Trustworthiness of EFL Assessment of Learning in the Age of AI: Challenges and Solutions

Abstract

This study aimed to explore the assessment trustworthiness of English as a Foreign Language (EFL) in the Artificial Intelligence (AI) age by identifying the main challenges and proposing viable solutions. Employing a qualitative case study approach, the research investigated the experiences and perceptions of EFL instructors regarding the challenges and solutions. To meet such an end, the study sought, through semi-structured interviews, to gain insights from the study sample which comprised nine experienced EFL instructors selected based on their expertise in the field of EFL teaching and AI technology. The findings revealed numerous significant challenges, including the disadvantageous effect of AI tools on academic integrity, classwork engagement, reliance on technology, students’ creativity, and current assessment metrics. Despite such challenges, the study portrayed some effective solutions, such as designing authentic assessment tools for assessing higher cognitive skills, adopting active learning strategies, developing training programs for EFL learners, implementing advanced AI content detectors, and updating traditional assessment methods. Based on the results, the study highlighted a dire need to reform conventional assessment practices to address the challenges to integrity posed by AI tools.