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
Accuracy | 2 |
Models | 2 |
Prediction | 2 |
Academic Achievement | 1 |
Algorithms | 1 |
Artificial Intelligence | 1 |
Cognitive Ability | 1 |
College Students | 1 |
Correlation | 1 |
Educational Quality | 1 |
Graphs | 1 |
More ▼ |
Source
IEEE Transactions on Learning… | 2 |
Author
Chuanguo Ma | 1 |
Haibin Zhu | 1 |
Hua Ma | 1 |
Jia Wu | 1 |
Keqin Li | 1 |
Nan Dong | 1 |
Peiji Huang | 1 |
Wen Zhao | 1 |
Wensheng Tang | 1 |
Yuqi Tang | 1 |
Zhenchang Xia | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Descriptive | 2 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zhenchang Xia; Nan Dong; Jia Wu; Chuanguo Ma – IEEE Transactions on Learning Technologies, 2024
As an excellent means of improving students' effective learning, knowledge tracking can assess the level of knowledge mastery and discover latent learning patterns based on students' historical learning evaluation of related questions. The advantage of knowledge tracking is that it can better organize and adjust students' learning plans, provide…
Descriptors: Graphs, Artificial Intelligence, Multivariate Analysis, Prediction
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