Unsupervised Techniques to Develop a Social Networking Platform in an Educational Institute In todayu0027s world, we come across various people in all walks of life inclined towards certain interests and disinterests. Knowingly or unknowingly such people with similar interest tend to connect to each other due to matching thought processes. Such may be the case in various scenarios such as work places, schools, colleges and communities. Consider a large institution where admissions happen on a yearly basis and thousands of students are inducted into the institution. Most of the students may not be familiar with each other and may find it hard to interact with each other to collaborate for educational purposes. Our goal is to make it easier for such students to connect. Through an unsupervised manner, we can bring together people and help them connect better.

Student Performance on an ELearning Platform: Mixed Method Approach Elearning is considered a leading application of digital technologies in educational systems. The aim of the paper is to explore the utilization and impact of digital technologies on an elearning platform. For this purpose, research was conducted at the Moodle learning management system. Data from the elearning platform were empirically evaluated in order to find key indicators of student performance in different courses. Student success with the elearning system was evaluated using a mixedmethod: Social Network Analysis, KMeans Clustering, and Multiple Linear Regression.  The research was conducted at the University of Novi Sad, Faculty of Technical Sciences, Serbia. The results indicate a significant relationship between the performance of students and the use of digital educational resources from the elearning platform.