Over recent years, there has been a rise in the number of students completing nursery education in Bangladesh. However, in order to achieve a sustainable education goal, the dropout rate in education needs to be reduced. Therefore, this research worked on providing insights that would help to understand the possible causes of dropout from education. Since primary education is the starting point for every student, this research has been conducted on this part of education. The research used data obtained from a European country, Slovenia to use the insights of a developed country. The study was conducted using association rule mining where several mining rules were generated using the Apriori algorithm. The rules obtained had the confidence of 0.95 and support of 0.04. The result showed three major rules of dropping out children in nursery education and eventually helps to ensure higher education for all children.

Extended Latency Time (ELT) algorithm is an extension of the Latency time (LT) algorithm. Unlike LT, its extended version allows a system to assign tasks containing arbitrary time into the different processors. In doing so each task is assigned a time frame which decreases as each time unit passes. This report provides detailed information on the performance of ELT on different Linux based operating systems. The algorithm was implemented and the runtime was measured by providing graphs as input, in three different operation systems of Linux which are Ubuntu, Mint and Kali where average execution time in Kali Linux has been the highest which is close to 2.284 time units. From the three Ubuntu showed the most promising result which has shown an execution time of 2.198 time units. After some close observation it was found that the algorithm showed the best performance in Ubuntu.