Abstract

This research presents a novel model, AIEd Bloom’s taxonomy, which integrates artificial intelligence (AI) technologies with Bloom’s taxonomy for learning objectives. The model comprises six levels: collect, adapt, simulate, process, evaluate, and innovate. Each level utilizes AI-powered platforms and tools to enhance the teaching and learning processes, such as organizing resources, creating adaptive learning experiences, simulating experiential learning, visualizing data for enhanced comprehension, and the providing evaluation tools for both formative and summative assessment. The proposed model aims to augment both the efficiency and effectiveness of educational processes in the context of the digital age. Designed for application within educational settings, this model has the potential to enhance learning through a variety of methods. Furthermore, its utility extends across a diverse range of cognitive levels, enabling the achievement of multiple learning objectives. This research constitutes a significant contribution to the burgeoning field of AI in education (AIEd) by presenting a cohesive framework that strategically aligns AI functionalities with Bloom’s taxonomy, thus enriching the overall educational ecosystem.