الملخص الإنجليزي
One of the challenges in educational field is that there is no distinguished method for monitoring
and managing the academic and co-curricular activities without a unified control to ensure non-
refusal of information. This research explores one of the potential benefits of blockchain
technology for ensuring privacy and security of students' academic performance and achievements
in Higher Education Institutions. Student performance is an essential part of higher education
institutions. This is because the university's high-quality standards depend on its excellent record
of academic achievements. In general, most of higher education institutions use final scores to
assess student's performance. Evaluation is important to maintain student's performance and
learning effectiveness. By analyzing student's performance, a strategic program can be well
planned during their studies. Currently, there are several techniques proposed to evaluate student
performance. Data mining is one of the most common methods for analyzing student performance
and it has implemented to student's performance data to provide a broader look and understanding
of the final results and output, as well as, it will lead to a comparative conclusion over the outcomes
of the study. Therefore, this research proposes a hybrid approach for measuring students'
performance by considering the co-curriculum activities and proposing EDM to evaluate the
proposed hybrid model. Student's involvement in academic and co-curricular activities and their
effect on the academic performance have been analyzed using data mining classification
techniques such as ID3, CHAID and Naïve Bayes. The results of this research reveal to some
important indications about the impact of co-curriculum activities on students' academic
performance and the use of a blockchain that will help in ensuring privacy and security of student
competencies in an effective manner.
