The Development of the Adaptive Item Language Assessment (AILA) for Mixed-Ability Students

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Author

Anastasios Economides, University of Macedonia, Greece

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, October 2005 in Vancouver, Canada ISBN 978-1-880094-57-0

Abstract

Cross-cultural education has created diverse, mixed-ability students. The one-to-many, teacher-centered tutoring model that was used in traditional education up to date and in traditional education and the previous generation of Computer Aided Instruction (CAI) is no longer applicable to distance education due to students' heterogeneity. In order to foster learners' success, we need to adapt Foreign Language Assessment (FLA) environments to accommodate learners' diversity accordingly. Computer Adaptive Testing (CAT) is a promishing field under research that can create FLA adapted to individual student needs, abilities, backgrounds, strengths and weaknesses, giving emphasis to cognitive language skills, such as comprehension, production and use. This paper will describe the development of a computer adaptive placement test for mixed-ability students that can measure both the breath and depth of foreign language awareness in little time.

Citation

Economides, A. (2005). The Development of the Adaptive Item Language Assessment (AILA) for Mixed-Ability Students. In G. Richards (Ed.), Proceedings of E-Learn 2005--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 643-653). Vancouver, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved August 6, 2024 from https://www.learntechlib.org/p/21248.