Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Behavior Patterns | 2 |
| Data Use | 2 |
| Outcomes of Education | 2 |
| Academic Achievement | 1 |
| Academic Advising | 1 |
| Academic Persistence | 1 |
| College Entrance Examinations | 1 |
| College Freshmen | 1 |
| Data Analysis | 1 |
| Decision Making | 1 |
| Electronic Learning | 1 |
| More ▼ | |
Author
| Chen, Yu | 1 |
| Jelena Andelkovic | 1 |
| Jelena Andelkovic Labrovic | 1 |
| Marija Meršnik | 1 |
| Nikola Petrovic | 1 |
| Upah, Sylvester | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| ACT Assessment | 1 |
What Works Clearinghouse Rating
Jelena Andelkovic Labrovic; Nikola Petrovic; Jelena Andelkovic; Marija Meršnik – Journal of Computing in Higher Education, 2025
The focus of this study was on identifying patterns of student behavior to support data-informed decision-making which would then improve the learning experience and learning outcomes of online English language courses. Learning analytics approach (or more specifically cluster analysis) was used to identify engagement patterns in online learning.…
Descriptors: Electronic Learning, Online Courses, Behavior Patterns, Student Behavior
Chen, Yu; Upah, Sylvester – Journal of College Student Retention: Research, Theory & Practice, 2020
Science, Technology, Engineering, and Mathematics student success is an important topic in higher education research. Recently, the use of data analytics in higher education administration has gain popularity. However, very few studies have examined how data analytics may influence Science, Technology, Engineering, and Mathematics student success.…
Descriptors: STEM Education, Academic Advising, Data Analysis, Majors (Students)

Peer reviewed
Direct link
