Scientific Research Forecasting Using Time Series Analysis - A Case Study of Morocco

Education is the cultivation of people to promote and guarantee the development of society. Education reforms can play a vital role in the development of a country. However, it is crucial to continually monitor the performance of the educational model by forecasting the progress of outcomes. Forecasting models can help to analyze the impact of future outcomes by showing yearly trends. For this study, we developed a hybrid, forecasting time-series model by using seasonal autoregressive integrated moving average (SARIMA) and support vector regression (SVR) to monitor educational reform in Morocco. We analyze the performance of six universities and provide a prediction model to evaluate the performance of the best-performing university after implementation of the latest reform, i.e., from 2015 to 2030. Development of a new prediction model for forecasting the research outcomes of universities.