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Elham Akbari

Biographic Data

ID10100240
NAMEElham Akbari
GIVEN NAMESElham
FAMILY NAMEAkbari
SIGNATUREAKBARI E
AFFILIATIONSTarbiat Modares University
ORCID0000-0001-9285-6823
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX0
  • A cross-sectional study of teachers’ and students’ preferences for educational methods in the post-Covid-19 era

    Open Access•Elham Akbari•ARTICLE•Frontiers in Education•2025

    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

    Open Access•Mahdi-Reza Borna, Hanan Saadat et al.•ARTICLE•Frontiers in Education•2024

    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

    Open Access•Mahdi-Reza Borna, Hanan Saadat et al.•ARTICLE•Frontiers in Education•2024

    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

    Open Access•Elham Akbari•ARTICLE•Frontiers in Education•2025

    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)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae