Abstract

Artificial intelligence (AI) is transforming multiple facets of the competitive business world and education. Despite this, the full potential of AI applications within education remains unclear because of the lack of a comprehensive framework on how to use AI in developing assessments across various academic disciplines. While incorporating AI into assessment design can streamline the integration of diverse learning components, it is essential to establish clear performance criteria to ensure the validity of these assessments. In engineering education, the integration of AI in assessment design poses ethical concerns, accountability issues, and limitations in capturing diverse learning forms, and therefore careful consideration is required to ensure fairness and pedagogical value are maintained. This paper aims to conceptualise effective assessment processes using AI in engineering education and demonstrate the potential of various validity techniques, providing a comprehensive framework for leveraging AI to enhance assessment accuracy and effectiveness in engineering education. The discussion elucidates the key components necessary for developing effective assessments through the application of AI capabilities.