Investigating the role of politeness in human-human online tutoring

Jionghao Lin; David Lang; Haoran Xie; Dragan Gašević; Guanliang Chen

doi:10.1007/978-3-030-52240-7_32

Investigating the role of politeness in human-human online tutoring

Jionghao Lin
, David Lang
, Haoran Xie
, Dragan Gašević
, Guanliang Chen

Department of Data Science & AI

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

3 Citations (Scopus)

Abstract

This study aims to investigate the role of politeness in online-tutoring practices by analyzing a large-scale human-human tutorial dialogue dataset. To this end, we employed linguistic theories of politeness to identify the politeness strategies contained in utterances made by tutors and students, and these strategies were further combined to quantify the politeness levels of tutors and students in a tutorial session. The results revealed that tutors had a similar level of politeness at the beginning of all dialogues, while students were more polite at the end if they successfully solved problems.

Original language	English
Title of host publication	Artificial Intelligence in Education
Subtitle of host publication	21st International Conference, AIED 2020 Ifrane, Morocco, July 6–10, 2020 Proceedings, Part II
Editors	Ig Ibert Bittencourt, Mutlu Cukurova, Kasia Muldner, Rose Luckin, Eva Millán
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	174-179
Number of pages	6
ISBN (Electronic)	9783030522407
ISBN (Print)	9783030522391
DOIs	https://doi.org/10.1007/978-3-030-52240-7_32
Publication status	Published - 1 Jan 2020
Event	International Conference on Artificial Intelligence in Education 2020 - Ifrane, Morocco Duration: 6 Jul 2020 → 10 Jul 2020 Conference number: 21st https://aied2020.nees.com.br (Website) https://link.springer.com/book/10.1007/978-3-030-52240-7 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	12164
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Artificial Intelligence in Education 2020
Abbreviated title	AIED 2020
Country/Territory	Morocco
City	Ifrane
Period	6/07/20 → 10/07/20
Internet address	https://aied2020.nees.com.br (Website) https://link.springer.com/book/10.1007/978-3-030-52240-7 (Proceedings)

Keywords

Educational dialogue analysis
Politeness strategies

Access to Document

10.1007/978-3-030-52240-7_32

316076662-oaFinal published version, 795 KB

Cite this

Lin, J., Lang, D., Xie, H., Gašević, D., & Chen, G. (2020). Investigating the role of politeness in human-human online tutoring. In I. I. Bittencourt, M. Cukurova, K. Muldner, R. Luckin, & E. Millán (Eds.), Artificial Intelligence in Education: 21st International Conference, AIED 2020 Ifrane, Morocco, July 6–10, 2020 Proceedings, Part II (pp. 174-179). (Lecture Notes in Computer Science ; Vol. 12164). Springer. https://doi.org/10.1007/978-3-030-52240-7_32

Lin, Jionghao ; Lang, David ; Xie, Haoran et al. / Investigating the role of politeness in human-human online tutoring. Artificial Intelligence in Education: 21st International Conference, AIED 2020 Ifrane, Morocco, July 6–10, 2020 Proceedings, Part II. editor / Ig Ibert Bittencourt ; Mutlu Cukurova ; Kasia Muldner ; Rose Luckin ; Eva Millán. Cham Switzerland : Springer, 2020. pp. 174-179 (Lecture Notes in Computer Science ).

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title = "Investigating the role of politeness in human-human online tutoring",

abstract = "This study aims to investigate the role of politeness in online-tutoring practices by analyzing a large-scale human-human tutorial dialogue dataset. To this end, we employed linguistic theories of politeness to identify the politeness strategies contained in utterances made by tutors and students, and these strategies were further combined to quantify the politeness levels of tutors and students in a tutorial session. The results revealed that tutors had a similar level of politeness at the beginning of all dialogues, while students were more polite at the end if they successfully solved problems.",

keywords = "Educational dialogue analysis, Politeness strategies",

author = "Jionghao Lin and David Lang and Haoran Xie and Dragan Ga{\v s}evi{\'c} and Guanliang Chen",

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booktitle = "Artificial Intelligence in Education",

address = "Switzerland",

note = "International Conference on Artificial Intelligence in Education 2020, AIED 2020 ; Conference date: 06-07-2020 Through 10-07-2020",

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Lin, J, Lang, D, Xie, H, Gašević, D & Chen, G 2020, Investigating the role of politeness in human-human online tutoring. in II Bittencourt, M Cukurova, K Muldner, R Luckin & E Millán (eds), Artificial Intelligence in Education: 21st International Conference, AIED 2020 Ifrane, Morocco, July 6–10, 2020 Proceedings, Part II. Lecture Notes in Computer Science , vol. 12164, Springer, Cham Switzerland, pp. 174-179, International Conference on Artificial Intelligence in Education 2020, Ifrane, Morocco, 6/07/20. https://doi.org/10.1007/978-3-030-52240-7_32

Investigating the role of politeness in human-human online tutoring. / Lin, Jionghao; Lang, David; Xie, Haoran et al.
Artificial Intelligence in Education: 21st International Conference, AIED 2020 Ifrane, Morocco, July 6–10, 2020 Proceedings, Part II. ed. / Ig Ibert Bittencourt; Mutlu Cukurova; Kasia Muldner; Rose Luckin; Eva Millán. Cham Switzerland: Springer, 2020. p. 174-179 (Lecture Notes in Computer Science ; Vol. 12164).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Investigating the role of politeness in human-human online tutoring

AU - Lin, Jionghao

AU - Lang, David

AU - Xie, Haoran

AU - Gašević, Dragan

AU - Chen, Guanliang

N1 - Conference code: 21st

PY - 2020/1/1

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N2 - This study aims to investigate the role of politeness in online-tutoring practices by analyzing a large-scale human-human tutorial dialogue dataset. To this end, we employed linguistic theories of politeness to identify the politeness strategies contained in utterances made by tutors and students, and these strategies were further combined to quantify the politeness levels of tutors and students in a tutorial session. The results revealed that tutors had a similar level of politeness at the beginning of all dialogues, while students were more polite at the end if they successfully solved problems.

AB - This study aims to investigate the role of politeness in online-tutoring practices by analyzing a large-scale human-human tutorial dialogue dataset. To this end, we employed linguistic theories of politeness to identify the politeness strategies contained in utterances made by tutors and students, and these strategies were further combined to quantify the politeness levels of tutors and students in a tutorial session. The results revealed that tutors had a similar level of politeness at the beginning of all dialogues, while students were more polite at the end if they successfully solved problems.

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KW - Politeness strategies

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Lin J, Lang D, Xie H, Gašević D, Chen G. Investigating the role of politeness in human-human online tutoring. In Bittencourt II, Cukurova M, Muldner K, Luckin R, Millán E, editors, Artificial Intelligence in Education: 21st International Conference, AIED 2020 Ifrane, Morocco, July 6–10, 2020 Proceedings, Part II. Cham Switzerland: Springer. 2020. p. 174-179. (Lecture Notes in Computer Science ). doi: 10.1007/978-3-030-52240-7_32

Investigating the role of politeness in human-human online tutoring

Abstract

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Conference

Keywords

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