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Game-Based Vocabulary Learning in China and Hong Kong: Students’ Evaluation of Different Word Learning APPs

  • Di Zou
  • Fu Lee Wang
  • Haoran Xie
  • Lucas Kohnke
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 843)

Abstract

The present research firstly investigated how Chinese and Hong Kong students evaluated five commonly used word learning APPs. Data concerning their perceptions and experience of using these APPs were collected through interviews and questionnaire surveys. Questions concerning their expectations of effective word learning APPs were also asked. The collected data were coded and analyzed to identify common features or points mentioned by the students. The results showed that students highly value features like enabling users to choose specific target groups of words, having vivid visual aids, providing pronunciations, detailed and accurate definitions and examples, and allowing users to interact with other users. The second part of this research asked the students to compare a wording learning APP developed by The Hong Kong Polytechnic University to the APPs that they had used previously, evaluating the advantages and disadvantages of different word learning APPs. The results of the research are consistent with Zou’s (2016, 2017) arguments that the availability of various aspects of word knowledge are conducive to effective word learning as it promotes greater degree of elaboration on the target vocabulary. Moreover, the results support Zou and Xie’s (2018) argument that personalized learning is essential to learner engagement and learning effectiveness.

Keywords

Game-based vocabulary learning Word learning APPs Degree of elaboration Personalized learning 

Notes

Acknowledgement

This study was fully supported by the Start-Up Research Grant (RG 54/2017-2018R) of the Education University of Hong Kong and a grant from Research Grants Council of Hong Kong Special Administrative Region, China (UGC/FDS11/E03/16).

References

  1. Abrams, S.S., Walsh, S.: Gamified vocabulary: online resources and enriched language learning. J. Adolesc. Adult Literacy 9(1), 49–58 (2014)CrossRefGoogle Scholar
  2. Abu Bakar, N., Nosratirad, E.: Sustaining vocabulary acquisition through computer game: a case study. Asian Soc. Sci. 9(5), 1911–2017 (2013)Google Scholar
  3. Bekleyen, N., Yilmaz, A.: The impact of computer-assisted language learning on vocabulary teaching. In: Seventh International Computer & Instructional Technologies Symposium. Firat University, Elazig-Turkey (2011)Google Scholar
  4. Calvo-Ferrer, J.R.: Educational games as stand-alone learning tools and their motivational effect on L2 vocabulary acquisition and perceived learning gains. Br. J. Educ. Technol. 48(2), 264–278 (2017)CrossRefGoogle Scholar
  5. Cavus, N., Ibrahim, D.: A mobile tool for learning English words. In: Paper Presented at the 5th International Conference on Electrical and Computer Systems, Lefke, Cyprus (2008)Google Scholar
  6. Cavus, N., Ibrahim, D.: M-learning: an experiment using SMS to support learning new English language words. Br. J. Educ. Technol. 40(1), 78–91 (2009)CrossRefGoogle Scholar
  7. Chen, C.M., Chung, C.J.: Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle. Comput. Educ. 5(2), 624–645 (2008)CrossRefGoogle Scholar
  8. Chen, M.H., Tseng, W.T., Hsiao, T.Y.: The effectiveness of digital game-based vocabulary learning: a framework-based view of meta-analysis. Br. J. Educ. Technol. 49(1), 69–77 (2018)CrossRefGoogle Scholar
  9. Chen, X.: Evaluating language-learning mobile apps for second-language learners. J. Educ. Technol. Dev. Exchange 9(2), 39–51 (2016)CrossRefGoogle Scholar
  10. Gao, Y.: On the appification of dictionaries: from a Chinese perspective. In: Proceedings of the eLex 2013 Conference, Tallinn, Estonia, pp. 213–224 (2013)Google Scholar
  11. Godwin-Jones, R.: Emerging technologies from memory palaces to spacing algorithms: approaches to second language vocabulary learning. Lang. Learn. Technol. 14(2), 4–11 (2010)Google Scholar
  12. Huang, L.L., Lin, C.C.: Three approaches to glossing and their effects on vocabulary learning. System 44, 127–136 (2014)CrossRefGoogle Scholar
  13. Huang, X., Reddy, S.C.: NEWordS: a news search engine for English vocabulary learning. Int. J. Sci. Technol. Res. 4(8), 271–273 (2015)Google Scholar
  14. Kapp, K.: The Gamification of Learning and Instruction: Game-Based Methods and Strategies for Training and Education. Wiley, Hoboken (2012)Google Scholar
  15. Min, H., Ping, Y.: The research on the application of mobile learning into college English teaching. Int. J. Liberal Arts Soc. Sci. 4(5), 110–114 (2016)Google Scholar
  16. Nihalani, P., Mayrath, M.: Statistics I: findings from using an iPhone app in a higher education course (2010). https://s2.slidedocument.org/uploads/DPDSO2017/09/15/soNjIXmQJR/d8346c34663b203d08bf4f49a2f3960f.pdf. Accessed 1 Feb 2017
  17. Pensky, M.: Digital Game-Based Learning. McGraw Hill, New York (2004)Google Scholar
  18. Rankin, Y., Gold, R., Gooch, B.: 3D role-playing games as language learning tools. In: Gröller, E., Szirmay-Kalos, L. (eds.) Proceedings of EuroGraphics 2006, vol. 25, no. 3. ACM, New York (2006)Google Scholar
  19. Rodriquez, J.E.: Social media use in higher education: key areas to consider for educators. J. Online Learn. Teach. 7(4), 539–550 (2011)Google Scholar
  20. Schimanke, F., Mertens, R., Vornberger, O.: Spaced repetition learning games on mobile devices: foundations and perspectives. Interact. Technol. Smart Educ. 11(3), 201–222 (2014)CrossRefGoogle Scholar
  21. Sylven, L.K., Sundqist, P.: Gaming as extramural English L2 learning and L2 proficiency among young learners. ReCALL 24(3), 302–321 (2012)CrossRefGoogle Scholar
  22. Uzun, L., Cetinavci, U.R., Korkmaz, S., Salihoglu, U.: Developing and applying foreign language vocabulary learning and practicing game: the effect of vocaword. Digit. Culture Educ. 5(1), 50–70 (2013)Google Scholar
  23. Xie, H., Zou, D., Lau, R.Y., Wang, F.L., Wong, T.L.: Generating incidental word-learning tasks via topic-based and load-based profiles. IEEE Multimedia 23(1), 60–70 (2016)CrossRefGoogle Scholar
  24. Zou, D.: A study of the components of the involvement load hypothesis: how involvement load should be allocated to “Search” and “Evaluation”. Unpublished Ph.D. dissertation, City University of Hong Kong, Hong Kong (2012)Google Scholar
  25. Zou, D.: Comparing dictionary-induced vocabulary learning and inferencing in the context of reading. Lexikos 26, 372–390 (2016)CrossRefGoogle Scholar
  26. Zou, D.: Vocabulary acquisition through cloze exercises, sentence-writing and composition-writing: extending the evaluation component of the involvement load hypothesis. Lang. Teach. Res. 21(1), 54–75 (2017)MathSciNetCrossRefGoogle Scholar
  27. Zou, D., Xie, H.R.: Personalized word-learning based on technique feature analysis and learning analytics. J. Educ. Technol. Soc. (2018)Google Scholar
  28. Zou, D., Xie, H., Rao, Y., Wong, T.L., Wang, F.L., Wu, Q.: A comparative study on various vocabulary knowledge scales for predicting vocabulary pre-knowledge. Int. J. Distance Educ. Technol. 15(1), 69–81 (2017)CrossRefGoogle Scholar
  29. Zou, D., Xie, H., Wong, T.L., Wang, F.L., Wu, Q.: The augmented hybrid graph framework for multi-level e-learning applications. In: Cheung, S., Kwok, L., Shang, J., Wang, A., Kwan, R. (eds.) ICBL 2016. LNCS, vol. 9757, pp. 360–370. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-41165-1_32CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Di Zou
    • 1
  • Fu Lee Wang
    • 2
  • Haoran Xie
    • 1
  • Lucas Kohnke
    • 3
  1. 1.The Education University of Hong KongHong Kong SARChina
  2. 2.Caritas Institute of Higher EducationHong Kong SARChina
  3. 3.The Hong Kong Polytechnic UniversityHong Kong SARChina

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