Abstract
This paper introduces three computer-assisted applications designed for learning foreign vocabulary in an informal setting. The first one, images recommendation application, generates appropriate image recommendations for representing a word. It tackles the challenge for a foreign language learner to determine appropriate images from a standard web search engine such as Google, Yahoo, Flicker, etc. The second application, learning context representation application, generates learning contexts automatically from lifelogging images. It addresses problems associated with describing a learning context in the forms of hand-written descriptions, keeping notes, or taking memos. The third application we discuss here, namely location-based associated word recommendation application, generates recommendations of associated words in a particular learning location by analyzing word learning histories. It seeks to answer a critical question: what I should learn next? This is a critical challenge for the users of ubiquitous learning tools. In order to recommend potential vocabularies which a learner could be learning in a particular location, this study recommends associated words and topic-specific vocabularies. These applications are for AIVAS (Appropriate Image-based Vocabulary Learning System), a platform for computer-assisted vocabulary learning. We report here several evaluations, including human assessment and data-driven assessments, that have been carried out to reveal the importance of these systems.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Wilkins, D.A.: Linguistics in Language Teaching. E. Arnold, London (1973, 1972)
Richards, J.C., Renandya, W.A.: Methodology in Language Teaching: An Anthology of Current Practice. Cambridge University Press, Cambridge (2002)
Huang, Y.-M., Huang, Y.-M., Huang, S.-H., Lin, Y.-T.: A ubiquitous English vocabulary learning system: evidence of active/passive attitudes vs. usefulness/ease-of-use. Comput. Educ. 58(1), 273–282 (2012)
Joseph, S., Binsted, K., Suthers, D.: PhotoStudy: vocabulary learning and collaboration on fixed & mobile devices. In: IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE 2005), p. 5 (2005)
Hasegawa, K., Amemiya, S., Ishikawa, M., Kaneko, K., Miyakoda, H., Tsukahara, W.: PSI: a system for creating english vocabulary materials based on short movies. J. Inf. Syst. Educ. 6(1), 26–33 (2007)
Hasegawa, K., Amemiya, S., Kaneko, K., Miyakoda, H., Tsukahara, W.: MultiPod: a multi-linguistic word learning system based on iPods. In: Proceedings of the Second International Conference on Task-Based Language Teaching (2007)
Wong, L.-H., Looi, C.-K.: Vocabulary learning by mobile-assisted authentic content creation and social meaning-making: two case studies. J. Comput. Assist. Learn. 26(5), 421–433 (2010)
Ogata, H., Li, M., Hou, B., Uosaki, N., El-Bishouty, M.M., Yano, Y.: SCROLL: supporting to share and reuse ubiquitous learning log in the context of language learning. Res. Pract. Technol. Enhanced Learn. 6(2), 69–82 (2011)
Kalyuga, M., Mantai, L., Marrone, M.: Efficient vocabulary learning through online activities. Procedia-Soc. Behav. Sci. 83, 35–38 (2013)
Alobaydi, E.K., Mustaffa, N., Alkhayat, R.Y., Arshad, M.R.H.M.: U-Arabic: design perspective of context-aware ubiquitous Arabic vocabularies learning system. In: 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), pp. 1–6 (2016)
Hasnine, M.N., Ishikawa, M., Hirai, Y., Miyakoda, H., Kaneko, K.: An algorithm to evaluate appropriateness of still images for learning concrete nouns of a new foreign language. IEICE Trans. Inf. Syst. 100(9), 2156–2164 (2017)
Hasnine, M.N., Hirai, Y., Ishikawa, M., Miyakoda, H., Kaneko, K.: A vocabulary learning system by on-demand creation of multilinguistic materials based on appropriate images. In: Proceedings of the 2014 e-Case & e-Tech, pp. 343–356 (2014)
Hasnine, M.N.: Recommendation of appropriate images for vocabulary learning. Ph.D. thesis, Tokyo University of Agriculture and Technology, Japan (2018)
Alliance, V.T.: Professional development for primary, secondary & university educators/administrators. Retrieved from Professional Development for Primary, Secondary & University Educators/Administrators (2014)
Gutierrez, K.: Studies confirm the power of visuals in elearning. Shift Disruptive ELearning (2014)
Hasnine, M.N., Hirai, Y., Ishikawa, M., Miyakoda, H., Kaneko, K., Pemberton, L.: An image recommender system that suggests appropriate images in creation of self-learning items for abstract nouns. Int. J. Manag. Appl. Sci. 2(5), 38–44 (2016)
Hasnine, M.N., Mouri, K., Flanagan, B., Akcapinar, G., Uosaki, N., Ogata, H.: Image recommendation for informal vocabulary learning in a context-aware learning environment. In: Proceedings of the 26th International Conference on Computer in Education, pp. 669–674 (2018)
Hasnine, M.N.: A distributional semantics model for image recommendation using learning analytics. In: Early Career Workshop Proceedings of the 26th International Conference on Computer in Education, pp. 10–12 (2018)
Hasnine, M.N., Flanagan, B., Ishikawa, M., Ogata, H., Mouri, K., Kaneko, K.: A platform for image recommendation in foreign word learning. In: Companion Proceedings of the 9th International Conference on Learning Analytics and Knowledge (LAK 2019), pp. 187–188 (2019)
Ogata, H., Uosaki, N., Mouri, K., Hasnine, M.N., Abou-Khalil, V., Flanagan, B.: SCROLL dataset in the context of ubiquitous language learning. In: Workshop Proceedings of the 26th International Conference on Computer in Education, pp. 418–423 (2018)
Hasnine, M.N., Hirai, Y., Ishikawa, M., Miyakoda, H., Kaneko, K.: Learning effects investigation of an on-demand vocabulary learning materials creation system based on appropriate images. In: Proceedings of the 4th ICT International Student Project Conference (2015)
Gu, P.Y.: Vocabulary learning in a second language: person, task, context and strategies. TESL-EJ 7(2), 1–25 (2003)
Hasnine, M.N., Flanagan, B., Akcapinar, G., Ogata, H., Mouri, K., Uosaki, N.: Vocabulary learning support system based on automatic image captioning technology. In: Streitz, N., Konomi, S. (eds.) HCII 2019. LNCS, vol. 11587, pp. 346–358. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-21935-2_26
Hasnine, M.N., et al.: Design of a location-based word recommendation system based on association rule mining analysis. In: Proceedings of the 8th International Conference on Learning Technologies and Learning Environments, pp. 250–253 (2019)
Agrawal, R., Imieliński, T., Swami, A.: Mining association rules between sets of items in large databases. In: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, pp. 207–216 (1993)
Acknowledgement
This work is supported by JSPS grant-in-aid for start-up research activity number 19K20941.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Nehal Hasnine, M., Ishikawa, M., Mouri, K., Kaneko, K. (2020). Going Beyond Computer-Assisted Vocabulary Learning: Research Synthesis and Frameworks. In: Streitz, N., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2020. Lecture Notes in Computer Science(), vol 12203. Springer, Cham. https://doi.org/10.1007/978-3-030-50344-4_44
Download citation
DOI: https://doi.org/10.1007/978-3-030-50344-4_44
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-50343-7
Online ISBN: 978-3-030-50344-4
eBook Packages: Computer ScienceComputer Science (R0)