Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Grade Point Average | 3 |
Psychological Patterns | 3 |
Study Habits | 3 |
Foreign Countries | 2 |
Sleep | 2 |
Undergraduate Students | 2 |
Academic Achievement | 1 |
Age Differences | 1 |
Anxiety | 1 |
Artificial Intelligence | 1 |
Classification | 1 |
More ▼ |
Author
Accordino, Michael P. | 1 |
Bates, Julie K. | 1 |
Hewes, Robert L. | 1 |
Kamtsios, Spiridon | 1 |
Karagiannopoulou, Evangelia | 1 |
Milienos, Fotios S. | 1 |
Mohammad Al-Oudat | 1 |
Rentzios, Christos | 1 |
Seif Hashem Al-Azzam | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Higher Education | 3 |
Postsecondary Education | 2 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
Approaches to Studying… | 1 |
What Works Clearinghouse Rating
Seif Hashem Al-Azzam; Mohammad Al-Oudat – Educational Process: International Journal, 2025
Background/purpose: University students in Jordan face numerous challenges that affect their lifestyle on campus and academic performance. The most common challenges can be summarized into two important categories: psychological and academic factors. Psychological factors, such as anxiety levels and daily sleep duration, and academic factors such…
Descriptors: Artificial Intelligence, Technology Uses in Education, Classification, Prediction
Karagiannopoulou, Evangelia; Milienos, Fotios S.; Kamtsios, Spiridon; Rentzios, Christos – Educational Psychology, 2020
The study aims at investigating students' learning/defence profiles. It also explores students' profiles during different years of study. Participants comprised of 425 undergraduates. They completed the 'Approaches to Study and Skills Inventory' and the 'Defense Style Questionnaire'. The students' academic achievement was measured through grade…
Descriptors: Cognitive Style, Profiles, Measures (Individuals), Study Habits
Bates, Julie K.; Accordino, Michael P.; Hewes, Robert L. – Journal of College Student Development, 2010
Hierarchical regression analysis was used to test the hypothesis that specific functional factors of marijuana use would predict past 30-day marijuana use in 425 college students more precisely than demographic variables alone. This hypothesis was confirmed. Functional factors of personal/physical enhancement as well as activity enhancement were…
Descriptors: Undergraduate Students, Graduate Students, Marijuana, Hypothesis Testing