Automated Question Classification Based on Bloom’s Taxonomy

Abstract

This project attempts to revolutionize the process of question paper generation by automating the classification of questions according to revised Bloom’s Taxonomy, to enhance the efficiency in evaluating cognitive levels, providing teachers with a valuable tool to create exam papers. Its value lies in its potential to revolutionize the process of making exam papers easily and in a short amount of time. The scope of our research project extends to personalized learning experiences and adaptive learning methodologies, which can be achieved by significantly increasing the amount of data to be processed, further refinement of the model and adding real-time feedback for continuous improvement. We have created this system especially for practical implications to simplify the exam paper assessment process, as well as for social implications as it could help to contribute to the everadvancing education industry by promoting inclusive learning environments and develop higher order thinking skills among students.