Abstract
Creating a test to adequately assess reading, speaking, listening, and writing proficiency in a foreign language has many challenges. Traditionally, such tests have been paper-based or done by an evaluator in a face-to-face mode. The increasing use of technology in language education has recently shifted the way assessment can be performed. This paper will develop the concept of Computer Adaptive Language Tests (CALT). The definition and characteristics of an effective CALT will be presented alongside an evaluation of currently available CALT platforms. Finally, advantages and challenges of such a language assessment option will be discussed.
Author Information
Aurore Bargat, University of Illinois, United States
Paper Information
Conference: ECLL2022
Stream: Educational Technologies
This paper is part of the ECLL2022 Conference Proceedings (View)
Full Paper
View / Download the full paper in a new tab/window
To cite this article:
Bargat A. (2022) Computer Adaptive Language Tests (CALT) ISSN: 2188-112X The European Conference on Language Learning 2022: Official Conference Proceedings https://doi.org/10.22492/issn.2188-112X.2022.10
To link to this article: https://doi.org/10.22492/issn.2188-112X.2022.10
Comments
Powered by WP LinkPress