TY - GEN
T1 - Investigating visual attention of students with different learning ability on texts generated by speech-to-text recognition
AU - Shadiev, Rustam
AU - Huang, Yueh Min
AU - Hwang, Wu Yuin
AU - Shadiev, Narzikul
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/9/17
Y1 - 2014/9/17
N2 - One major drawback of previous research on speech-to-text recognition (STR) is that most of their findings showing an effectiveness of STR for learning in traditional classroom were based on subjective evidences. Very few studies have used eye-tracking techniques to investigate visual attention of students on STR generated text. Furthermore, not much attention was paid to learning differences (i.e. Learning ability) to use STR-text. Therefore, this study carried out one experiment in which participants' visual attention on STR generated text during lectures was investigated by employing eye-tracking technique. Besides, how differently effective STR-text can be to influence participants' learning achievement was tested. Furthermore, this paper discusses results, research findings, and implications along with conclusions and several suggestions for future development and research.
AB - One major drawback of previous research on speech-to-text recognition (STR) is that most of their findings showing an effectiveness of STR for learning in traditional classroom were based on subjective evidences. Very few studies have used eye-tracking techniques to investigate visual attention of students on STR generated text. Furthermore, not much attention was paid to learning differences (i.e. Learning ability) to use STR-text. Therefore, this study carried out one experiment in which participants' visual attention on STR generated text during lectures was investigated by employing eye-tracking technique. Besides, how differently effective STR-text can be to influence participants' learning achievement was tested. Furthermore, this paper discusses results, research findings, and implications along with conclusions and several suggestions for future development and research.
UR - http://www.scopus.com/inward/record.url?scp=84910097511&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84910097511&partnerID=8YFLogxK
U2 - 10.1109/ICALT.2014.127
DO - 10.1109/ICALT.2014.127
M3 - Conference contribution
AN - SCOPUS:84910097511
T3 - Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014
SP - 423
EP - 425
BT - Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014
A2 - Sampson, Demetrios G.
A2 - Spector, Michael J.
A2 - Chen, Nian-Shing
A2 - Huang, Ronghuai
A2 - Kinshuk, null
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Advanced Learning Technologies, ICALT 2014
Y2 - 7 July 2014 through 9 July 2014
ER -