Integrating Bloom’s Taxonomy with Artificial Intelligence: Enhancing Cognitive, Affective and Conative Learning in the Digital Age
Author : Dr. C Maria Ugin Joseph
Abstract :
The study looks at how Artificial Intelligence can change education for the better by using Bloom’s Taxonomy. Artificial Intelligence can help students learn in ways not just by thinking but also by feeling and wanting to learn. This paper shows how Artificial Intelligence systems, like Intelligent Tutoring Systems and learning analytics can help students think deeply and learn more.
Artificial Intelligence helps students learn in their way and it can tell how well they are doing. Artificial Intelligence also helps students feel more connected to what they're learning and it can even help them understand people from different cultures. Furthermore, Artificial Intelligence helps students set goals and work towards them which makes them more independent and motivated.
There are still many problems to solve. Not everyone has access to the internet, which is a big problem. In some places only a small number of people can use the internet, which makes it hard for them to learn with Artificial Intelligence. There are also concerns about Artificial Intelligence being unfair like when it recognizes some faces but not others. The study says that we need to make sure Artificial Intelligence is fair and transparent.
The study concludes that Artificial Intelligence should help teachers not replace them. Teachers should be in charge of learning and Artificial Intelligence should assist them. This way students can get an education that includes everything they need to succeed in a world that is connected and uses a lot of technology. Artificial Intelligence and teachers can work together to help students learn and grow in a way that's fair and helpful, to everyone.
Keywords :
Bloom’s Taxonomy, Artificial Intelligence, Cognitive Domain, Affective Domain, Conative Domain, Adaptive Learning, Educational Ethics.
