Affiliation:
1. Temple University, USA
Abstract
Language's complex and dynamic nature requires language assessment to be conducted on spontaneous speech in authentic contexts. Assessment in task-based language teaching has the potential to achieve this goal and would benefit from a game-based virtual environment. However, conducting assessments in game-based and task-based teaching remains challenging. Based on the data collected in a workshop for 15 pre-service and in-service teachers, this chapter reports difficulties in leveraging assessment in game-based and task-based language teaching from teachers' perspectives. Results highlight the need to adopt a stealth assessment approach. This chapter proposes a constructive framework for stealth assessment in language teaching. Specific technological tools such as automated speech recognition, eye-tracking, and artificial intelligence are discussed, with a focus on their application in stealth assessment for game-based and task-based language teaching.
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