With advent of technology online education has become the core of educational settings worldwide. This paper aims to identify the factors that contribute in enhancing the online learning usage model in context of India, an emerging leader in Educational settings across the globe. In this study, data mining techniques were applied on the data collected from the log files of online courses. The initial investigations supported the use of custom build framework for teaching online courses. Data Structure course was taught using online platform and the data was collected using the log files. The data collected was further analysed using data mining techniques using Rapid miner tool. Although the results from three different data mining techniques showed some variations but the inferences from the results identified few common factors that have influence on enhancing the online learning usage model. Clustering techniques revealed that factors related to timely checking of online contents and posting have positive impact on online learning however decision trees supported that timely completing the online assignments along with checking of online contents and posting of messages played an important role in terms of enhancing the academic performance. This paper identifies three factors for teachers teaching online courses to improve overall performance of the students by learning from Indian University Success.

In the IT world, predicting the academic performance of the huge student population poses a big challenge. Educational data mining techniques significantly contribute in providing solution to this problem. There are several prediction methods available for data classification and clustering, to extract information and provide accurate results. In this paper, different prediction methodologies are highlighted for the prediction of real-time data analysis of dynamic academic behavior of the students. The main focus is to provide brief knowledge about all data mining techniques and highlight dissimilarities among various methods in order to provide the best results for the students.

In the recent era, the demand of the internet is increasing. The Internet is global computer network that provide the sharing of data and information. Internet is useful in every field. It modifies the way of working, living style and contributed positive impact on our life. With the raising of the demand new tools and technologies are developed. The internet is classified in various generations depends on the functionality and key features. In this paper the generations of the internet and functionality are discussed. The internet has 1.0, 2.0, and 3.0 that provides internet protocols. Internet 4.0 and 5.0 are grownup and it works on wireless and sensor network devices. With the development of new generation the data rate, flexibility, Quality of service, performance and many other features are improved. In this survey focus on the features, techniques and tools provided by each generation.

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