Effective Peer-learning Model for Students Using Neural Network
Akshay Goel 1, Saurabh Shrivastava 1, Hari Shankar Shashvat 1
Citation : Akshay Goel, Saurabh Shrivastava, Hari Shankar Shashvat, Effective Peer-learning Model for Students Using Neural Network International Journal of Managerial Studies and Research 2014 , 2(3) : 1-6
In the face of the challenge of the dynamics of change, the requirements and the expectations
from the professionals in the corporate world have changed drastically resulting in a huge requirement
from schools to equip students with necessary skills, tools and techniques to enable them to be successful in
life as well as in corporate world.
Peer learning offers huge value-add to education received from classroom pedagogy. Considering the
importance of peer-groups, they should not be left to function arbitrarilyby placing students in random
groups and asking them to 'work together'. A proper strategy can help to make this peer-learning most
fruitful and meaningful.
In this paper, an effective strategy for efficient peer-learning is discussed with the help of example using
neural network model. This paper proposes classification of various subjects under curriculum on the basis
of skill set required by the students and forming peer-groups incorporating those diverse skills. The findings
of the paper are quite relevant and motivating foreducational institutions which aspire to produce
successful future leaders in their respective fields