Investigating visual attention of students with different learning ability on texts generated by speech-to-text recognition

Rustam Shadiev; Yueh Min Huang; Wu Yuin Hwang; Narzikul Shadiev

doi:10.1109/ICALT.2014.127

Investigating visual attention of students with different learning ability on texts generated by speech-to-text recognition

Rustam Shadiev
, Yueh Min Huang
, Wu Yuin Hwang
, Narzikul Shadiev

Department of Engineering Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014
Editors	Demetrios G. Sampson, Michael J. Spector, Nian-Shing Chen, Ronghuai Huang, Kinshuk
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	423-425
Number of pages	3
ISBN (Electronic)	9781479940387
DOIs	https://doi.org/10.1109/ICALT.2014.127
Publication status	Published - 2014 Sept 17
Event	14th IEEE International Conference on Advanced Learning Technologies, ICALT 2014 - Athens, Greece Duration: 2014 Jul 7 → 2014 Jul 9

Publication series

Name	Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014

Other

Other	14th IEEE International Conference on Advanced Learning Technologies, ICALT 2014
Country/Territory	Greece
City	Athens
Period	14-07-07 → 14-07-09

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Education

Access to Document

10.1109/ICALT.2014.127

Cite this

Shadiev, R., Huang, Y. M., Hwang, W. Y., & Shadiev, N. (2014). Investigating visual attention of students with different learning ability on texts generated by speech-to-text recognition. In D. G. Sampson, M. J. Spector, N.-S. Chen, R. Huang, & Kinshuk (Eds.), Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014 (pp. 423-425). Article 6901501 (Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICALT.2014.127

Shadiev, Rustam ; Huang, Yueh Min ; Hwang, Wu Yuin et al. / Investigating visual attention of students with different learning ability on texts generated by speech-to-text recognition. Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014. editor / Demetrios G. Sampson ; Michael J. Spector ; Nian-Shing Chen ; Ronghuai Huang ; Kinshuk. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 423-425 (Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014).

@inproceedings{ac65e2928beb42278b17f97d7c6134fc,

title = "Investigating visual attention of students with different learning ability on texts generated by speech-to-text recognition",

abstract = "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.",

author = "Rustam Shadiev and Huang, \{Yueh Min\} and Hwang, \{Wu Yuin\} and Narzikul Shadiev",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 14th IEEE International Conference on Advanced Learning Technologies, ICALT 2014 ; Conference date: 07-07-2014 Through 09-07-2014",

year = "2014",

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doi = "10.1109/ICALT.2014.127",

language = "English",

series = "Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014",

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}

Shadiev, R, Huang, YM, Hwang, WY & Shadiev, N 2014, Investigating visual attention of students with different learning ability on texts generated by speech-to-text recognition. in DG Sampson, MJ Spector, N-S Chen, R Huang & Kinshuk (eds), Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014., 6901501, Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014, Institute of Electrical and Electronics Engineers Inc., pp. 423-425, 14th IEEE International Conference on Advanced Learning Technologies, ICALT 2014, Athens, Greece, 14-07-07. https://doi.org/10.1109/ICALT.2014.127

Investigating visual attention of students with different learning ability on texts generated by speech-to-text recognition. / Shadiev, Rustam; Huang, Yueh Min; Hwang, Wu Yuin et al.
Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014. ed. / Demetrios G. Sampson; Michael J. Spector; Nian-Shing Chen; Ronghuai Huang; Kinshuk. Institute of Electrical and Electronics Engineers Inc., 2014. p. 423-425 6901501 (Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

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.

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BT - Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014

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PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 7 July 2014 through 9 July 2014

ER -

Shadiev R, Huang YM, Hwang WY, Shadiev N. Investigating visual attention of students with different learning ability on texts generated by speech-to-text recognition. In Sampson DG, Spector MJ, Chen NS, Huang R, Kinshuk, editors, Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 423-425. 6901501. (Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014). doi: 10.1109/ICALT.2014.127

Investigating visual attention of students with different learning ability on texts generated by speech-to-text recognition

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