Automated Web-Bot Implementation using Machine Learning Techniques in eLearning Paradigm
Automated Web-Bot Implementation using Machine Learning Techniques in eLearning Paradigm
复制标题
在电子学习范式中使用机器学习技术的自动化网络机器人实现
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
M. Aslam
中科院分区：
文献类型：
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作者：
M. Iqbal;Muhammad Farhan;Y. Saleem;M. Aslam
E-Learning是当今用于培训和教育人们的非常强大的工具和技术。许多世界排名的学位授予大学开始提供许多课程讲座，高中教育到学位水平，甚至在毕业后的水平，通过电子学习和远程学习模式。本研究广泛地集中了有监督和无监督的学习方法和策略，这些方法和策略有助于e-Learning框架自动回答学习者和学生的询问。电子学习模式的主要缺点是不能及时回答学习者的问题，这降低了学生的学习曲线。电子学习环境中的关键需求是处理机器学习分类可以提供更高的学习技术，但这种模式不能完全自动化。首先利用训练数据集对机器进行训练，然后利用测试数据集对该方法进行验证。本文分析了不同的机器学习技术，并提出了一个解决方案，从使用这些技术。
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.