HIERARCHICAL EFFECT OF ACADEMIC SELF-EFFICACY AND SOCIO-DEMOGRAPHIC CHARACTERISTICS ON SATISFACTION AND DROPOUT OF STUDENTS WITH DISABILITY IN HIGHER EDUCATION

Yıl 2024, , 136 - 154, 01.01.2024

Merve Bulut Yaren Bulbul

https://doi.org/10.17718/tojde.1245358

Öz

Even though distance education from the home environment has seemed comfortable and economic for students with disability in formal higher education during the pandemic, insufficiency in their academic self-efficacy, satisfaction and an increasing tendency to drop out were observed. This quantitative research is based on development of the scales and hierarchical regression analyses to determine the resources of academic self-efficacy, satisfaction and the tendency to drop out of students with disability in higher education beyond physical accessibility. The hierarchical effect of sub-dimensions of academic self-efficacy on satisfaction and the tendency to drop out and hierarchical predictor roles of socio-demographic characteristics (gender, rate of personal disability, type of disability, and four fields of study) were analysed. Some of the important findings are; self-efficacy in training, emotional well-being, technique and communication are determined as the sub-dimensions of academic self-efficacy. Self-efficacy in emotional well-being is the most effective sub-dimension of academic self-efficacy on satisfaction. Hierarchically, fields of study (social science and health sciences), rate of disability and types of disability (chronic illness and hearing disability) are effective on academic self-efficacy. The results support the decision makers to increase the quality of more inclusive higher education by considering differences based on education fields, types of disability and rate of (personal) disability and gender.

Anahtar Kelimeler

Distance higher education, students with disability, self-efficacy, satisfaction, dropout

Destekleyen Kurum

Scientific and Technological Research Council of Turkey (TÜBİTAK)

Proje Numarası

1919B012006170

Teşekkür

This research was funded by Scientific and Technological Research Council of Turkey (TÜBİTAK) under number 1919B012006170

Kaynakça

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