Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Algorithms | 3 |
| Error Patterns | 3 |
| Undergraduate Students | 3 |
| Automation | 2 |
| Error Correction | 2 |
| Feedback (Response) | 2 |
| Majors (Students) | 2 |
| Computation | 1 |
| Computer Science Education | 1 |
| Correlation | 1 |
| Educational Benefits | 1 |
| More ▼ | |
Author
| Bei Cai | 1 |
| Ben-Zeev, Talia | 1 |
| Hong Fu | 1 |
| Ian Sanders | 1 |
| Olaperi Okuboyejo | 1 |
| Sigrid Ewert | 1 |
| Star, Jon R. | 1 |
| Yang Zheng | 1 |
| Yanjie Song | 1 |
| Ziyu He | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
| Higher Education | 2 |
| Postsecondary Education | 2 |
Audience
Location
| China | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Olaperi Okuboyejo; Sigrid Ewert; Ian Sanders – ACM Transactions on Computing Education, 2025
Regular expressions (REs) are often taught to undergraduate computer science majors in the Formal Languages and Automata (FLA) course; they are widely used to implement different software functionalities such as search mechanisms and data validation in diverse fields. Despite their importance, the difficulty of REs has been asserted many times in…
Descriptors: Automation, Feedback (Response), Error Patterns, Error Correction
Bei Cai; Ziyu He; Hong Fu; Yang Zheng; Yanjie Song – IEEE Transactions on Learning Technologies, 2025
Much research has applied automated writing evaluation (AWE) systems to English writing instruction; however, understanding how students internalize and apply this feedback to reduce writing errors is difficult, largely due to the personal and private nature of this process. Therefore, this research utilized eye-tracking technology to explore the…
Descriptors: Undergraduate Students, Majors (Students), Writing (Composition), Writing Evaluation
Peer reviewedBen-Zeev, Talia; Star, Jon R. – Cognition and Instruction, 2001
This study investigated whether undergraduate students encode spurious correlations in memory and exhibit them during the learning process leading to ineffectual problem solving. Findings suggested that even experienced students relied on surface-structure feature-algorithm correlations for solving new problems. Findings pose implications for…
Descriptors: Algorithms, Correlation, Encoding (Psychology), Error Patterns

Direct link
