Anticipatory Thinking and AI-Driven Assessments: A Balanced Approach to AI Integration in Education Aligned with Saudi Vision 2030

Abstract

As education evolves to meet the demands of 21st-century learning, traditional assessment methods are increasingly seen as inadequate for capturing the complexities of modern education. This paper explores the transformative potential of Artificial Intelligence in reshaping assessment practices. Through the lens of anticipatory thinking, the paper examines current AI applications in education, their limitations, and how AI-driven assessments can address the challenges faced by traditional methods. By exploring personalized, adaptive, and data-driven assessments, the paper envisions a future where AI not only enhances the accuracy and fairness of evaluations but also supports skill development in critical thinking, creativity, and collaboration. The discussion also delves into the ethical and practical challenges of integrating AI into assessment, including concerns about bias, transparency, and data privacy. Ultimately, the paper advocates for a balanced, forward-thinking approach that integrates AI into educational assessments while maintaining human oversight to ensure fairness, accountability, and the promotion of holistic student development.