Analyzing undergraduate students\' performance using educational data mining

摘要: Abstract The tremendous growth in electronic data of universities creates the need to have some meaningful information extracted from these large volumes data. advancement mining field makes it possible mine educational order improve quality processes. This study, thus, uses methods study performance undergraduate students. Two aspects students' been focused upon. First, predicting academic achievement at end a four-year programme. Second, studying typical progressions and combining them with prediction results. important groups students identified: low high achieving results indicate that by focusing on small number courses are indicators particularly good or poor performance, is provide timely warning support students, advice opportunities performing