Innovation in Multimodal Language Teaching and Learning: The Role of AI-powered Oral Performance Assessment

In the dynamic landscape of education, traditional approaches to designing and evaluating assessments have become progressively burdensome for language educators, who grapple to maintain a balance between assessment creation and other responsibilities. This paper explores an innovative solution, which not only lightens the workload of language educators but also elevates the quality and effectiveness of assessments, with reference to multimodal-pedagogy-based courses given in the past three years. Although rather untrustworthy at their onset, the AI-powered assessment tools used are now capable to offer more reliable in-depth analytics on student oral performance, pinpointing both strengths and weaknesses, while mitigating biases and human errors, thereby fostering a fairer and more consistent evaluation process.