Elham Akbari
Biographic Data
| ID | 10100240 |
|---|---|
| NAME | Elham Akbari |
| GIVEN NAMES | Elham |
| FAMILY NAME | Akbari |
| SIGNATURE | AKBARI E |
| AFFILIATIONS | Tarbiat Modares University |
| ORCID | 0000-0001-9285-6823 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
A cross-sectional study of teachers’ and students’ preferences for educational methods in the post-Covid-19 era
Introduction Educational paradigms and methods have evolved in recent years, particularly after the COVID-19 pandemic. The present study aimed to investigate teachers’ and students’ preferences for face-to-face, blended, and e-learning educational methods in the post-COVID-19 era. This study aims to investigate the attitudes of teachers and students toward three educational methods: face-to-face education, blended learning and e-learning. Methods…
Analyzing click data with AI
Background As the intersection of artificial intelligence (AI) and education deepens, predictive analytics using machine learning (ML) and deep learning (DL) models offer novel approaches to assessing student performance in online environments. However, challenges remain in accurately predicting high achievers and identifying students at risk due to limitations in traditional assessment models. This study explores the capabilities of these models…
No prominent works on this page.
Analyzing click data with AI
Background As the intersection of artificial intelligence (AI) and education deepens, predictive analytics using machine learning (ML) and deep learning (DL) models offer novel approaches to assessing student performance in online environments. However, challenges remain in accurately predicting high achievers and identifying students at risk due to limitations in traditional assessment models. This study explores the capabilities of these models…
A cross-sectional study of teachers’ and students’ preferences for educational methods in the post-Covid-19 era
Introduction Educational paradigms and methods have evolved in recent years, particularly after the COVID-19 pandemic. The present study aimed to investigate teachers’ and students’ preferences for face-to-face, blended, and e-learning educational methods in the post-COVID-19 era. This study aims to investigate the attitudes of teachers and students toward three educational methods: face-to-face education, blended learning and e-learning. Methods…
Artificial Intelligence (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Blended Learning (1 work) · Computer Science (1 work) · COVID-19 and Mental Health (1 work) · Data science (1 work) · E-Learning and Knowledge Management (1 work) · Educational technology (1 work) · Face-to-face (1 work) · Higher education (1 work)