TY - JOUR
T1 - Survival and risk analysis in MOOCs
AU - Labrador, Manuel Medina
AU - Vargas, Gustavo R.Garcia
AU - Alvarado, Jorge
AU - Caicedo, Mario
N1 - Publisher Copyright:
©
PY - 2019
Y1 - 2019
N2 - The most significant disadvantage in the use of MOOCs is their high drop out rates, which reaches between 88.3% and 90%. This research examined the desertion from 15 MOOCs, the following factors and their relation to desertion were assessed, characteristics of the students (gender, language, educational level, age, interest in the final certificate) and aspects of the courses (data lost at the time of registration, duration of the MOOC, course discipline, number of total questions and by evaluation). The results, based on survival analysis, indicate the probability of desertion is the highest on the first and last weeks of the MOOC. Our findings show that the probability of dropout is affected by the number of questions in each evaluation, the educational level of the participants, their age and their interest in the certificate. Missing data in the registration form was found to be associated with desertion being a significant pre-dictor of risk of quitting. Finally, the lack of interest in the certificate was found to be a predictor of the highest risk of dropping out. Possible strategies to reduce the desertion behavior at MOOCs are discussed.
AB - The most significant disadvantage in the use of MOOCs is their high drop out rates, which reaches between 88.3% and 90%. This research examined the desertion from 15 MOOCs, the following factors and their relation to desertion were assessed, characteristics of the students (gender, language, educational level, age, interest in the final certificate) and aspects of the courses (data lost at the time of registration, duration of the MOOC, course discipline, number of total questions and by evaluation). The results, based on survival analysis, indicate the probability of desertion is the highest on the first and last weeks of the MOOC. Our findings show that the probability of dropout is affected by the number of questions in each evaluation, the educational level of the participants, their age and their interest in the certificate. Missing data in the registration form was found to be associated with desertion being a significant pre-dictor of risk of quitting. Finally, the lack of interest in the certificate was found to be a predictor of the highest risk of dropping out. Possible strategies to reduce the desertion behavior at MOOCs are discussed.
KW - Desertion
KW - MOOC
KW - Risk analysis
KW - Survival analysis
UR - http://www.scopus.com/inward/record.url?scp=85083252303&partnerID=8YFLogxK
U2 - 10.17718/TOJDE.640561
DO - 10.17718/TOJDE.640561
M3 - Article
AN - SCOPUS:85083252303
SN - 1302-6488
VL - 20
SP - 149
EP - 159
JO - Turkish Online Journal of Distance Education
JF - Turkish Online Journal of Distance Education
IS - 4
M1 - 0561
ER -