Hostname: page-component-84b7d79bbc-g7rbq Total loading time: 0 Render date: 2024-07-29T14:08:58.307Z Has data issue: false hasContentIssue false

Learning languages: Implications for student modelling in ICALL

Published online by Cambridge University Press:  16 December 2008

Susan Bull
Affiliation:
Department of Artificial Intelligence, University of Edinburgh, 80 South Bridge, Edinburgh EH1 1HN, UK (Email: susanb@aisb.ed.ac.uk)

Abstract

Many factors affect the learning of a foreign language. When designing computer assisted language learning software it is usually not sufficient to think only about creating an exercise in the language, but students should be modelled in order to allow the program to take account of individuals' beliefs and learning. However, student models are criticised for various reasons, the most common of which include: 1. Modelling the learner places a great burden on the system, as it has sole responsibility for the creation of an accurate student model. 2. Student models are inadequate because it is not possible to model all aspects of a student's knowledge and learning. This paper describes the student model of an intelligent computer assisted language learning (ICALL) system which strives to overcome problems of traditional student models by taking into account issues important in the field of second language acquisition, and research in collaborative approaches to learning.

Type
Research Article
Copyright
Copyright © European Association for Computer Assisted Language Learning 1994

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abraham, R. G. and Vann, R. J. ‘Strategies of Two Language Learners: A Case Study’, in Wenden, and Rubin, (eds.), Learner Strategies in Language Learning, Prentice Hall, Hemel Hempstead, 1987, pp. 85102.Google Scholar
Bull, S. ‘Student Modelling for Second Language Acquisition’, Computers and Education, 1994.Google Scholar
Bull, S., Pain, H. and Brna, P. ‘Student Modelling in an Intelligent Computer Assisted Language Learning System: The Issues of Language Transfer and Learning Strategies’, Proceedings International Conference on Computers in Education, Taipei, Taiwan, 1993.Google Scholar
Bull, S., Pain, H. and Brna, P.Student Modelling Beyond Domain Knowledge, Research Report, Department of Artificial Intelligence, University of Edinburgh, 1994.Google Scholar
Catt, M. and Hirst, G.An Intelligent CALI System for Grammatical Error Diagnosis’, CALL, vol. 3, 1990, pp. 326.CrossRefGoogle Scholar
Chan, T.-W. and Baskin, A. B. ‘Studying with the Prince” the Computer as a Learning Companion’, Proceedings ITS, Montreal, Canada, 1988, pp. 194200.Google Scholar
Dillenbourg, P. and Self, J.Designing Human-Computer Collaborative Learning, AI Group Technical Report No. 47, Computing Department, University of Lancaster, 1990.Google Scholar
Kellerman, E.Towards a Characterisation of the Strategy of Transfer in Second Language Learning’, Inter language Studies Bulletin, vol 2 no 1, 1977, pp. 58145.Google Scholar
Odlin, T.Language Transfer, Cross-Linguistic Influence in Language Learning, Cambridge University Press, Cambridge, 1989.CrossRefGoogle Scholar
O'Malley, J. M. and Chamot, A. U.Learning Strategies in Second Language Acquisition, Cambridge University Press, Cambridge, 1990.CrossRefGoogle Scholar
Pienemann, M.Is Language Teachable? Psycholinguistic Experiments and Hypotheses’, Applied Linguistics, vol 10 no 1, 1989, pp. 5279.CrossRefGoogle Scholar
Puntambekar, S. ‘What Will I do Next?’ - Developing Metacognition With the Help of a Computer Based system, International Conference for Technology in EducationLondon, UK, 1994.Google Scholar
Ringbom, H.Borrowing and Lexical Transfer’, Applied Linguistics, vol 4 no 3, 1983, pp. 207212.CrossRefGoogle Scholar
Schmidt, R. W.The Role of Consciousness in Second Language Learning’, Applied Linguistics, vol 11 no 2, 1990CrossRefGoogle Scholar
Schuster, E.The Role of Native Grammars in Correcting Errors in Second Language Learning’, Computational Intelligence, vol. 2, 1986, pp. 9398.Google Scholar
Wang, Y. and Garigliano, R. ‘Negative Transfer and Intelligent Tutoring1, Proceedings Seventh International PEG ConferenceEdinburgh, UK, 1993.Google Scholar