Machine Learning Predictions for the Advancement of the Online Education in the Higher Education Institutions in Jordan

Bayan Alfayoumi, Mohammad Alshraideh, Martin Leiner, Iyad Muhsen AlDajani


The major objective of the study is to identify and rank in terms of relative importance selected principles in online education in the higher education institutions, their means for achieving an effective and online education in higher education institutions in Jordan. To achieve these objectives, the online survey research design was employed within the applied practice in the research. Survey questionnaires were used in the study to determine the perspectives of 6500 facility members, students, and administrators from the higher education universities in Jordan. The results showed that the participants mainly experienced online education, which is useful in promoting Internet research methodologies, connecting practitioners in online education with the global online education community environment, and obtaining wide-ranging knowledge resources. It also provides that online education in Jordan is successful. Higher education institutions can reach international standards in universities through online education and become part of the online knowledge-based educational community. This is the first study in which three algorithms were used to predict and determine the extent of online education in Jordan.

Keywords: online education, higher education institution, prediction, machine learning, internet research methodologies.

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