Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Data Analysis | 2 |
| Difficulty Level | 2 |
| Programming Languages | 2 |
| Accuracy | 1 |
| Behavior | 1 |
| Behavior Patterns | 1 |
| Classification | 1 |
| Computer Science Education | 1 |
| Computer Software | 1 |
| Correlation | 1 |
| Data | 1 |
| More ▼ | |
Author
| Atar, Hakan Yavuz | 1 |
| Brown, Neil C. C. | 1 |
| Costache, Alexandra-Lucia | 1 |
| Kölling, Michael | 1 |
| Saatcioglu, Fatima Munevver | 1 |
| Sekula, Maksymilian | 1 |
| Weill-Tessier, Pierre | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Brown, Neil C. C.; Weill-Tessier, Pierre; Sekula, Maksymilian; Costache, Alexandra-Lucia; Kölling, Michael – ACM Transactions on Computing Education, 2023
Objectives: Java is a popular programming language for use in computing education, but it is difficult to get a wide picture of the issues that it presents for novices; most studies look only at the types or frequency of errors. In this observational study, we aim to learn how novices use different features of the Java language. Participants:…
Descriptors: Novices, Programming, Programming Languages, Data
Saatcioglu, Fatima Munevver; Atar, Hakan Yavuz – International Journal of Assessment Tools in Education, 2022
This study aims to examine the effects of mixture item response theory (IRT) models on item parameter estimation and classification accuracy under different conditions. The manipulated variables of the simulation study are set as mixture IRT models (Rasch, 2PL, 3PL); sample size (600, 1000); the number of items (10, 30); the number of latent…
Descriptors: Accuracy, Classification, Item Response Theory, Programming Languages

Peer reviewed
Direct link
