The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Dialogue-based CALL: a case study on teaching pronouns
Abstract
We describe a computer assisted language learning (CALL) system that uses human–machine dialogue as its medium of interaction. The system was developed to help students learn the basics of the Māori language and was designed to accompany the introductory course in Māori running at the University of Otago. The student engages in a task-based conversation with the CALL system, which is designed to provide practice in specific language constructions as well as to provide opportunities to negotiate meaning within the constraints of the target language constructions. The focus of the paper is on evaluating the CALL system with students. We began with a series of observations of a small number of students using an early version of the system. These real-use observations informed the development of the system which was used in a quanititative study with a different student cohort later in the year. Learning outcomes were assessed through written tests on the Māori system of personal pronouns. Our results show that students who attended the CALL tutorials scored at least as well as students who attended regular tutorials on immediate post-tests. The CALL tutorial groups scored less well on delayed post-tests and some possible reasons for this are discussed. Some caveats for the study are also discussed along with suggestions for further research.
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“Results from these pilot studies are usually reported as positive, except in Vlugter, Knott, McDonald, and Hall (2009), where the experimental group that used the dialogue-based computer assisted language-system scored lower than the control group in the delayed post-tests.”
From Systematic review of research on artificial intelligence applications in higher education – where are the educators? (2019) · cites this paper as Vlugter, Knott, McDonald, and Hall (2009)
Citations
Cites
I.—COMPUTING MACHINERY AND INTELLIGENCE
TURING, A. M. (1950) · Mind · doi:10.1093/mind/lix.236.433 · Cited by 10,290 · cited 2×
“Indeed, building a system that can pass for a human interlocutor is frequently proposed as the key task for the whole discipline of AI (Turing, 1950 ).”
Background
Research works printed but not linked: 21
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- Knott, A. and Wright, N. A dialogue-based knowledge authoring system for text generation . AAAI Spring Symposium on Natural Language Generation in Spoken and Written Dialogue. Stanford, CA. pp.71–78.
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- Lurcock, P., Vlugter, P. and Knott, A. A framework for utterance disambiguation in dialogue . Proceedings of the 2004 Australasian Language Technology Workshop (ALTW) . pp.101–108. Australia: Macquarie University.
- Michaud, L., Mccoy, K. and Stark, L. Modeling the acquisition of English: an intelligent CALL approach . Proceedings of the 8th International Conference on User Modeling . Sonthofen, Germany. pp.13–17. Berlin: Springer.
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- Vlugter, P. and Knott, A. A multi-speaker dialogue system for computer-aided language learning. Proceedings of the 10th Workshop on the Semantics and Pragmatics of Dialogue (BRANDIAL). Potsdam, Germany. Potsdam: Universitaetsverlag Potsdam.
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Sorted by citations
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-019-0171-0 · Cited by 7,242
Kaleimamoowahinekapu Galla, C. (2018) · Language and Literacy · doi:10.20360/langandlit29412 · Cited by 39
Metadata
- Authors
- Vlugter, P., Knott, A., McDonald, J., & Hall, C.
- Affiliations
- University of Otago (NZ)
- Corresponding author
- McDonald, J.
- Venue
- Computer Assisted Language Learning
- Publisher
- Informa UK Limited
- Published
- 2009-04
- Volume
- 22
- Issue
- 2
- Pages
- 115-131
- ISSN
- 0958-8221 (ISSN-L)
- 1744-3210
- OpenAlex
- W1966066032
- Cited by
- 20
- References
- 1
- Citations by year
- 2025: 3 · 2024: 1 · 2023: 1 · 2021: 1 · 2020: 3 · 2019: 2 · 2018: 1 · 2017: 1 · 2016: 2 · 2015: 2 · 2014: 1 · 2013: 1
- FWCI
- 0.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computer Assisted Language Learning (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
- Social Sciences › Arts and Humanities › Language and Linguistics › EFL/ESL Teaching and Learning
- Keywords
- human-computer dialogue, Māori language, personal pronouns, negotiation of meaning, delayed retention
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