Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 2 |
| Since 2006 (last 20 years) | 2 |
Descriptor
| Coding | 2 |
| Problem Solving | 2 |
| Troubleshooting | 2 |
| Assignments | 1 |
| Cognitive Processes | 1 |
| College Students | 1 |
| Computer Science Education | 1 |
| Computer Software | 1 |
| Data Analysis | 1 |
| Difficulty Level | 1 |
| Eye Movements | 1 |
| More ▼ | |
Author
| Elmi, Angelo F. | 1 |
| Gaševic, Dragan | 1 |
| Giannakos, Michail | 1 |
| Hoffman, Heather J. | 1 |
| Mangaroska, Katerina | 1 |
| Sharma, Kshitij | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
| District of Columbia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkHoffman, Heather J.; Elmi, Angelo F. – Journal of Statistics and Data Science Education, 2021
Teaching students statistical programming languages while simultaneously teaching them how to debug erroneous code is challenging. The traditional programming course focuses on error-free learning in class while students' experiences outside of class typically involve error-full learning. While error-free teaching consists of focused lectures…
Descriptors: Statistics Education, Programming Languages, Troubleshooting, Coding
Mangaroska, Katerina; Sharma, Kshitij; Gaševic, Dragan; Giannakos, Michail – Journal of Computer Assisted Learning, 2022
Background: Problem-solving is a multidimensional and dynamic process that requires and interlinks cognitive, metacognitive, and affective dimensions of learning. However, current approaches practiced in computing education research (CER) are not sufficient to capture information beyond the basic programming process data (i.e., IDE-log data).…
Descriptors: Cognitive Processes, Psychological Patterns, Problem Solving, Programming
