Assessing the Effect of Varying Word Classes on Behavioral Variables in Technology Mediated Vocabulary Learning

Parisa Supitayakul, Zeynep Yucel, Akito Monden, Pattara Leelaprute

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study focuses on foreign language vocabulary learning in computerized medium and seeks for any possibility of adaptation with respect to background information on word classes. To that end, we employ a spaced repetition flashcard software and display English vocabulary belonging to three word classes as (i) abstract noun, (ii) concrete noun, and (iii) verb. Regarding each word class, we deploy three sets of words with difficulty levels of (i) easy, (ii) medium, and (iii) hard. Through log file analysis, we derive several behavioral variables and examine the polyserial correlation between these variables and difficulty levels across different word classes. It is found that abstract and concrete nouns do not have any significant difference in terms of the correlation for the five kinds of behavioral variables in focus. However, it is noted that front sides of the cards involving verbs are observed relatively longer, while back sides are observed for somewhat shorter duration.

Original languageEnglish
Title of host publicationProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages226-229
Number of pages4
ISBN (Electronic)9781728126272
DOIs
Publication statusPublished - Jul 2019
Event8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019 - Toyama, Japan
Duration: Jul 7 2019Jul 11 2019

Publication series

NameProceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019

Conference

Conference8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
CountryJapan
CityToyama
Period7/7/197/11/19

Keywords

  • adaptation
  • behavioral variable
  • e-learning
  • vocabulary learning

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Social Sciences (miscellaneous)

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  • Cite this

    Supitayakul, P., Yucel, Z., Monden, A., & Leelaprute, P. (2019). Assessing the Effect of Varying Word Classes on Behavioral Variables in Technology Mediated Vocabulary Learning. In Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019 (pp. 226-229). [8992730] (Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2019.00052