TY - GEN
T1 - Assessing the Effect of Varying Word Classes on Behavioral Variables in Technology Mediated Vocabulary Learning
AU - Supitayakul, Parisa
AU - Yucel, Zeynep
AU - Monden, Akito
AU - Leelaprute, Pattara
N1 - Funding Information:
This research was supported by JSPS KAKENHI Grant Number J18K18168, Japan.
Funding Information:
This work was supported by Grant Number JSPS KAK-ENHI Grant Number J18K18168, Japan
Publisher Copyright:
© 2019 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019/7
Y1 - 2019/7
N2 - 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.
AB - 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.
KW - adaptation
KW - behavioral variable
KW - e-learning
KW - vocabulary learning
UR - http://www.scopus.com/inward/record.url?scp=85080915812&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85080915812&partnerID=8YFLogxK
U2 - 10.1109/IIAI-AAI.2019.00052
DO - 10.1109/IIAI-AAI.2019.00052
M3 - Conference contribution
AN - SCOPUS:85080915812
T3 - Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
SP - 226
EP - 229
BT - Proceedings - 2019 8th International Congress on Advanced Applied Informatics, IIAI-AAI 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2019
Y2 - 7 July 2019 through 11 July 2019
ER -