• P Mani Joseph
• Nassor Suleiman
• Reena Abaraham

In this paper, survey data is used to investigate reasons for discontinuation from studies at a college in Oman. The aspect of data mining that can be associated with this study is that the whereabouts of the survey participants were extracted from the college past records of the College database. The analysis shows that economic reasons and high study loads are the two most frequently identified reasons with the former being the most identified one. On the other hand, poor teaching quality, and lack of facilities at the college are among the least frequent reasons attributed to student discontinuation. Furthermore, the analysis revealed that there is no statistically significant association between student’s gender and the reason for discontinuing their studies at the college. Finally, among the variables: level of satisfaction, sponsor type, and gender, the former two are not statistically significant indicators of whether a student who discontinued his/ her studies from the college will move to another college, unlike the latter variable. More precisely, among students who discontinue their studies at the college, male students are more likely to move to another college to continue with their studies there.

Dropout Analysis, Data Mining, undergraduate students

"REASONS FOR UNDERGRADUATE STUDENTS’ DROPOUT: A CASE STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.a882-a888, August-2021, Available :http://www.jetir.org/papers/JETIR2108116.pdf

"REASONS FOR UNDERGRADUATE STUDENTS’ DROPOUT: A CASE STUDY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppa882-a888, August-2021, Available at : http://www.jetir.org/papers/JETIR2108116.pdf