Abstract
Many computer-assisted language learning systems specifically designed to be used in the curriculum and which exploit AI techniques have neither a learner model nor consequently any deep error analysis. Evidence from applied linguistics shows that learners have their own system of rules for the production of a foreign language. We believe the central issue is to determine the appropriate level of description of these rules and uncover the strategies used by the learners in particular situations. This information represents the major part of the learner model. We review error analysis in second language learning and tutoring systems related to this perspective. We introduce a new structure, called an “applicable rule”, that can be used to help diagnose and to represent a learner’s performance. We propose a design for the architecture of a system for computer diagnoses of learners’ grammatical performances in a communicative environment. Examples of diagnosis using applicable rules illustrate the functioning of this architecture.
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References
Abeillé A.: A Lexicalized Tree Adjoining Grammar for French and Its relevance to language teaching (this volume)
Anderson J. R. and Reiser B.: The Lisp tutor. Byte, 10, 159–175 (1985)
Barchan J., Woodmansee B. J., and Yazdani M.: A PROLOG-based tool for French grammar analysis. Instructional Science, 14, 21–48 (1986)
Bescherelle, D.: Le nouveau Bescherelle, 3. La grammaire pour tous. Paris: Hatier 1984
Boguraev B., Carrol J., Briscoe T., and Grover C.: Software support for practical grammar development. COLING 88, Budapest 1988
Brown J. S. and Burton R. R.: Diagnostic models for procedural bugs in basic mathematical skills. Cognitive Science, 2, 155–192(1978)
Brown J. S. and van Lehn K.: Repair theory: a generative theory of bugs in procedural skills. Cognitive Science, 4, 379–462 (1980)
Cerri S. A.: ALICE: Acquisition of Linguistic Items in the Context of Examples. Instructional Science, 18, 63–92 (1989)
Cerri S., Cheli E., and McIntyre A.: Nobile: Object-based user model acquisition for second language learning (this volume)
Chanier T.: Compréhension de textes dans un domaine technique: le système ACTES. Application des grammaires d’unification et de la théorie du discours. PhD Dissertation, Université Paris-Nord, Villetaneuse, June 1989
Chanier T., Dillenbourg P., Hartley R., Hinzte D., Nichols D., Pengelly M., Self J., and Twidale M.: A Prototype for the acquisition of rule-based student models. AI-Report n° 40, Computing Department, University of Lancaster, January 1990
Chen Li and Barry L.K.: XTRA-TE: Using natural language processing software to develop an ITS for language learning. 4th International Conference on Artificial Intelligence and Education; Amsterdam, May, pp. 54–63 1989
Computational Linguistics: Special issue on ill-formed input. American Journal of Computational Linguistics, 9, 3–4 (1983)
Demaizière F., Blanvillain O.: Learners’ intuitions, misconceptions and errors (this volume)
Dillenbourg P. and Self J.: A framework for cognitive diagnosis. AI-Report n° 48, Computing Department, University of Lancaster 1990
Ellis R.: Understanding second language acquisition.. Oxford: Oxford University Press 1985
Fouqueré, C.: Systèmes d’analyse tolérante du langage naturel. PhD Dissertation, Université Paris-Nord, Villetaneuse, January 1988
Fum D. Pani, B. and Tasso C.: Naive vs. formal grammars: A case for integration in the design of a foreign language tutor (this volume)
Tasso C., Fum D., and Giangrandi P.: The use of explanation-based learning for modelling student behavior in foreign language tutoring (this volume)
Hamburger H. and Hashim R.: Foreign language tutoring and learning environment (this volume)
Johnson R. and Rosner M.: A rich environment for experimentation with unification grammars. Proceedings of the European Association for Computational Linguistics, Manchester 1989
Kobsa A. and Wahlster W.: User models in dialog systems. New York, NY: Springer-Verlag 1989
Laurillard D.: The pedagogical limitations of generative student models. Instructional Science 17, 29–55 (1988)
Littlewood, W. T.: Foreign and second language learning. Language acquisition research and its implications for the classroom. New York, NY: Cambridge University Press 1984
Matz M.: Towards a process model for high school algebra errors. In D.H. Sleeman and J. S. Brown (eds.), Intelligent tutoring systems, New York, NY: Academic Press 1982
Menzel W.: Error diagnosis and selection in a training system for second language learning. COLING 88, Budapest, August 1988
Mulford G. W.: Semantic processing for communicative exercises in foreign-language learning. Computers and the Humanities, Special Issue on the Intelligent Computer-Assisted Language Instruction. Vol. 23, 1, January 1989
Murray J., Morgensten D., and Furstenberg G.: The Athena language learning project: Design issues for the next generation of computer-based language learning tools. In Smith W. S. (ed.), Modern technology in foreign language education: Applications and projects. American Council on the Teaching of Foreign Languages 1987
Nwana H. S. and Coxhead P.: Fraction bugs: explanations, theories and implications for intelligent tutoring systems. Proceedings of 6th Workshop of European Soc. for the Study of Cognitive Systems, Varena 1988
Pengelly M., Chanier T.: Knowledge acquisition for learner modelling in second language learning. Paper presented at the NATO advanced educational technology workshop ‘Cognitive Modelling & Interactive Environments’. Eindhoven, The Netherlands 1990
Pijls F., Daelemans W., and Kempen G.: Artificial intelligence tools for grammar and spelling instruction. Instructional Science. 16, 319–336 (1987)
Pijls F., Kempen G., and Janner E.: Intelligent modules for Dutch grammar instruction. Report of the Experimental Psychology Department. University of Nijmegen. The Netherlands 1989
Richards J.C.: A non-contrastive approach to error analysis. In Richards J. C (ed.) Error analysis: Perspectives on second language acquisition. Longman 1984
Richards J. C.: Error analysis: Perspectives on second language acquisition. Longman 1984
Schuster E.: The role of native grammars in correcting errors in second language learning. Computational Intelligence, 2, 93–98 (1986)
Schwind, C.: An intelligent language tutoring system. International Journal of Man-Machine Studies, 33, 557–579 (1990)
Selinker L.: Interlanguage. In Richards J. C (ed.) Error analysis: Perspectives on second language acquisition. Longman 1984
Shieber S. M.: An introduction to unification-based approaches to grammar. CSLI Lecture Notes. University of Chicago Press 1986
Swan M. and Smith B.: Learner English. A teacher’s guide to interference and other problems. London, UK: Cambridge University Press 1987
Swan P.: Theory and practice of computer-assisted language learning. PhD dissertation, Open University, Milton Keynes, UK, August 1990
Swartz M. L. and Russell D. M.: FL-IDE: hypertext for structuring a conceptual design for computer-assisted language learning. Instructional Science, 18, 5–26 (1989)
Swartz M.L.: Issues for tutoring knowledge in foreign language intelligent tutoring systems (this volume)
Twidale M. B.: Knowledge acquisition for intelligent tutoring systems. Paper presented at the NATO advanced educational technology workshop ‘Cognitive Modelling & Interactive Environments’. Eindhoven, The Netherlands 1990
van Els T., Bongaerts T., Extra G., van Os C., and Janssen-van Dieten A. M.: Applied linguistics and the learning and teaching of foreign languages. London: Edward Arnold 1984
Wilks Y. and Farwell D.: Building an intelligent second language tutor from whatever bits and pieces you have lying around (this volume)
Yazdani M., O’Brien P., Byron G.: An English tutor: Project Report (1987–1989). Report of the Computing Department, University of Exeter, UK 1989
Zock, M.: SWIM or sink: The problem of communicating thought (this volume)
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Chanier, T., Pengelly, M., Twidale, M., Self, J. (1992). Conceptual Modelling in Error Analysis in Computer-Assisted Language Learning Systems. In: Swartz, M.L., Yazdani, M. (eds) Intelligent Tutoring Systems for Foreign Language Learning. NATO ASI Series, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77202-3_9
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DOI: https://doi.org/10.1007/978-3-642-77202-3_9
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