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A systematic review of research on cheating in online exams from 2010 to 2021
In recent years, online learning has received more attention than ever before. One of the
most challenging aspects of online education is the students' assessment since academic …
most challenging aspects of online education is the students' assessment since academic …
[HTML][HTML] Leveraging AI in e-learning: Personalized learning and adaptive assessment through cognitive neuropsychology—A systematic analysis
C Halkiopoulos, E Gkintoni - Electronics, 2024 - mdpi.com
This paper reviews the literature on integrating AI in e-learning, from the viewpoint of
cognitive neuropsychology, for Personalized Learning (PL) and Adaptive Assessment (AA) …
cognitive neuropsychology, for Personalized Learning (PL) and Adaptive Assessment (AA) …
Students' perception towards e-learning during COVID-19 pandemic in India: An empirical study
The educational system across the world has immensely been affected due to outbreak of
COVID-19; it forced the shut down of educational institutions, which adversely affected …
COVID-19; it forced the shut down of educational institutions, which adversely affected …
Neural Correlate-Based E-Learning Validation and Classification Using Convolutional and Long Short-Term Memory Networks.
The COVID-19 pandemic has precipitated an unprecedented surge in the proliferation of
online E-learning platforms, designed to cater to a wide array of subjects across all age …
online E-learning platforms, designed to cater to a wide array of subjects across all age …
Predicting student satisfaction of emergency remote learning in higher education during COVID-19 using machine learning techniques
IMK Ho, KY Cheong, A Weldon - Plos one, 2021 - journals.plos.org
Despite the wide adoption of emergency remote learning (ERL) in higher education during
the COVID-19 pandemic, there is insufficient understanding of influencing factors predicting …
the COVID-19 pandemic, there is insufficient understanding of influencing factors predicting …
Electroencephalogram-based deep learning framework for the proposed solution of e-learning challenges and limitations
There is a high surge in usage of online e-learning platforms due to the current ongoing
COVID-19 scenario. There are specific problems that persist in the current e-learning online …
COVID-19 scenario. There are specific problems that persist in the current e-learning online …
Measuring project team performance: a review and conceptualization
Performance measurement has been a central topic of study in project management
research for many years. However, the literature on project team performance measurement …
research for many years. However, the literature on project team performance measurement …
Determining the e-learning readiness of higher education students: A study during the COVID-19 pandemic
The low readiness of university students to implement e-learning during the COVID-19
pandemic is a worrying issue. Lack of motivation and satisfaction in learning coupled with …
pandemic is a worrying issue. Lack of motivation and satisfaction in learning coupled with …
Components of computational thinking in citizen science games and its contribution to reasoning for complexity through digital game-based learning: A framework …
Education has undergone many changes in teaching and learning, intensified by the
significant technological developments that have responded to the fourth industrial …
significant technological developments that have responded to the fourth industrial …
Investigation of emerging trends in the e-learning field using latent dirichlet allocation
E-learning studies are becoming very important today as they provide alternatives and
support to all types of teaching and learning programs. The effect of the COVID-19 pandemic …
support to all types of teaching and learning programs. The effect of the COVID-19 pandemic …