PERSONALIZED LEARNING EXPERIENCE THROUGH ADAPTIVE TESTING USING BLOOMS TAXONOMY

Technology is advancing quickly in the modern world, and we daily are exposed to innovations. Artificial
intelligence is one of the rapidly developing fields of computer science that is poised to usher in a new era
of technological advancement through the development of intelligent machines.Artificial intelligence is now
pervasive in our world. It is currently engaged in a wide range of subfields like Mathematics, Biology,
Psychology, Sociology, Computer Science, Education etc.The study of this paper focuses on the application
of AI with Adaptive testing using Bloom’s taxonomy [1] for effective teaching and learning process.The
study emphasiszes the importance of Bloom’s Taxonomy [2] that is used setting the learning objectives for
the students integrated with the benefits of adaptive testng which enables the student work on the areas they
are weak with. For improved accessibility for students and teachers, the suggested method might be
implemented as a feature of an LMS or an Android application