According to Alghamdi (2021), the Covid-19 pandemic has disrupted nearly every aspect of daily life, including the education system. The sudden closure of schools and universities has forced educators and policymakers to rethink traditional teaching methods and adopt new strategies to ensure continuity of Learning. As the pandemic continues to evolve, it is important to assess its impact on the education system and find ways to mitigate its effects. Machine learning techniques offer a powerful tool for analyzing complex data and identifying patterns that might not be apparent through traditional analysis methods. In Covid-19 and Education, machine learning can be used to analyze the vast amounts of data generated by online learning platforms, educational institutions, and government statistics to gain insights into how the pandemic has affected different aspects of Education. For example, machine learning techniques can analyze student performance, attendance, and engagement data during remote Learning. By identifying patterns in this data, educators can gain insights into which teaching strategies are most effective in a virtual setting and develop interventions to support struggling students. Machine learning can also be used to analyze data on the impact of the pandemic on the education system as a whole. This includes data on school closures, enrollment, and teacher retention rates. By analyzing this data, policymakers can gain insights into the long-term effects of the pandemic on the education system and develop strategies to mitigate its impact (Faisal et al. 2021).

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