Design and analysis in task-based language assessment

Abstract

In task-based language assessment (TBLA) language use is observed in settings that are more realistic and complex than in discrete skills assessments, and which typically require the integration of topical, social and/or pragmatic knowledge along with knowledge of the formal elements of language. But designing an assessment is not accomplished simply by determining the settings in which performance will be observed. TBLA raises questions of just how to design complex tasks, evaluate students’ performances and draw valid conclusions therefrom. This article examines these challenges from the perspective of ‘evidence-centred assessment design’. The main building blocks are student, evidence and task models, with tasks to be administered in accordance with an assembly model. We describe these models, show how they are linked and assembled to frame an assessment argument and illustrate points with examples from task-based language assessment.