Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Computer Science Education | 1 |
| Concept Formation | 1 |
| Error Patterns | 1 |
| Foreign Countries | 1 |
| High Achievement | 1 |
| Information Systems | 1 |
| Introductory Courses | 1 |
| Low Achievement | 1 |
| Management Systems | 1 |
| Personal Autonomy | 1 |
| Predictor Variables | 1 |
| More ▼ | |
Source
| Journal of Educational… | 1 |
Author
| Andallaza, Thor Collin S. | 1 |
| Armenta, Marc Lester V. | 1 |
| Castro, Francisco Enrique… | 1 |
| Dy, Thomas T. | 1 |
| Jadud, Matthew C. | 1 |
| Rodrigo, Ma. Mercedes T. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Philippines | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkRodrigo, Ma. Mercedes T.; Andallaza, Thor Collin S.; Castro, Francisco Enrique Vicente G.; Armenta, Marc Lester V.; Dy, Thomas T.; Jadud, Matthew C. – Journal of Educational Computing Research, 2013
In this article we quantitatively and qualitatively analyze a sample of novice programmer compilation log data, exploring whether (or how) low-achieving, average, and high-achieving students vary in their grasp of these introductory concepts. High-achieving students self-reported having the easiest time learning the introductory programming…
Descriptors: Programming, High Achievement, Introductory Courses, Qualitative Research
