An empirical model to perceive quality of education sector in UAE schools using data analytics

The study aims to assess the quality of education sector in the context of Dubai Schools, using Mixed Method Research Methodology, by integrating both Quantitative and Qualitative Data.
The investigation involves utilization and analysis of numerical and descriptive data using appropriate statistical techniques and data analysis tools to achieve the objectives of the research. The study aims at identifying past trends and quality determinants that have a contributory impact on school ratings, using Visualization techniques. In addition, stratification of population of Dubai schools on the basis of curricula and performance levels are performed using Machine Learning algorithms and transformation of existing categorical school ratings to numerical values.
The results from these algorithms describe unique characteristics within each classification, thereby directing relevant schools to work upon essential weak areas. In furtherance to this, primary and secondary data from parents of Dubai school students are gathered, and this investigation reveals unbiased feedback of Dubai Schools from multiple angles. The research also examines and concludes the best practices and key areas of improvements of Dubai Schools using Natural Language Processing which benefits educational stakeholders. All methods are applied to real-life data to make inferences, recommendations and predictions into the future for the enhancement of Dubai Schools.