Skip to main content
SpringerLink
Log in

Personalisation of Learning Process in Intelligent Tutoring Systems Using Behavioural Measures

  • Conference paper
  • First Online:
Multimedia and Network Information Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 506))

Abstract

The main goal of an intelligent tutoring system is to provide learning materials suitable for students’ needs and preferences. Observations and analysis of students’ behaviour and interactions with the intelligent tutoring system are crucial to determine and, if necessary, modify the learning scenario. A properly designed user’s model influences the effectiveness of those methods and, in consequence, the whole learning process. This paper is devoted to propose a content of the student’s profile that includes behavioural measures.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bajrakrarevic, N., Hall, W., Fullick, P.: Incorporating learning styles in hypermedia environment: empirical evaluation (2003). http://wwwis.win.tue.nl/ah2003/proceedings/paper4.pdf. Accessed 13.05.2016

  2. Calviv, C., Porta, M., Sacchi, D.: e5Learning, an e-learning environment based on eye tracking. In: Proceedings of the 8th IEEE International Conference on Advanced Learning Technologies (ICALT 2008), pp. 376–380. Santander, Spain. Accessed 1–5 July 2008,

    Google Scholar 

  3. Chen, W., Mizoguchi, R.:, Leaner model ontology and leaner model agent. In: Kommers, P. (ed.) Cognitive Support for Learning—Imagining the Unknown, pp. 189–200. IOS Press (2004)

    Google Scholar 

  4. Chynal, P., Sobecki, J., Szymański, J.M.: Remote usability evaluation using eye tracking enhanced with intelligent data analysis. In: Design, User Experience, and Usability. Design Philosophy, Methods, and Tools, pp. 212–221. Springer, Berlin, Heidelberg (2013)

    Google Scholar 

  5. Emotiv EPOC User Manual. Emotiv (2009)

    Google Scholar 

  6. Graff, M.: Cognitive style and hypertext structures. In: Proceedings of the 4th European Learning Styles Conference (1999)

    Google Scholar 

  7. Grigoriadou, M., Papanikolaou, K., Kornilakis, H., Magoulas, G.: (2001), INSPIRE: An INtelligent System for Personalized Instruction in a Remote Environment. In: Lecture Notes In Computer Science, vol. 2266, pp. 215–225 (2001)

    Google Scholar 

  8. Gunes, H.: Automatic, dimensional and continuous emotion recognition (2010)

    Google Scholar 

  9. Gütl, C., Pivec, M., Trummer, C., García-Barrios, V.M., Mödritscher, F., Pripfl, J., Umgeher, M.: AdELE: a framework for Adaptive E-Learning through Eye Tracking. In: Proceedings of IKNOW (2004)

    Google Scholar 

  10. Harrison, T.: The Emotiv mind: investigating the accuracy of the Emotiv EPOC in identifying emotions and its use in an Intelligent Tutoring System (2013)

    Google Scholar 

  11. ILS Questionnaire. https://www.engr.ncsu.edu/learningstyles/ilsweb.html. Accessed 13 May 2016

  12. Kobsa, A., Koenemann, J., Wolfgang, P.: Personalized hypermedia presentation techniques for improving online customer relationships. Knowl. Eng. Rev. 16(2), 111–155 (2001)

    Google Scholar 

  13. Kozierkiewicz-Hetmańska, A.: Effectiveness of intelligent tutoring system offering personalized learning scenario. In: LNCS, vol. 7196, pp. 310–319 (2012)

    Google Scholar 

  14. Kozierkiewicz, A.: Content and structure of learner profile in an intelligent E-learning system, In: Knowledge Processing and Reasoning for Information Society, EXIT Warsaw, pp. 101–116 (2008)

    Google Scholar 

  15. Kozierkiewicz-Hetmańska, A., Nguyen, N.T.: A framework for building intelligent tutoring systems, In: Nguyen, N.T., Van Do, T., Le Thi, H.A. (eds.): Advanced Computational Methods for Knowledge Engineering. Studies in Computational Intelligence, vol. 479, s. 251–265. Springer, Heidelberg [i in.] (2013). ISSN 1860-949X

    Google Scholar 

  16. Kukla, E., Nguyen, N.T., Daniłowicz, C., Sobecki, J., Lenar, M.: A model conception for optimal scenario determination in an intelligent learning system. In: ITSE—Int. J. Interact. Technol. Smart Educ. 1(3), 171–184 (2004)

    Google Scholar 

  17. Martini, F., Bartholomew, E.: Essentials of Anatomy & Physiology, s. 267. Benjamin Cummings, San Francisco (2003)

    Google Scholar 

  18. Maziarz, M., Piasecki, M., Szpakowicz, S.: Approaching plWordNet 2.0. In: Proceedings of the 6th Global Wordnet Conference. Matsue, Japan. Accessed 9–13 Jan 2012

    Google Scholar 

  19. Pask, G.: Styles and strategies of learning. Br. J. Educ. Psychol. No. 46, str. 128–148 (1976)

    Google Scholar 

  20. Pavlidis, I., Levine, J.: Thermal image analysis for polygraph testing. Eng. Med. Biol. Mag. IEEE 21(6), 56–64 (2002)

    Article  Google Scholar 

  21. Porta, M., Ricotti, S., Perez, C.J.: Emotional e-learning through eye tracking. In: Global Engineering Education Conference (EDUCON), pp. 1–6. IEEE. doi:10.1109/EDUCON.2012.6201145. Accessed 17–20 Apr 2012

  22. Puri, C., Olson, L., Pavlidis, I., Levine, J., Starren, J.: StressCam: non-contact measurement of users’ emotional states through thermal imaging. In: CHI’05 Extended Abstracts on Human Factors in Computing Systems, pp. 1725–1728. ACM, Apr 2005

    Google Scholar 

  23. Rimm-Kaufman, S.E., Kagan, J.: The psychological significance of changes in skin temperature. Motiv. Emot. 20(1), 63–78 (1996)

    Article  Google Scholar 

  24. Salazar-López, E., Domínguez, E., Ramos, V.J., de la Fuente, J., Meins, A., Iborra, O., Gómez-Milán, E.: The mental and subjective skin: emotion, empathy, feelings and thermography. Conscious. Cogn. 34, 149–162 (2015)

    Google Scholar 

  25. Schwartz, B.E.: The advantages of digital over analog recording techniques. Electroencephalogr. Clin. Neurophysiol. 106(2), 113–1117 (1998)

    Article  Google Scholar 

  26. Sikka, R., Dhankhar, A., Rana, C.: A survey paper on e-learning recommender system. Int. J. Comput. Appl. 47(9), 27–30 (2012)

    Google Scholar 

  27. Tian, F., Zheng, Q., Gong, Z., Du, J., Li, R.: Personalized learning strategies in an intelligent e-learning environment. In: Proceedings of the 2007 11th International Conference on Computer Supported Cooperative Work in Design (2007)

    Google Scholar 

  28. Tuaksubun, Ch., Mungsing, S.: Design of an intelligent tutoring system that comprises individual learning and collaborative problem-solving modules. In: Special Issue of the International Journal of the Computer, the Internet and Management, vol. 15, No. SP3 (2007)

    Google Scholar 

  29. Venkatesh, R., Naganathan, E.R., Uma Maheswari, N.: Intelligent tutoring system using hybrid expert system with speech model in neural networks. Int. J. Comput. Theory Eng. 2(1), 1793–8201 (2010)

    Google Scholar 

  30. Wald, M., Wills, G., Millard, D., Gilbert, L., Khoja, S., Kajaba, J., Li, Y., Singh P.: Enhancing Learning using Synchronised Multimedia Annotation, Eunis (2009)

    Google Scholar 

  31. Yeaxlee, B.A.: Lifelong Education. Cassell, London (1929)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Wrocław University of Science and Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Piotr Chynał, Adrianna Kozierkiewicz-Hetmańska & Marcin Pietranik

Authors
  1. Piotr Chynał
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Adrianna Kozierkiewicz-Hetmańska
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marcin Pietranik
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Piotr Chynał , Adrianna Kozierkiewicz-Hetmańska or Marcin Pietranik .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wroclaw, Poland

    Aleksander Zgrzywa

  2. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Kazimierz Choroś

  3. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Andrzej Siemiński

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this paper

Cite this paper

Chynał, P., Kozierkiewicz-Hetmańska, A., Pietranik, M. (2017). Personalisation of Learning Process in Intelligent Tutoring Systems Using Behavioural Measures. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) Multimedia and Network Information Systems. Advances in Intelligent Systems and Computing, vol 506. Springer, Cham. https://doi.org/10.1007/978-3-319-43982-2_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-43982-2_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43981-5

  • Online ISBN: 978-3-319-43982-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation