Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Algorithms | 2 |
| Computer Literacy | 2 |
| Artificial Intelligence | 1 |
| Computation | 1 |
| Educational Assessment | 1 |
| Females | 1 |
| Foreign Countries | 1 |
| Generalizability Theory | 1 |
| Information Literacy | 1 |
| Models | 1 |
| Prediction | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 2 |
| Speeches/Meeting Papers | 2 |
| Journal Articles | 1 |
Education Level
| Secondary Education | 1 |
Audience
| Researchers | 1 |
Location
| Denmark | 1 |
| Finland | 1 |
| France | 1 |
| Germany | 1 |
| Luxembourg | 1 |
| Portugal | 1 |
| South Korea | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zexuan Pan; Maria Cutumisu – AERA Online Paper Repository, 2023
Computational thinking (CT) is a fundamental ability for learners in today's society. Although CT assessments and interventions have been studied widely, little is known about CT predictions. This study predicted students' CT achievement in the ICILS 2018 using five machine learning models. These models were trained on the data from five European…
Descriptors: Computation, Thinking Skills, Artificial Intelligence, Prediction
Peer reviewedAnderson, Ronald E. – Journal of Educational Computing Research, 1987
Results from the 1979 Minnesota Computer Literacy Assessment show that eighth- and eleventh-grade females perform better than males in some specific areas of programing, i.e., those that involve problem analysis and algorithmic application where the problems are expressed verbally rather than mathematically. (Author/LRW)
Descriptors: Algorithms, Computer Literacy, Educational Assessment, Females

Direct link
