TY - GEN
T1 - Psychological evaluation of university students
T2 - 3rd IEEE World Engineering Education Conference, EDUNINE 2019
AU - Alatrista-Salas, Hugo
AU - Lazo-Lazo, Juan
AU - Nunez-Del-Prado, Miguel
AU - Otiniano-Campos, Fiorella
AU - Perez-Reyes-De-La-Flor, Jorge
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3
Y1 - 2019/3
N2 - Students starting university have different characteristics, which can impact their performance in the classroom. In this study, 743 freshmen were surveyed. The collected variables are grouped into five categories: demographic data, learning approach, personality, emotional intelligence, and perceived social support. These characteristics provide a profile of the student that will impact their behavior and academic performance during their university life. Based on these data, we have applied data mining techniques in order to build patterns of behavior that represent correlations between the characteristics of the students. Our results highlight the importance of using pattern mining techniques on data associated with the psychological evaluation of new university students.
AB - Students starting university have different characteristics, which can impact their performance in the classroom. In this study, 743 freshmen were surveyed. The collected variables are grouped into five categories: demographic data, learning approach, personality, emotional intelligence, and perceived social support. These characteristics provide a profile of the student that will impact their behavior and academic performance during their university life. Based on these data, we have applied data mining techniques in order to build patterns of behavior that represent correlations between the characteristics of the students. Our results highlight the importance of using pattern mining techniques on data associated with the psychological evaluation of new university students.
KW - data mining
KW - emotional intelligence
KW - psychological evaluation
KW - social support
UR - http://www.scopus.com/inward/record.url?scp=85074762619&partnerID=8YFLogxK
U2 - 10.1109/EDUNINE.2019.8875829
DO - 10.1109/EDUNINE.2019.8875829
M3 - Conference contribution
AN - SCOPUS:85074762619
T3 - EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings
BT - EDUNINE 2019 - 3rd IEEE World Engineering Education Conference
A2 - Brito, Claudio da Rocha
A2 - Ciampi, Melany M.
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 March 2019 through 20 March 2019
ER -