Foreign Language Learning Assessment in the Age of ChatGPT

Abstract

In the Artificial Intelligence (AI) age now, foreign language learners can get unlimited support on their learning tasks from advanced AI chatbots, primarily the ChatGPT. At the same time, such a language chatbot intensifies the importance of rethinking learning outcome assessment. Traditional assessments that draw on a teach-and-test- approach are of little use and no longer valid for a comprehensive understanding of students’ knowledge and skills that they, by and large, obtain in informal learning settings and contribute to their overall performance. Hence, alternative assessments can reflect more on learners’ actual performance that likely involves AI chatbots and yet goes unnoticed by traditional assessment. This paper discusses alternative assessments regarding their nature, forms, characteristics, advantages, and integration into L2 programs. It establishes a foundational theoretical account for future research that would take place when ChatGPT becomes commonplace in the worldwide L2 contexts. It charts new research territories and passes the torch to second and foreign-language learning assessors to reflect on their teaching situations and reimagine L2 programs in light of the affordances of the ChatGPT, which has made a significant breakthrough in learning and teaching languages.