Deep learning-based strategies for evaluating and enhancing university teaching quality
The education sector currently faces several challenges, including the subjectivity of evaluation methods, uniformity of data, and a lack of real-time feedback. This study aims to address these issues by leveraging deep learning techniques, specifically Convolutional Neural Networks (CNNs), to accur...
Saved in:
Main Author: | Ying Gao |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-06-01
|
Series: | Computers and Education: Artificial Intelligence |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666920X25000025 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Towards Deep Learning in Online Courses: A Case Study in Cross-Pollinating Universal Design for Learning and Dialogic Teaching
by: Qiongli Zhu, et al.
Published: (2024-09-01) -
IMPLEMENTATION OF INNOVATIVE TEACHING METHODS ON ENHANCING QUALITY TEACHING AND LEARNING IN SECONDARY SCHOOLS IN MOROGORO TANZANIA
by: George John
Published: (2024-12-01) -
Modification of Teaching/Learning Strategies of University Teaching Staff
by: O. A. Dyomina, et al.
Published: (2020-07-01) -
Student Evaluation of Teaching: More Harm than Good?
by: M. O. Abramova, et al.
Published: (2023-09-01) -
Exploring teachers’ strategies in teaching writing for young learners
by: Hani Elmahida, et al.
Published: (2021-11-01)