Artificial Intelligence and Assessment Generators in Education: A Comprehensive Review

Artificial Intelligence (AI) has made substantial strides within educational assessment generators. This comprehensive review rigorously investigates the multifaceted impact of AI on assessment generators in education, encompassing the entire spectrum from examination creation to practical implementation. The study elucidates the underpinning theories and models that drive AI-assisted assessment generators, critically evaluating their inherent strengths, limitations, and ethical considerations. Through a meticulous examination of relevant research studies, this review affords an intricate portrayal of how AI seamlessly integrates into the realm of assessment generators. The outcomes underscore the transformative potential of AI in enhancing the quality and efficiency of assessments while also recognizing the imperative concerns regarding biases and technological constraints. Ultimately, this investigation culminates by charting a path forward, suggesting avenues for further research and practical applications. In summary, this study delves into the paradigm shift AI instigates within educational assessment practices through its pivotal role in assessment generators.