TY - GEN
T1 - Investigating the effect of various types of audio reinforcement on memory retention
AU - Supitayakul, Parisa
AU - Yucel, Zeynep
AU - Nose, Misato
AU - Monden, Akito
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Most e-learning systems deliver solely visual information, even though they boast a huge potential for supporting the learners using various other capabilities (e.g. camera, speakers) of the hosting platform (i.e. computer, smart phone etc.). In this study, we focus deploying one such potential, namely audio stimuli (informative and non-informative), for supporting rote learning of different types of learning material (i.e. easy verbal, hard verbal and numerical). Our results indicate that audio stimuli do not provide a significant benefit for studying easy verbal content, but there is a big room for improvement concerning other content types (hard verbal and numerical). Interestingly, despite the general implications of dual-coding theory, human-readout of hard verbal contents is observed not to provide any significant improvement over visual-only stimuli. However, to our surprise, non-informative audio stimuli (i.e. bell sound) are observed to provide an improvement, whereas numerical content is observed to benefit in a similar way from informative and non-informative audio. Based on these results, in the future we aim developing an automatic learning support system, which triggers the appropriate audio stimuli, taking in consideration the type of content.
AB - Most e-learning systems deliver solely visual information, even though they boast a huge potential for supporting the learners using various other capabilities (e.g. camera, speakers) of the hosting platform (i.e. computer, smart phone etc.). In this study, we focus deploying one such potential, namely audio stimuli (informative and non-informative), for supporting rote learning of different types of learning material (i.e. easy verbal, hard verbal and numerical). Our results indicate that audio stimuli do not provide a significant benefit for studying easy verbal content, but there is a big room for improvement concerning other content types (hard verbal and numerical). Interestingly, despite the general implications of dual-coding theory, human-readout of hard verbal contents is observed not to provide any significant improvement over visual-only stimuli. However, to our surprise, non-informative audio stimuli (i.e. bell sound) are observed to provide an improvement, whereas numerical content is observed to benefit in a similar way from informative and non-informative audio. Based on these results, in the future we aim developing an automatic learning support system, which triggers the appropriate audio stimuli, taking in consideration the type of content.
KW - cognitive theory of multimedia learning
KW - dual coding theory
KW - E-learning
UR - http://www.scopus.com/inward/record.url?scp=85139558342&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85139558342&partnerID=8YFLogxK
U2 - 10.1109/IIAIAAI55812.2022.00057
DO - 10.1109/IIAIAAI55812.2022.00057
M3 - Conference contribution
AN - SCOPUS:85139558342
T3 - Proceedings - 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022
SP - 250
EP - 255
BT - Proceedings - 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022
A2 - Matsuo, Tokuro
A2 - Takamatsu, Kunihiko
A2 - Ono, Yuichi
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022
Y2 - 2 July 2022 through 7 July 2022
ER -