By Topic

Automated Reply to Students' Queries in E-Learning Environment Using Web-BOT

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

7 Author(s)
Farhan, M. ; Virtual Univ. of Pakistan, Lahore, Pakistan ; Munwar, I.M. ; Aslam, M. ; Enriquez, A.M.M.
more authors

Electronic Learning (e-Learning) is used to educate people in these days. Using e-Learning, a number of world ranking universities are starting different courses for high school level to degree level and even at post graduate level through distance learning. This paper describes the best-known different machine learning techniques to boost up the e-Learning education standard and model. Comprehensively supervised and unsupervised techniques are described here for the e-Learning paradigm to auto reply of students' questions. Web bot is incorporated for the learning of students who are taking courses by remote mode. Due to the number of students enrolled in a particular course, student teacher interaction is a major challenge. Thus the solution is to train the Web based bot and make it available for the students' interaction 24/7. Main drawback of e-Learning environment is not frequent replies of student queries which we are going to cover by using web bot. The key demand is to deal with learning techniques but not fully automated. Training of the machine is performed on training data and validation is performed on test data set. Proposed idea of using the web bot in e-Learning is helpful to increase the learning curve of the students.

Published in:

Artificial Intelligence (MICAI), 2012 11th Mexican International Conference on

Date of Conference:

Oct. 27 2012-Nov. 4 2012