EducationScientific Reports
DeepLMS: a deep learning predictive model for supporting online learning in the Covid-19 era
S. B. Dias, S. J. Hadjileontiadou, et al.
Discover DeepLMS, a groundbreaking deep learning model developed by Sofia B. Dias, Sofia J. Hadjileontiadou, José Diniz, and Leontios J. Hadjileontiadis that accurately predicts the quality of interaction with Learning Management Systems. With its impressive performance, including an average testing RMSE of less than 0.009, this model not only enhances learner experience but also equips educators with powerful evaluation tools.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Medicine and Health
Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
X. Xue, S. Chinnaperumal, et al.
Medicine and Health
A multimodal deep learning approach for the prediction of cognitive decline and its effectiveness in clinical trials for Alzheimer’s disease
C. Wang, H. Tachimori, et al.
Psychology
Do emotions conquer facts? A CCME model for the impact of emotional information on implicit attitudes in the post-truth era
Y. Yang, L. Xiu, et al.
Interdisciplinary Studies
A deep-learning model for predictive archaeology and archaeological community detection
A. Resler, R. Yeshurun, et al.
