter improvement mechanisms for intelligent e-learning systems. Computers and Education (2006) (in press), http://dx.doi.org/10.1016/j.compedu.2005.11.008

  19. Jaques, P.A., Vicari, R.M.: A BDI approach to infer student’s emotions in an intelligent learning environment. Computers and Education (2006) (in press), http://dx.doi.org/10.1016/j.compedu.2005.09.002

  20. Junglas, P.: Using applets for physics education: a case study of non-linear systems and chaos. In: 7th Baltic Region Seminar on Engineering. Education, pp. 61–64 (2003)

    Google Scholar 

  21. Kanflo, T.J., Sagert, P.A.: Teaching the design of manufacturing systems using simulation. European Journal of Engineering Education 19(1), 117–123 (1994)

    Article  Google Scholar 

  22. Kinshuk, Patel, A.: A Conceptual Framework for Internet Based Intelligent Tutoring Systems. In: Behrooz, A. (ed.) Knowledge Transfer, vol. 2, pp. 117–124. pAce, London (1997)

    Google Scholar 

  23. Kulik, C.-L., Kulik, J.A.: Effectiveness of computer-based instruction: an updated analysis. Computers in Human Behaviour 7(1-2), 75–94 (1991)

    Article  Google Scholar 

  24. Larkin, J.H., Chabay, R.W. (eds.): Computer-Assisted Instruction and Intelligent Tutoring Systems: Shared Goals and Complementary Approaches, pp. 151–186. Lawrence Erlbaum & Assoc., Hillsdale (1992)

    Google Scholar 

  25. Murray, T.: Expanding the knowledge acquisition bottleneck for intelligent tutoring systems. International Journal of Artificial Intelligence in Education 8(3) (1997)

    Google Scholar 

  26. Olsen, J.B.: The Four Generations of Computerised Testing: toward Increased Use of AI and Expert Systems. In: Expert Systems and Intelligent Computer-Aided Instructions, pp. 66–71. Educational Technology Publications, Englewood Cliffs (1991)

    Google Scholar 

  27. Ong, J., Ramachandran, S.: Intelligent tutoring systems: the what and the how. Learning Circuits (2000), http://www.learningcircuits.org/feb2000/ (Retrieved June 15, 2003)

  28. Patil, A.S.: Issues in the design and development of Web-based computer-assisted tutorials and laboratory procedures in basic electrical engineering. Unpublished masters dissertation, Monash University, Melbourne (2004)

    Google Scholar 

  29. Pudlowski, Z.J.: Major Issues in Developing Computer-Aided Authoring Programs for Engineering Education. In: Pudlowski, Z.J., et al. (eds.) Computers in Electrical Engineering Education – Research, Development and Application, pp. 23–31. EEERG & USICEE, Melbourne (1995)

    Google Scholar 

  30. Reed, J.A., Afjeh, A.A.: Developing interactive educational software for the World Wide Web with Java. Computers and Education 30(3-4), 183–194 (1998)

    Article  Google Scholar 

  31. Roorda, J., Cartwright, T.: Engineering design simulation: a computer-based teaching environment. European Journal of Engineering Education 19(1), 105–115 (1994)

    Article  Google Scholar 

  32. Schacter, J.: The Impact of Education Technology on Student Achievement: What the Most Current Research has to Say (2003), http://www.mff.org/publications/publications.taf?page=161 (Retrieved October 3, 2003)

  33. Sleeman, D., Brown, J.S.: Intelligent Tutoring Systems. Academic Press, London (1982)

    Google Scholar 

  34. Stathacopoulou, R., Magoulas, G.D., Grigoriadou, M., Samarakou, M.: Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis. Information Sciences 170(2-4, 25), 273–307 (2005)

    Article  Google Scholar 

  35. Surber, J., Leeder, J.: The effect of graphic feedback on students’ motivation. Journal of Computer-Based Education 15(1), 14–17 (1988)

    Google Scholar 

  36. Thomas, E.: Intelligent Tutoring Systems, ITS (2003), http://coe.sdsu.edu/eet/Articles/tutoringsystem/start.htm (Retrieved June 15, 2003)

  37. Toogood, R.W., Wong, D.: An interactive fluid mechanics tutorial using authorware. In: 1993 ASME International Computers in Education Conference and Exhibition, pp. 539–545 (1993)

    Google Scholar 

  38. Veith, T.L., Kobza, J.E., Koelling, C.P.: World Wide Web-based simulations. International Journal of Engineering Education 14(5), 316–321 (1998)

    Google Scholar 

  39. Wankat, P.C., Oreovicz, F.S.: Teaching Engineering. McGraw-Hill, New York (1993)

    Google Scholar 

  40. Wedekind, J.: Computer-Aided Model Building. In: Mandl, H., Lesgold, A. (eds.) Learning Issues for Intelligent Tutoring Systems, pp. 287–294. Springer, New York (1988)

    Google Scholar 

  41. Wilson, B.G., Welsh, J.R.: Small Knowledge-Based Systems in Education and Training: Something New under the Sun. In: Expert Systems and Intelligent Computer-Aided Instruction, vol. 2. Educational Technology Publications, Englewood Cliffs (1991)

    Google Scholar 

  42. Woo, C.-W., Evens, M.W., Freedman, R., Glass, M., Shim, L.-S., Zhang, Y., Zhou, Y., Michael, J.: An intelligent tutoring system that generates a natural language dialogue using dynamic multi-level planning. In: Artificial Intelligence in Medicine (2006) (in press), http://dx.doi.org/10.1016/j.artmed.2005.10.004

  43. Woolf, B.P.: Building knowledge based tutors. In: Tomek, I. (ed.) ICCAL 1992. LNCS, vol. 602, pp. 46–60. Springer, Heidelberg (1992)

    Google Scholar 

  44. Yaakub, M.N.: Effectiveness of Computer-Assisted Instruction in Technical Education: a Meta-Analysis (2001), http://voc.ed.psu.edu/projects/publications/books/Fall%202001/WEF2001.2.html (Retrieved May 12, 2003)

  45. Yang, H., Lu, W.F.: Procase: a prototype of intelligent case-based process planning system with simulation environment. In: 1993 ASME International Computers in Education Conference and Exhibition, pp. 571–577 (1993)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. CQUniversity, Mackay Campus, Australia

    Arun S. Patil

  2. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, P.O. Box 2259, Auburn, Washington, 98071-2259, USA

    Ajith Abraham

Authors
  1. Arun S. Patil
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ajith Abraham
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Languages and Informatics Systems, Polytechnic University of Catalonia, Campus Nord, Ed.Omega, C/Jordi Girona 1-3, 08034, Barcelona, Spain

    Fatos Xhafa

  2. Department of Computer Sciences Multimedia and Telecommunications, Open University of Catalonia, Rbla. Poblenou. 156, 08018, Barcelona, Spain

    Santi Caballé  & Thanasis Daradoumis  & 

  3. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071-2259, Auburn, Washington, USA

    Ajith Abraham

  4. Department of Information Sciences, Open University of Catalonia, Av. Tibidabo 39-43, 08035, Barcelona, Spain

    Angel Alejandro Juan Perez

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Patil, A.S., Abraham, A. (2010). Intelligent and Interactive Web-Based Tutoring System in Engineering Education: Reviews, Perspectives and Development. In: Xhafa, F., Caballé, S., Abraham, A., Daradoumis, T., Juan Perez, A.A. (eds) Computational Intelligence for Technology Enhanced Learning. Studies in Computational Intelligence, vol 273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11224-9_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-11224-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11223-2

  • Online ISBN: 978-3-642-11224-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics