Classifications of the Summative Assessment for Revised Blooms Taxonomy
  by using Deep Learning
  Education is the basic step of understanding the truth and the preparation of
the intelligence to reflect. Focused on the rational capacity of the human
being the Cognitive process and knowledge dimensions of Revised Blooms Taxonomy
helps to differentiate the procedure of studying into six types of various
cognitive processes and four types of knowledge dimensions. These types are
synchronized in the increasing level of difficulty. In this paper Software
Engineering courses of B.Tech Computer Engineering and Information Technology
offered by various Universities and Educational Institutes have been
investigated for Revised Blooms Taxonomy RBT. Questions are a very useful
constituent. Knowledge intelligence and strength of the learners can be tested
by applying questions.The fundamental goal of this paper is to create a
relative study of the classification of the summative assessment based on
Revised Blooms Taxonomy using the Convolutional Neural Networks CNN Long
Short-Term Memory LSTM of Deep Learning techniques in an endeavor to attain
significant accomplishment and elevated precision levels.
