Automated Web-Bot Implementation using Machine Learning Techniques in eLearning Paradigm

Muhammad Munwar Iqbal, Muhammad Farhan, Yasir Saleem, Muhammad Aslam · 2014

E-Learning is very powerful tool and technique that is used to train and educates the people in these days. A lot of world ranking degree awarding universities are begun offer to deliver numerous courses lectures for high school grade education to degree level and even at post-graduation level through eLearning and distance learning paradigm. This research paper extensively concentrates supervised and unsupervised learning methods & strategies which are helpful for the e-Learning framework to automated answer of learners and student inquiries. Primary disadvantage of e-Learning paradigm is not in time answers of learner’s questions, which decrease the learning curve of the student. The key demand in e-Learning environment is to dealing with Machine Learning classification can give higher to learning techniques but not fully automated with this paradigm. Training data set is used form to training the machine and then test data set is used to validate the this approach. This paper analyzes the different machine learning technique and proposed a solution from using these techniques.

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