Question Personalization in an Intelligent Tutoring System

Sabina Elkins; Ekaterina Kochmar; Robert Belfer; Iulian Serban; Jackie C.K. Cheung

doi:10.1007/978-3-031-11647-6_121

Question Personalization in an Intelligent Tutoring System

Sabina Elkins, Ekaterina Kochmar, Robert Belfer, Iulian Serban, Jackie C.K. Cheung

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Abstract

This paper investigates personalization in the field of intelligent tutoring systems (ITS). We hypothesize that personalization in the way questions are asked improves student learning outcomes. Previous work on dialogue-based ITS personalization has yet to address question phrasing. We show that generating versions of the questions suitable for students at different levels of subject proficiency improves student learning gains, using variants written by a domain expert and an experimental A/B test. This insight demonstrates that the linguistic realization of questions in an ITS affects the learning outcomes for students.

Original language	English
Title of host publication	Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium.
Subtitle of host publication	AIED 2022
Editors	Maria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	586-590
Number of pages	5
Volume	13356
ISBN (Print)	9783031116469
DOIs	https://doi.org/10.1007/978-3-031-11647-6_121
Publication status	Published - 26 Jul 2022
Event	23rd International Conference on Artificial Intelligence in Education, AIED 2022 - Durham, UK United Kingdom Duration: 27 Jul 2022 → 31 Jul 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13356 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	23rd International Conference on Artificial Intelligence in Education, AIED 2022
Country/Territory	UK United Kingdom
City	Durham
Period	27/07/22 → 31/07/22

Keywords

Dialogue-based tutoring system
Intelligent tutoring system
Personalized learning

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-11647-6_121

Cite this

Elkins, S., Kochmar, E., Belfer, R., Serban, I., & Cheung, J. C. K. (2022). Question Personalization in an Intelligent Tutoring System. In M. M. Rodrigo, N. Matsuda, A. I. Cristea, & V. Dimitrova (Eds.), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. : AIED 2022 (Vol. 13356, pp. 586-590). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13356 LNCS). Springer. https://doi.org/10.1007/978-3-031-11647-6_121

Question Personalization in an Intelligent Tutoring System. / Elkins, Sabina; Kochmar, Ekaterina; Belfer, Robert et al.
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. : AIED 2022. ed. / Maria Mercedes Rodrigo; Noburu Matsuda; Alexandra I. Cristea; Vania Dimitrova. Vol. 13356 Cham, Switzerland: Springer, 2022. p. 586-590 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13356 LNCS).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Elkins, S, Kochmar, E, Belfer, R, Serban, I & Cheung, JCK 2022, Question Personalization in an Intelligent Tutoring System. in MM Rodrigo, N Matsuda, AI Cristea & V Dimitrova (eds), Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. : AIED 2022. vol. 13356, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13356 LNCS, Springer, Cham, Switzerland, pp. 586-590, 23rd International Conference on Artificial Intelligence in Education, AIED 2022, Durham, UK United Kingdom, 27/07/22. https://doi.org/10.1007/978-3-031-11647-6_121

Elkins S, Kochmar E, Belfer R, Serban I, Cheung JCK. Question Personalization in an Intelligent Tutoring System. In Rodrigo MM, Matsuda N, Cristea AI, Dimitrova V, editors, Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. : AIED 2022. Vol. 13356. Cham, Switzerland: Springer. 2022. p. 586-590. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2022 Jul 26. doi: 10.1007/978-3-031-11647-6_121

Elkins, Sabina ; Kochmar, Ekaterina ; Belfer, Robert et al. / Question Personalization in an Intelligent Tutoring System. Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. : AIED 2022. editor / Maria Mercedes Rodrigo ; Noburu Matsuda ; Alexandra I. Cristea ; Vania Dimitrova. Vol. 13356 Cham, Switzerland : Springer, 2022. pp. 586-590 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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