論文

査読有り 責任著者
2019年7月

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

2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI)
  • Parisa Supitayakul
  • ,
  • Zeynep Yucel
  • ,
  • Akito Monden
  • ,
  • Pattara Leelaprute

開始ページ
226
終了ページ
229
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/iiai-aai.2019.00052
出版者・発行元
IEEE

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.

リンク情報
DOI
https://doi.org/10.1109/iiai-aai.2019.00052
URL
http://xplorestaging.ieee.org/ielx7/8972340/8992595/08992730.pdf?arnumber=8992730
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85080915812&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85080915812&origin=inward
ID情報
  • DOI : 10.1109/iiai-aai.2019.00052
  • ISBN : 9781728126272
  • SCOPUS ID : 85080915812

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