PhD Thesis Topics in Data Mining - PHD TOPIC.
Educational Data Mining is an emerging discipline, concerned with developing methods for exploring the unique and increasingly large-scale data that come from educational settings and using those methods to better understand students, and the settings which they learn in. Whether educational data is taken from students’ use of interactive learning environments, computer-supported.
The Journal of Educational Data Mining (JEDM; Impact factor: 3.68; ISSN: 2157-2100) is an international and interdisciplinary forum of research on computational approaches for analyzing electronic repositories of student data to answer educational questions.It is completely and permanently free and open-access to both authors and readers.
Educational data Mining (EDM) is a prospering practice that can be used for analytics and visualization of data, prediction of student performance, student modeling, grouping of students etc. (3). Educational Data Mining is focused on developing methods to explore the unique and increasingly large dataset which arrives from educational sources and further employing those methods to understand.
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Thesis (PDF Available). APPLYING DATA MINING TECHNIQUES OVER BIG DATA. by. IDREES YOUSEF Al-HASHEMI. B.Sc., Al-Nahrain University-Iraq, 2009. Submitted in partial fulfillment of the.
Data mining in higher education Data mining is a powerful tool for academic intervention. Through data mining, a universitycould, for example, predict with 85 percent accuracy which students will or will not graduate. The university could use this information to concentrate academic assistance on those students most at risk.