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
| Algorithms | 2 |
| Artificial Intelligence | 2 |
| Electronic Learning | 2 |
| Accuracy | 1 |
| Algebra | 1 |
| Automation | 1 |
| Communities of Practice | 1 |
| Error of Measurement | 1 |
| High School Seniors | 1 |
| Mathematics Achievement | 1 |
| Prediction | 1 |
| More ▼ | |
Source
| Interactive Learning… | 2 |
Author
| Wanli Xing | 2 |
| Bo Pei | 1 |
| Chenglu Li | 1 |
| Hanxiang Du | 1 |
| Walter Leite | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| High Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkHanxiang Du; Wanli Xing; Bo Pei – Interactive Learning Environments, 2023
Participating in online communities has significant benefits to students learning in terms of students' motivation, persistence, and learning outcomes. However, maintaining and supporting online learning communities is very challenging and requires tremendous work. Automatic support is desirable in this situation. The purpose of this work is to…
Descriptors: Electronic Learning, Communities of Practice, Automation, Artificial Intelligence
Chenglu Li; Wanli Xing; Walter Leite – Interactive Learning Environments, 2024
As instruction shifts away from traditional approaches, online learning has grown in popularity in K-12 and higher education. Artificial intelligence (AI) and learning analytics methods such as machine learning have been used by educational scholars to support online learners on a large scale. However, the fairness of AI prediction in educational…
Descriptors: Artificial Intelligence, Prediction, Mathematics Achievement, Algorithms
