Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Adults | 2 |
Models | 2 |
Problem Solving | 2 |
Attention | 1 |
Competence | 1 |
Correlation | 1 |
Foreign Countries | 1 |
Item Analysis | 1 |
Item Response Theory | 1 |
Learner Engagement | 1 |
Learning Analytics | 1 |
More ▼ |
Author
Bowen Wang | 1 |
Jinnie Shin | 1 |
Liu, Hongyun | 1 |
Mark J. Gierl | 1 |
Veldkamp, Bernard | 1 |
Wallace N. Pinto Junior | 1 |
Xiao, Yue | 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… | 2 |
What Works Clearinghouse Rating
Xiao, Yue; Veldkamp, Bernard; Liu, Hongyun – Educational Measurement: Issues and Practice, 2022
The action sequences of respondents in problem-solving tasks reflect rich and detailed information about their performance, including differences in problem-solving ability, even if item scores are equal. It is therefore not sufficient to infer individual problem-solving skills based solely on item scores. This study is a preliminary attempt to…
Descriptors: Problem Solving, Item Response Theory, Scores, Item Analysis
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