The process of developing education is a vital and important issue around the world as it is an issue that is inherited through time, and it is one of the most important challenges facing the world. Distance education is one of the means of developing education through which knowledge can be spread and which can help people to overcome obstacles of time and space. Recently, teaching and learning systems have become completely dependent on e-learning, especially during the corona virus disease (COVID-19) pandemic since the world has turned to electronic transactions in all areas, especially in education, and the most used technology includes the use of online training courses such as massive open online courses (MOOCs). It provides great support to the distance learning process as it can facilitate the learning process by diversifying its contents via media, such as text and video. In addition, MOOCs are the most popular and effective online courses. The aim of this paper is to provide an in-depth analysis of the definition, characteristics and patterns of MOOCs. Also, this paper discusses the specific advantages and disadvantages of taking up MOOCs along with the different challenges that MOOCs are facing. In addition, various suggestions will be given to make improvements that can help in making process enhancements to MOOCs. Finally, this paper presents the importance of MOOCs in the COVID-19 era. We hope this paper will help instructors to understand how MOOCs can be made more efficient, enable learners to become more organised and increase their understanding of MOOCs, and will help education development system specialists to find suitable solutions for problems that MOOCs are facing. Keywords: Massive open online courses, e-learning, online courses, distance education, COVID-19.

The big rise in the existence of digital data contributed to creating many good chances, especially related to corporations, institutions and firms. Also, it gives the capability to scrimp data regarding its major or area, where the countries have benefited from the analysis of big data (BD) greatly in the face of epidemics and diseases, especially COVID-19 since BD is now available everywhere around us, from official reports and scientific studies related to virology and epidemiology. The general aim of this study is to clarify how the conjunction among both BD and machine learning (ML) created huge differences in data science and a big influence on the applications related to a lot of fields chiefly in COVID-19. The method which is used in this study 'relevance tree' by identifying papers related to ML and BD, especially in COVID-19. The results have been shown that the use of reinforcement learning in analyzing BD provides effective and tremendous results, although it faces many challenges and restrictions that have been explained in detail in this study. In addition, the results showed that most of the countries in the time of Corona turned into smart cities, totally dependent on smart applications based on the analysis of BD using ML, and one of the most important applications that were circulated around the world global positioning system. In addition to the results that have been found, data privacy is one of the most important challenges facing data analysis. Consequently, it recommended future researchers to focus on studying the challenges faced by ML in analyzing medical data in the COVID-19 era.

Machine learning is considered the most significant technique that processes and analyses educational big data. In this research paper, many previous papers related to analysing the educational big data that uses a lot of artificial intelligence techniques were studied. The purpose of the study is to identify weaknesses and gaps in previous researches. The results showed that many researches highlighted early expectations for academic performance. Unfortunately, no one thought of finding an effective way to guide high schooled students to reach their appropriate majors that can be suitable to their abilities. Those students need to be guided to pass this sensitive phase with high efficiency and good results. Thus, this school level is considered as the starting point for students’ academic lives, professional, and future success.

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