RETHINKING ASSESSMENT: DIFFERENTIATED INSTRUCTION IN THE AI ERA

Abstract

This article re-examines the role of assessment within the rapidly evolving landscape of artificial intelligence (AI), focusing specifically on differentiated instruction. As AI tools become more integrated into education, traditional, one-size-fits-all assessment methods are proving to be inadequate for capturing the full scope of student learning. This paper argues for a paradigm shift, urging educators to rethink assessment by embracing a differentiated approach where students can demonstrate their mastery through diverse and creative products. We explore how AI can serve as a powerful ally in this process, offering new ways to automate feedback, analyze complex student outputs, and provide personalized support that goes beyond conventional grading. However, this shift also presents significant challenges, including concerns about academic integrity and the ethical use of AI. By reviewing current literature and proposing a forward-looking framework, this paper highlights the potential of AI to not only streamline the assessment process but also cultivate a more equitable and student-centered learning environment.