Digital Signal Processing of Rise-fall Intonation

A Bridge Across Online Distance to Approach the ZPD in the Future

DOI

10.2991/978-94-6463-040-4_132How to use a DOI?

Keywords

Online education; Digital signal processing; Rise-fall intonation; ZPD

Abstract

With the concern about the sense of distance brought by online teaching and learning, the main focus of this article is to study the impacts of teacher's rise-fall intonation on students’ feelings of online distance and willingness to approach the Zone of Proximal Development (ZPD). Through observing and micro-analyzing a video of online English speaking course, some impacts of the rise-fall intonation on the student’s interaction are found as follows: 1) Teacher’s rise-fall intonation can attract students' attention, bring a sense of friendliness, and subconsciously decrease the sense of online distance and increase their willingness to approach the ZPD. 2) Students will lose attention, feel tedious, and become less interactive to approach the ZPD if the teacher keeps using the same rise-fall intonation pattern. On this basis, there are three suggestions for researchers in the future: 1) Different teachers’ intonation pattern can be transformed into digital signal through Fourier Transform and Laplace Transform and then stored in a database. 2) The digital signal of flat intonation can be transformed and finally output as a rise-fall intonation. 3) Some software are needed in the future development of online education. They can constantly monitor teacher's intonation pattern and give a hint for teacher when the prolonged use of the same intonation pattern occurs.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jiaying Wei
AU  - Liang
PY  - 2022
DA  - 2022/12/27
TI  - Digital Signal Processing of Rise-fall Intonation
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 873
EP  - 881
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_132
DO  - 10.2991/978-94-6463-040-4_132
ID  - Wei2022
ER  -