Older Women, Deeper Learning, and Greater Satisfaction at University: Age and Gender Predict University Students' Learning Approach and Degree Satisfaction

The present study explored the interactive effect of age and gender in predicting surface and deep learning approaches. It also investigated how these variables related to degree satisfaction. Participants were 983 undergraduate students at a large public Australian university. They completed a rese...

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Bibliographic Details
Published in:Journal of diversity in higher education 2018-03, Vol.11 (1), p.82-96
Main Authors: Rubin, Mark, Scevak, Jill, Southgate, Erica, Macqueen, Suzanne, Williams, Paul, Douglas, Heather
Format: Article
Language:English
Subjects:
Age
Age Differences
Correlation
Deep learning
Educational Degrees
Female
Females
Foreign Countries
Gender Differences
Higher education
Human
Human Sex Differences
Learner Engagement
Learning
Male
Males
Older adults
Participant satisfaction
Predictor Variables
Satisfaction
Statistical Analysis
Student Satisfaction
Student Surveys
Surface learning
Surveys
Transformative Learning
Undergraduate Students
Womens education
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