Improving the quality of education system using Data Science Technologies: Survey

Education is the most important and silent weapon in a country for both individual and country’s economy. However lower level of adoption in the education system, poor decision making with less accuracy levels, adoption to new curriculums or subjects, teaching and learning styles are the main issues in education systems. These factors also have further long-term consequences for a country such as unemployment rates rises high, lack of suitable workforce for the demanding fields, individual dissatisfaction while being unemployed as well as in the community and socially. Unemployment rates are risen in Australia from past few years and this as a factor will be an ongoing issue if the government does not take any further actions to overcome these issues will definitely be direct hit to their economy in relation to work force in the present and future. Therefore the right technology should be implemented in order to obtain extract insights, obtain accurate decisions and high level adoption in education sector, as an example technologies such as data warehousing, big data, data mining, business intelligence and data analytics are in the peak of other industries such as aviation, retail, banking and other financial institutions. The main objective of this project is to facilitate a guide or a review for having data science technologies implemented in education sector in order to accomplish better education, as well as emphasis potential advantages of data technologies if it has been implemented in and around education systems.