Unveiling the predictors of academic belonging in higher education

Erer, Sercan
Çapa Aydın, Yeşim
Utilizing a survey research method, this study aimed to examine academic belonging of university students and factors predicting it. With such an aim, the research questions have unveiled the departments with the highest and lowest scores in academic belonging and how well individual variables predicted academic belonging of university students. With 470 participants, the results revealed that while the highest score belongs to the city and regional planning department, the lowest is from food engineering. Moreover, the development of a sense of academic belonging towards departments at the bachelor’s level is significantly predicted by cumulative grade point average of university students.
18th Biennial EARLI (the European Association for Research on Learning and Instruction) Conference (12 - 16 Ağustos 2019)


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Citation Formats
S. Erer and Y. Çapa Aydın, “Unveiling the predictors of academic belonging in higher education,” presented at the 18th Biennial EARLI (the European Association for Research on Learning and Instruction) Conference (12 - 16 Ağustos 2019), Aachen, Germany, 2019, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/78188.