Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Intelligent Tutoring Systems | 3 |
| Learning Processes | 3 |
| Models | 2 |
| Active Learning | 1 |
| Automation | 1 |
| Benchmarking | 1 |
| Case Studies | 1 |
| Comparative Analysis | 1 |
| Computer Software | 1 |
| Context Effect | 1 |
| Cooperative Learning | 1 |
| More ▼ | |
Source
| IEEE Transactions on Learning… | 3 |
Author
| Feng Hsu Wang | 1 |
| Gomez, Jorge E. | 1 |
| Hernandez, Velssy L. | 1 |
| Huete, Juan F. | 1 |
| Jiang, Yuncheng | 1 |
| Mao, Shun | 1 |
| Wang, Yizhao | 1 |
| Zhan, Jieyu | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
Education Level
Audience
Location
| Spain | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Feng Hsu Wang – IEEE Transactions on Learning Technologies, 2024
Due to the development of deep learning technology, its application in education has received increasing attention from researchers. Intelligent agents based on deep learning technology can perform higher order intellectual tasks than ever. However, the high deployment cost of deep learning models has hindered their widespread application in…
Descriptors: Learning Processes, Models, Man Machine Systems, Cooperative Learning
Mao, Shun; Zhan, Jieyu; Wang, Yizhao; Jiang, Yuncheng – IEEE Transactions on Learning Technologies, 2023
For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…
Descriptors: Intelligent Tutoring Systems, Learning Processes, Prediction, Prior Learning
Gomez, Jorge E.; Huete, Juan F.; Hernandez, Velssy L. – IEEE Transactions on Learning Technologies, 2016
The dynamics of the world today demands a change in traditional education paradigms to enable the creation of more efficient learning environments, where students will learn more effectively and will play a more active role in their education. They should interact with the knowledge at anytime-anywhere. In order to tackle this problem we should…
Descriptors: Active Learning, Telecommunications, Handheld Devices, Intelligent Tutoring Systems

Peer reviewed
Direct link
