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The Study and Application of Adaptive Learning Method Based on Virtual Reality for Engineering Education

  • Yi LinEmail author
  • Shunbo Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11903)

Abstract

As educational reform efforts continue, a challenge for most adaptive learning software is how to integrate theoretical knowledge with practice, especially in the field of engineering education. Developing an understanding of how to incorporate virtual reality in education to enhance the quality of learning has become a research hotspot in the e-learning field. For this purpose, a novel adaptive virtual reality learning method based on learning styles model is proposed in this paper, then a virtual reality learning system for engineering education is constructed based on the proposed approach. In this method, learning style are categorized via learning style index to predict learning preferences, then differentiated virtual learning environment of engineering education are provided to students according to their individual learning preferences. During the learning process, various types of learning data are recorded and analyzed automatically. Then the prejudged learning preferences are continually adjusted by the learning data when the immersive learning experience is offered to students by the customization of learning scene and teaching material in virtual environment. To adapt to differentiated individuals, the structure and content of virtual learning environment are gradually optimized, with the ultimate goal of equipping the environment to meet an unlimited array of actual student learning needs. Compared with the traditional adaptive learning method based on learning style, a comparison of experimental results shows that the proposed method is more effective in stimulating learner enthusiasm and can greatly improve student academic performance.

Keywords

Engineering education Learning styles model Virtual reality 

Notes

Acknowledgement

Thanks to the funding of China Scholarship Council and their constant supports. Furthermore, I would like to express my gratitude to the consistent and instruction of researchers from Key Laboratory of Digital Fujian IoT Engineering and Applications.

References

  1. 1.
    Tavangarian, D., Leypold, M.E., Nölting, K., Röser, M.: Is e-Learning the solution for individual learning. Electron. J. e-Learn. 2(2), 273–280 (2004)Google Scholar
  2. 2.
    Dos Santos, C.T., Osorio, F.S.: An intelligent and adaptive virtual environment and its application in distance learning. In: Proceedings of the Working Conference on Advanced Visual Interfaces, Gallipoli, Italy, pp. 362–365. Association for Computing Machinery (2004)Google Scholar
  3. 3.
    Ovesleová, H.: E-learning platforms and lacking motivation in students: concept of adaptable UI for online courses. In: Marcus, A. (ed.) DUXU 2015. LNCS, vol. 9188, pp. 218–227. Springer, Cham (2015).  https://doi.org/10.1007/978-3-319-20889-3_21CrossRefGoogle Scholar
  4. 4.
    Vaughan, N., Gabrys, B., Dubey, V.N.: An overview of self-adaptive technologies within virtual reality training. J. Comput. Sci. Rev. 22, 65–87 (2016)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Thalmann, S.: Adaptation criteria for the personalized delivery of learning materials: a multi-stage empirical investigation. Australas. J. Educ. Technol. 30(1), 45–60 (2014)CrossRefGoogle Scholar
  6. 6.
    Truong, H.M.: Integrating learning styles and adaptive e-learning system: current developments, problems and opportunities. J. Comput. Hum. Behav. 55, 1185–1193 (2016)CrossRefGoogle Scholar
  7. 7.
    El-Bishouty, M.M., Aldraiweesh, A.: Use of Felder and Silverman learning style model for online course design. J. Educ. Technol. Res. Dev. 67(1), 161–177 (2019)CrossRefGoogle Scholar
  8. 8.
    Felder, R.M., Silverman, L.K.: Learning and teaching styles in engineering education. J. Eng. Educ. 78(7), 674–681 (1988)Google Scholar
  9. 9.
    Botsios, S., Georgiou, D., Safouris, N.: Contributions to adaptive educational hypermedia systems via on-line learning style estimation. J. Educ. Technol. Soc. 11(2), 322–339 (2008)Google Scholar
  10. 10.
    Scott, E., Rodriguez, G., Soria, A., Campo, M.: Are learning styles useful indicators to discover how students use Scrum for the first time? J. Comput. Hum. Behav. 36, 56–64 (2014)CrossRefGoogle Scholar
  11. 11.
    Graf, S., Kinshuk, Liu, T.-C.: Supporting teachers in identifying students’ learning styles in learning management systems: an automatic student modelling approach. J. Educ. Technol. Soc. 12(4), 3–14 (2009)Google Scholar
  12. 12.
    Alkhuraiji, S., Cheetham, B., Bamasak, O.: Dynamic adaptive mechanism in learning management system based on learning styles. In: Proceedings of the 2011 11th IEEE International Conference on Advanced Learning Technologies, pp. 215–217. IEEE Computer Society (2011)Google Scholar
  13. 13.
    Cha, H.J., Kim, Y.S., Park, S.H., Yoon, T.B., Jung, Y.M., Lee, J.-H.: Learning styles diagnosis based on user interface behaviors for the customization of learning interfaces in an intelligent tutoring system. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 513–524. Springer, Heidelberg (2006).  https://doi.org/10.1007/11774303_51CrossRefGoogle Scholar
  14. 14.
    Dorca, F.A., Lima, L.V., Fernandes, M.A., Lopes, C.R.: Automatic student modeling in adaptive educational systems through probabilistic learning style combinations: a qualitative comparison between two innovative stochastic approaches. J. Braz. Comput. Soc. 19(1), 43–58 (2013)CrossRefGoogle Scholar
  15. 15.
    Özpolat, E., Akar, G.B.: Automatic detection of learning styles for an e-learning system. J. Comput. Educ. 53(2), 355–367 (2009)CrossRefGoogle Scholar
  16. 16.
    Bian, H.-X.: Application of virtual reality in music teaching system. Int. Emerg. Technol. Learn. 11(11), 21–25 (2016)CrossRefGoogle Scholar
  17. 17.
    Smith, S., Ericson, E.: Using immersive game-based virtual reality to teach fire-safety skills to children. J. Virtual Reality 13(2), 87–99 (2009)CrossRefGoogle Scholar
  18. 18.
    Xie, Y., Ryder, L., Chen, Y.: Using interactive virtual reality tools in an advanced Chinese language class: a case study. J. TechTrends 63(3), 251–259 (2019)CrossRefGoogle Scholar
  19. 19.
    Kuxuexi. http://kuxuexi.com/. Accessed 09 May 2019

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.College of Physics and Information EngineeringFuzhou UniversityFuzhouChina

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