TY - JOUR
T1 - Technology anxiety (technostress) and academic burnout from online classes in university students
AU - Churampi-Cangalaya, Roberto Líder
AU - Inga-ávila, Miguel Fernando
AU - Ulloa-Ninahuamán, Jesús
AU - Inga-ávila, José Luis
AU - Quispe, Madelyn Apardo
AU - Inga-Aliaga, Miguel Ángel
AU - Huamán-Pérez, Francisca
AU - Caballero, Enrique Mendoza
N1 - Publisher Copyright:
© 2024 by the authors; licensee Growing Science, Canada.
PY - 2024
Y1 - 2024
N2 - Pandemic moments have generated mental and emotional problems in students at all levels. These have been affected by the format of virtual classes, the mandatory confinement and the little phys-ical relationship due to the existing restrictions, generating academic burnout and anxiety in university students. In this context, the objective was to know the existing relationship between burnout and anxiety in students of the FIS-UNCP, the 15-question Maslach Burnout Inventory Student Questionnaire (MBI-SS) was used with the dimensions: Emotional Exhaustion, Cynicism and Loss of Academic Efficacy and 5 questions to know the level of technological anxiety or tech-nostress, with a population of 328 university students of 10 semesters, through the questionnaire in Office Forms. The research design was non-experimental, transectional, with a qualitative-quantitative approach and descriptive-explanatory levels. The descriptive data analysis was made based on the scale, allowing the identification of students with burnout and the structural equation modeling facilitated the establishment of the relationship between the variables. The study showed that 26 students (7.93%) suffer from academic burnout. At the same time, it has been demonstrated that there is a positive and significant relationship between emotional exhaustion and lack of academic efficacy, with technological anxiety with path values of 0.701 and 0.345 respectively, the p-values allowed demonstrating hypotheses 1 and 3 formulated. At the level of the structural model, it allows anticipating future results, since the coefficient of determination (R2) calculated was 0.838.
AB - Pandemic moments have generated mental and emotional problems in students at all levels. These have been affected by the format of virtual classes, the mandatory confinement and the little phys-ical relationship due to the existing restrictions, generating academic burnout and anxiety in university students. In this context, the objective was to know the existing relationship between burnout and anxiety in students of the FIS-UNCP, the 15-question Maslach Burnout Inventory Student Questionnaire (MBI-SS) was used with the dimensions: Emotional Exhaustion, Cynicism and Loss of Academic Efficacy and 5 questions to know the level of technological anxiety or tech-nostress, with a population of 328 university students of 10 semesters, through the questionnaire in Office Forms. The research design was non-experimental, transectional, with a qualitative-quantitative approach and descriptive-explanatory levels. The descriptive data analysis was made based on the scale, allowing the identification of students with burnout and the structural equation modeling facilitated the establishment of the relationship between the variables. The study showed that 26 students (7.93%) suffer from academic burnout. At the same time, it has been demonstrated that there is a positive and significant relationship between emotional exhaustion and lack of academic efficacy, with technological anxiety with path values of 0.701 and 0.345 respectively, the p-values allowed demonstrating hypotheses 1 and 3 formulated. At the level of the structural model, it allows anticipating future results, since the coefficient of determination (R2) calculated was 0.838.
KW - Academic burnout
KW - Academic effectiveness
KW - Cynicism
KW - Maslach Student-Survey emotional exhaustion
KW - Technoestress
KW - Technological anxiety
UR - http://www.scopus.com/inward/record.url?scp=85175420397&partnerID=8YFLogxK
U2 - 10.5267/j.ijdns.2023.9.005
DO - 10.5267/j.ijdns.2023.9.005
M3 - Original Article
AN - SCOPUS:85175420397
SN - 2561-8148
VL - 8
SP - 515
EP - 522
JO - International Journal of Data and Network Science
JF - International Journal of Data and Network Science
IS - 1
ER -