Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Computer Assisted Testing | 2 |
| Correlation | 2 |
| Foreign Countries | 2 |
| Automation | 1 |
| Comparative Analysis | 1 |
| Computer Science Education | 1 |
| Cues | 1 |
| Difficulty Level | 1 |
| Educational Benefits | 1 |
| Error Correction | 1 |
| Error Patterns | 1 |
| More ▼ | |
Source
| Journal of Educational… | 2 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| High Schools | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
| China | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkWang, Zhen; Cao, Yang; Gong, Shaoying – Journal of Educational Computing Research, 2023
Although learner characteristics have been identified as important moderator variables for feedback effectiveness, the question of why learners benefit differently from feedback has only received limited attention. In this study, we investigated: (1) whether learners' dominant goal orientation moderated the effects of computer-based elaborated…
Descriptors: Goal Orientation, Feedback (Response), Cues, Student Characteristics
An Investigation of High School Students' Errors in Introductory Programming: A Data-Driven Approach
Qian, Yizhou; Lehman, James – Journal of Educational Computing Research, 2020
This study implemented a data-driven approach to identify Chinese high school students' common errors in a Java-based introductory programming course using the data in an automated assessment tool called the Mulberry. Students' error-related behaviors were also analyzed, and their relationships to success in introductory programming were…
Descriptors: High School Students, Error Patterns, Introductory Courses, Computer Science Education
