skip to main content
10.1145/1978942.1979414acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
research-article

Augmenting the web for second language vocabulary learning

Published:07 May 2011Publication History

ABSTRACT

The busyness of everyday life means that those with casual interest in additional learning opportunities are often unable to schedule regular time and effort for studying. In this paper, we explore how to augment information technologies that people use on a daily basis to create micro-learning opportunities. In particular, we examine how a person's existing Web browsing experience-with first language Web pages-can be augmented to teach them second language vocabulary. We present a prototype, ALOE, which runs inside the Firefox Web browser and dynamically augments Web pages by replacing a selected set of English words with their foreign translations. The foreign translations are embedded in the rich context of a Web page's existing English text to promote incidental learning and guessing from context of the translated words. Through a two month user evaluation of ALOE, we found that most participants were able to learn an average of 50 new French vocabulary words.

References

  1. Beaudin, J. Intille, S., Tapia, E.M., Rockinson, R., Morris, M. Context-Sensitive Microlearning of Foreign Language Vocabulary on a Mobile Device. Ambient Intelligence, 2007, p. 55--"72. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Berleant, D., Lovelady, S., Viswanathan, K. A foreign vocabulary learning aid for the networked world of tomorrow: the LEARN project. ACM SIGICE Bulletin, vol. 19, 1994, pp. 22--29. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Cavus N., Ibrahim, D. m-Learning: An experiment in using SMS to support learning new English language words. British Journal of Educational Technology, vol. 40, 2009, pp. 78--91.Google ScholarGoogle ScholarCross RefCross Ref
  4. Chen, C., Hsu, S.. Li, Y., Peng, C. Personalized Intelligent M-learning System for Supporting Effective English Learning. 2006 IEEE International Conference on Systems, Man and Cybernetics, vol. 11, 2006, pp. 4898--4903.Google ScholarGoogle Scholar
  5. Chun, D.M., Plass, J.L. Effects of multimedia annotations on vocabulary acquisition. The Modern Language Journal, vol. 80, 1996, pp. 183--"198.Google ScholarGoogle ScholarCross RefCross Ref
  6. Fallahkhair, S., Pemberton, L., Griffiths, R. Development of a cross-platform ubiquitous language learning service via mobile phone and interactive television. Journal of Computer Assisted Learning, vol. 23, 2007, pp. 312--325.Google ScholarGoogle ScholarCross RefCross Ref
  7. Fletcher, W.H. Concordancing the Web: Promise and Problems, Tools and Techniques. Corpus linguistics and the Web, 2007, p. 25--"45.Google ScholarGoogle Scholar
  8. Friedman, G.L. Learner-created lexical databases using web-based source material. ELT Journal, vol. 63, 2008, pp. 126--136.Google ScholarGoogle ScholarCross RefCross Ref
  9. Guo, S., Zhang, G. Building a customised Google-based collocation collector to enhance language learning. British Journal of Educational Technology, vol. 38, 2007, pp. 747--751.Google ScholarGoogle ScholarCross RefCross Ref
  10. Helft, M. Using Computing Might, Google Improves Translation Tool. The New York Times, 2010.Google ScholarGoogle Scholar
  11. Hirata, Y., Hirata, Y. Independent research project with web-derived corpora for language learning. The JALT CALL Journal, vol. 3, 2007, pp. 33--"48.Google ScholarGoogle ScholarCross RefCross Ref
  12. Hubbard, P. A General Introduction to Computer Assisted Language Learning. Computer Assisted Language Learning: Critical Concepts in Linguistics. Volume I --" Foundations of CALL, 2009, pp. 1--20.Google ScholarGoogle Scholar
  13. Hulstijn, J. Retention of inferred and given word meanings: Experiments in incidental vocabulary learning. In P. Arnaud and H. Béjoint, editors, Vocabulary and Applied Linguistics, pages 113--125. Macmillan, London, 1992.Google ScholarGoogle ScholarCross RefCross Ref
  14. Hulstijn, J.H., Hollander, M., Greidanus, T. Incidental vocabulary learning by advanced foreign language students: The influence of marginal glosses, dictionary use, and reoccurrence of unknown words. The Modern Language Journal, vol. 80(iii), 1996, pp. 327--"339.Google ScholarGoogle Scholar
  15. Kolers, P.A., Ostry, D.J.. Time course of loss of information regarding pattern analyzing operations. Journal of Verbal Learning and Verbal Behavior, vol. 13, 1974, pp. 599--"612.Google ScholarGoogle ScholarCross RefCross Ref
  16. Levy, M., Stockwell, G. CALL Dimensions: Options and Issues in Computer-Assisted Language Learning. Lawrence Erlbaum Associates, N.J., 2006, 328 pages.Google ScholarGoogle Scholar
  17. Li, C. SMS-based Vocabulary Learning for ESL Students. Chun Li. 2009.Google ScholarGoogle Scholar
  18. Liu, T. A context-aware ubiquitous learning environment for language listening and speaking. Journal of Computer Assisted Learning, vol. 25, 2009, pp. 515--527.Google ScholarGoogle ScholarCross RefCross Ref
  19. Nagata, N. The effectiveness of computer-assisted interactive glosses. Foreign Language Annals, vol. 32(4), 1999, pp. 469--"479.Google ScholarGoogle ScholarCross RefCross Ref
  20. Nation, I.S.P. Teaching and Learning Vocabulary. Heinle & Heinle, Boston, MA, 1990.Google ScholarGoogle Scholar
  21. Ogata, H., Chengjiu Yin, Paredes, R.G., Nobuji, J., Saito, A., Yano, Y., Oishi, Y., Ueda, T. Supporting Mobile Language Learning outside Classrooms. Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06), 2006, pp. 928--932. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Ogata, H., Yano, Y. Context-aware support for computer-supported ubiquitous learning. Proceedings of the 2nd IEEE International Workshop on Wireless and Mobile Technologies in Education, 2004, pp. 27--34. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Pan, C., Huang, P. The development and evaluation of a web-based college English outside reading system for EFL freshmen. JALTCALL, vol. 5, 2009, pp. 3--22.Google ScholarGoogle ScholarCross RefCross Ref
  24. Peters, E. Manipulating L2 learners' online dictionary use and its effect on L2 word retention. Language Learning & Technology, vol. 11, 2007, p. 36--"58.Google ScholarGoogle Scholar
  25. Ridder, I.D. Visible or invisible links: does the highlighting of hyperlinks affect incidental vocabulary learning, text comprehension, and the reading process? Language Learning & Technology, vol. 6, 2002, pp. 123--146.Google ScholarGoogle Scholar
  26. Rott, S. The effect of exposure frequency on intermediate language learners' incidental vocabulary acquisition and retention through reading. Studies in Second Language Acquisition, vol. 21(4), 1999, pp. 589--"619.Google ScholarGoogle ScholarCross RefCross Ref
  27. Sanko, G. The Effects of Hypertextual Input Modification on L2 Vocabulary Acquisition and Retention. University of Pacs Roundtable 2006: Empirical Studies in English Applied Linguistics, M. Nikolov and J. Horvath, Lingua Franca Csoport, 2006, pp. 157--178.Google ScholarGoogle Scholar
  28. Segler, T., Pain, H., Sorace, A. Second Language Vocabulary Acquisition and Learning Strategies in ICALL Environments. Computer Assisted Language Learning, vol. 15(4), 2002, pp.409--422.Google ScholarGoogle ScholarCross RefCross Ref
  29. Shaffer, D.W., Resnick, M. --SThick--? Authenticity: New Media and Authentic Learning. Journal of Interactive Learning Research, vol. 10(2), 1999, pp. 195--215. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Sternberg, R.J. Most vocabulary is learned from context. In M.G.McKeown and M.E. Curtis, editors, The Nature of Vocabulary Acquisition, pages 89--"105. Lawrence Erlbaum, Hillsdale, N.J., 1987.Google ScholarGoogle Scholar
  31. Streiter, O., Knapp, J., Voltmer, L., Zielinski, D. Browsers for autonomous and contextualized language learning: tools and theories. ITRE 2005. 3rd International Conference on Information Technology: Research and Education, 2005, pp. 343--347.Google ScholarGoogle ScholarCross RefCross Ref
  32. Tauber, J. A New Kind Of Graded Reader. Feb. 10, 2008.Google ScholarGoogle Scholar
  33. Thornton, P., Houser, C. Using mobile phones in English education in Japan. Journal of Computer Assisted Learning, vol. 21(3), 2005, pp. 217--228.Google ScholarGoogle ScholarCross RefCross Ref
  34. Wible, D. Automating repeated exposure to target vocabulary for second language learners. Proceedings IEEE International Conference on Advanced Learning Technologies, 2001, pp. 127--128. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Yanguas, I. Multimedia glosses and their effect on L2 text comprehension and vocabulary learning. Language Learning and Technology, vol. 13, 2009, p. 48--"67.Google ScholarGoogle Scholar
  36. Yongqi, G., Johnson, R.K. Vocabulary learning strategies and language learning outcomes. Language Learning, vol. 46(4), 1996, pp. 643--"679.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Augmenting the web for second language vocabulary learning
      Index terms have been assigned to the content through auto-classification.

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
        May 2011
        3530 pages
        ISBN:9781450302289
        DOI:10.1145/1978942

        Copyright © 2011 ACM

        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 7 May 2011

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        CHI '11 Paper Acceptance Rate410of1,532submissions,27%Overall Acceptance Rate6,199of26,314submissions,24%

        Upcoming Conference

        CHI '24
        CHI Conference on Human Factors in Computing Systems
        May 11 - 16, 2024
        Honolulu , HI , USA

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader