Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 2 |
Descriptor
Algorithms | 2 |
Educational Quality | 2 |
Prediction | 2 |
Academic Achievement | 1 |
Accuracy | 1 |
Artificial Intelligence | 1 |
Audio Equipment | 1 |
Automation | 1 |
Classification | 1 |
Cognitive Ability | 1 |
College Students | 1 |
More ▼ |
Source
IEEE Transactions on Learning… | 2 |
Author
Haibin Zhu | 1 |
Hua Ma | 1 |
Keqin Li | 1 |
Ling Chen | 1 |
Linyu Deng | 1 |
Lishan Zhang | 1 |
Peiji Huang | 1 |
Sixv Zhang | 1 |
Wen Zhao | 1 |
Wensheng Tang | 1 |
Yuqi Tang | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Lishan Zhang; Linyu Deng; Sixv Zhang; Ling Chen – IEEE Transactions on Learning Technologies, 2024
With the popularity of online one-to-one tutoring, there are emerging concerns about the quality and effectiveness of this kind of tutoring. Although there are some evaluation methods available, they are heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction quality automatically…
Descriptors: Automation, Classification, Artificial Intelligence, Tutoring
Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement