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
| Learner Engagement | 2 |
| Sequential Learning | 2 |
| Task Analysis | 2 |
| Adults | 1 |
| Artificial Intelligence | 1 |
| Attention | 1 |
| Coding | 1 |
| Competence | 1 |
| Computer Science Education | 1 |
| Difficulty Level | 1 |
| Foreign Countries | 1 |
| More ▼ | |
Author
| Bowen Wang | 1 |
| Ishihara, Makio | 1 |
| Jinnie Shin | 1 |
| Mark J. Gierl | 1 |
| Rattanachinalai, Pongpun | 1 |
| Wallace N. Pinto Junior | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
| South Korea | 1 |
| United Kingdom | 1 |
| United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
| Program for the International… | 1 |
What Works Clearinghouse Rating
Jinnie Shin; Bowen Wang; Wallace N. Pinto Junior; Mark J. Gierl – Large-scale Assessments in Education, 2024
The benefits of incorporating process information in a large-scale assessment with the complex micro-level evidence from the examinees (i.e., process log data) are well documented in the research across large-scale assessments and learning analytics. This study introduces a deep-learning-based approach to predictive modeling of the examinee's…
Descriptors: Prediction, Models, Problem Solving, Performance
Ishihara, Makio; Rattanachinalai, Pongpun – Education and Information Technologies, 2022
This paper designs and develops a computer programming learning system for total beginners and those who have no programming experience. The traditional computer programming learning systems require prior knowledge about variables, their types, operators for arithmetic calculations and relational calculations etc., for adopting a wide range of…
Descriptors: Computer Science Education, Programming, Novices, Task Analysis

Peer reviewed
Direct link
