This paper explores the intersection of Design Thinking and AI in the redesign of learning assessment systems in education. Traditional assessment methods often fail to capture the full scope of a student’s capabilities or learning trajectory. By utilizing AI’s predictive analytics and adaptive learning algorithms within a Design Thinking framework, educators can develop more nuanced, flexible, and comprehensive assessment models. The paper outlines how Design Thinking tools such as brainstorming, ideation, and rapid prototyping can be used to develop AI-based systems that assess not just academic achievement but also critical thinking, creativity, and emotional intelligence. Case studies are presented that highlight the practical application of AI-enhanced assessment tools in both K-12 and higher education settings. The conclusion emphasizes that the fusion of AI and Design Thinking offers a dynamic, student-centered approach to evaluation, enabling continuous feedback and adjustments that cater to individual learning needs.
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