Augmented Reality Technique Assists Target Language Learning

  • Yingling ChenEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11937)


Technology assists learning and teaching covers a great deal of research and yet there are relatively few studies suggesting paths how language instructors help L2 learners cope with learning by implementing augmented reality techniques. Thus, the purpose of this study was to investigate whether the implementation of augmented reality technique helps increasing EFL learners’ learning effectiveness and motivation. The research took place at a private university in the northern part of Taiwan. 216 freshmen participated in the study. Mixed method was applied in the study. The questionnaire of augmented reality technique assists learning L2 effectiveness and satisfaction were implemented at the first section of the data collection. In addition, the use of semi-structure interview and field note techniques were carried out to be the main method of gathering qualitative research data. 12 Participants were randomly selected and asked to reflect on how technology operates in the English learning context and how AR technique creates the model of interactive learning environments after participants’ learning practices. The results indicated that implementing augmented reality technique was a vital strategy for producing independent thinkers and learners.


Augmented reality Second language learning Independent thinker Independent learner 


  1. 1.
    Joiner, E.: Teaching listening: how technology can help. In: Bush, M.D., Terry, R.M. (eds.) Technology-Enhanced Language Learning, pp. 77–120. National Textbook, Lincolnwood (1997)Google Scholar
  2. 2.
    Brett, P: Is multimedia effective for language learning? An intuitive, theoretical and empirical perspective (1998).
  3. 3.
    Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Edge computing: vision and challenges. IEEE Internet Things J. 3, 637–646 (2016)CrossRefGoogle Scholar
  4. 4.
    Armbrust, M., et al.: A view of cloud computing. Commun. ACM 53(4), 50–58 (2010)CrossRefGoogle Scholar
  5. 5.
    Ghemawat, S., Gobioff, H., Leung, S.T.: The Google file system. ACM SIGOPS Oper. Syst. Rev. 37(5), 29–43 (2003)CrossRefGoogle Scholar
  6. 6.
    Dean, J., Ghemawat, S.: MapReduce: simplified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)CrossRefGoogle Scholar
  7. 7.
    Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The Hadoop distributed file system. In: Proceedings of the IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), pp. 1–10 (2010)Google Scholar
  8. 8.
    Zaharia, M., Chowdhury, M., Franklin, M.J., Shenker, S., Stoica, I.: Spark: cluster computing with working sets. In: Proceedings of the 2nd Usenix Conference on Hot Topics in Cloud Computing, vol. 10, p. 10 (2010)Google Scholar
  9. 9.
    Shumaker, R., Lackey, S. (eds.): VAMR 2014. LNCS, vol. 8525. Springer, Cham (2014). Scholar
  10. 10.
    Milgram, P., Kishino, F.: A taxonomy of mixed reality visual displays. IEICE Trans. Inf. Syst. E77-D, 1321–1329 (1994). Accessed 17 July 2019Google Scholar
  11. 11.
    Karthika, S., Praveena, P., GokilaMani, M.: Hololens. Int. J. Comput. Sci. Mob. Comput. 6(2), 41–50 (2017)Google Scholar
  12. 12.
    Lai, C., Chu, Y.: Increasing the learning performance via augmented reality technology. In: Wu, T.-T., Gennari, R., Huang, Y.-M., Xie, H., Cao, Y. (eds.) SETE 2016. LNCS, vol. 10108, pp. 58–64. Springer, Cham (2017). Scholar
  13. 13.
    Johnson, L., Levine, A., Smith, R., Stone, S.: Simple Augmented Reality. The 2010 Horizon Report, pp. 21–24. The New Media Consortium, Austin (2010)Google Scholar
  14. 14.
    Milgram, P., Kishino, F.: A taxonomy of mixed reality visual displays. IEICE Trans. Inf. Syst. E77-D, 1321–1329 (1994). Accessed 17 Oct 2013Google Scholar
  15. 15.
    Hughes, C.E., Stapleton, C.B., Hughes, D.E., Smith, E.M.: Mixed reality in education, entertainment, and training. IEEE Comput. Graph. Appl. 25(6), 24–30 (2005)CrossRefGoogle Scholar
  16. 16.
    Chen, Y.: Reducing language speaking anxiety among adult EFL learners with interactive holographic learning support system. In: Wu, T.-T., Huang, Y.-M., Shadieva, R., Lin, L., Starčič, A.I. (eds.) ICITL 2018. LNCS, vol. 11003, pp. 101–110. Springer, Cham (2018). Scholar
  17. 17.
    Lee, K.: Augmented reality in education and training. TechTrends 56(2), 13–21 (2012)CrossRefGoogle Scholar
  18. 18.
    Beckett, G.H., Miller, P.C.: ProjectBased Second and Foreign Language Learning: Past, Present and Future. Information Age Publishing, Greenwich (2006)Google Scholar
  19. 19.
    Zhang, H.L.: The development tendency of the modern foreign language teaching and the computer assisted instruction. In: Computer-Assisted Foreign Language Education, 3 (2006) Google Scholar
  20. 20.
    Chang, I.Y., Chang, W.Y.: The effect of student learning motivation on learning satisfaction. Int. J. Organ. Innov. 4(3), 281–305 (2012)MathSciNetGoogle Scholar
  21. 21.
    Chien, T.K.: Using the learning satisfaction improving model to enhance the teaching quality. Qual. Assur. Educ. 15(2), 192–214 (2007). Scholar
  22. 22.
    Liu, M., Moore, Z., Graham, L., Lee, S.: A look at the research on computer-based technology use in second language learning: a review of the literature from 1990–2000. J. Res. Technol. Educ. 34(3), 250–273 (2002)CrossRefGoogle Scholar
  23. 23.
    Creswell, J.W., Clark, V.L.P.: Designing and Conducting Mixed Methods Research. Sage Publications, Thousand Oaks (2011)Google Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Center for General Education, Oriental Institute of TechnologyNew TaipeiTaiwan

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