Personalized learning path optimization based on enhanced deep neural network: higher education teaching model integrating learner behavior and cognitive style
Abstract As information technology and artificial intelligence advance rapidly, personalized learning has emerged as a key approach to enhancing teaching quality and learning outcomes in higher education. Current research considers behavior or cognitive style separately, lacks effective integration,...
Saved in:
| Main Authors: | Xiaomei Ding, Huaibao Ding, Fei Zhou, Lihong Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-08-01
|
| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00467-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Unmanned Surface Vessel Cluster Path Planning Based on Deep Reinforcement Learning
by: Manjiang YU, et al.
Published: (2025-04-01) -
TRAINING OF THE FUTURE INTERPRETERS’ WORKING MEMORY
by: Antonina V. Prokopenko, et al.
Published: (2021-12-01) -
Predicting user's movement path in indoor environments using the stacked deep learning method and the fuzzy soft‐max classifier
by: Masoumeh Bourjandi, et al.
Published: (2022-07-01) -
Simulation and Empirical Studies of Long Short-Term Memory Performance to Deal with Limited Data
by: Khusnia Nurul Khikmah, et al.
Published: (2025-05-01) -
ILSTMA: Enhancing Accuracy and Speed of Long-Term and Short-Term Memory Architecture
by: Zongyu Ming, et al.
Published: (2025-03-01)