Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Evaluation Methods | 3 |
| Programming Languages | 3 |
| Academic Achievement | 2 |
| Accuracy | 2 |
| Computer Science Education | 2 |
| High School Students | 2 |
| Scores | 2 |
| Computer Software | 1 |
| Concept Mapping | 1 |
| Correlation | 1 |
| Efficiency | 1 |
| More ▼ | |
Author
| David Navarro-González | 1 |
| Fabia Morales-Vives | 1 |
| Judy C. R. Tseng | 1 |
| Koprinska, Irena | 1 |
| Li-Chen Cheng | 1 |
| PaaBen, Benjamin | 1 |
| Pere J. Ferrando | 1 |
| Picones, Gio | 1 |
| Wei Li | 1 |
| Yacef, Kalina | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Reports - Descriptive | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| High Schools | 3 |
| Secondary Education | 3 |
Audience
Location
| Taiwan | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Pere J. Ferrando; David Navarro-González; Fabia Morales-Vives – Educational and Psychological Measurement, 2025
The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…
Descriptors: Scores, Accuracy, Evaluation Methods, Factor Analysis
Li-Chen Cheng; Wei Li; Judy C. R. Tseng – Interactive Learning Environments, 2023
Programming ability is the core ability of this era and can be obtained and improved through practice. In this paper, an Automated Programming Assessment system based on Mastery learning and Peer competition (APAMP) was proposed and developed. APAMP allows students to practice repeatedly by providing immediate feedback after their programs are…
Descriptors: High School Freshmen, High School Seniors, Programming Languages, Foreign Countries
Picones, Gio; PaaBen, Benjamin; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2022
In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…
Descriptors: Prediction, Academic Achievement, Learning Analytics, Concept Mapping

Peer reviewed
Direct link
