Faculty Members' Attitude, Perceived Barriers, and Motivators toward Using E-Learning in University Education by Wessam A. Elsayed, Shaimaa M. Nageeb, Walaa N. Othman

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Multimedia-enhanced learning of volleyball rules in physical education and sports faculties by Ahmed Tayoush, Ahmad Hamad, Hamdi Chtourou

“…In light of potential limitations in traditional teaching methods, exploring innovative approaches becomes imperative to enhance the learning experience. …”
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Anomaly detection in encrypted network traffic using self-supervised learning by Sadaf Sattar, Shumaila Khan, Muhammad Ismail Khan, Ainur Akhmediyarova, Orken Mamyrbayev, Dinara Kassymova, Dina Oralbekova, Janna Alimkulova

“…Abstract Privacy and security in network communication have been enhanced via encryption and traditional anomaly detection methods are no longer effective because of their payload inspection. …”
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Chinese MOOC learners’ satisfaction and continuance intention: A mixed-method study by Xieling Chen, Di Zou, Gary Cheng, Haoran Xie

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Ulnar variance detection from radiographic images using deep learning by Sahar Nooh, Abdelrahim Koura, Mohammed Kayed

“…It outperformed previous deep learning-based methods in automatically segmenting the ulna and radius. …”
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Indoor Localization Using Visible Light Via Fusion of Multiple Classifiers by Xiansheng Guo, Sihua Shao, Nirwan Ansari, Abdallah Khreishah

“…Unlike the existing RSSs-based algorithms, several representative machine learning algorithms are adopted to train multiple classifiers based on these RSSs fingerprints. …”
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USE OF VIDEOGAMES AS LEARNING STRATEGIES IN MEDICAL STUDENTS: A SYSTEMATIC REVIEW by Iván HERNÁNDEZ-PORRAS, Diego-Oswaldo CAMACHO-VEGA, Luis Hernán CARRILLO-VÁRGUEZ

“…Objective: This systematic review aimed to evaluate the relevance of videogame-based strategies in cognitive learning outcomes among the medical students. …”
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EDUCATIONAL COWORKING AS A NEW ORGANIZATION FORMAT OF EDUCATIONAL SPACE OF SUPPLEMENTARY VOCATIONAL EDUCATION by Galina A. Ignatyeva, Oksana V. Tulupova, Andrey S. Molkov

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Artificial intelligence and machine learning in ocular oncology, retinoblastoma (ArMOR) by Vijitha S Vempuluru, Gaurav Patil, Rajiv Viriyala, Krishna K Dhara, Swathi Kaliki

“…Purpose: To test the accuracy of a trained artificial intelligence and machine learning (AI/ML) model in the diagnosis and grouping of intraocular retinoblastoma (iRB) based on the International Classification of Retinoblastoma (ICRB) in a larger cohort. …”
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Intelligent Stroke Disease Prediction Model Using Deep Learning Approaches by Chunhua Gao, Hui Wang

“…Finally, the proposed method is compared with commonly used machine learning-based classification algorithms such as decision tree, random forest, support vector machine, and artificial neural networks. …”
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Caplaire Learning Model: An Effective Strategy to Improve Science Literacy Skills by Lala Ananda

“…Findings indicate a significant improvement in students' scientific literacy following the implementation of the Caplaire model, with higher post-test scores and positive feedback from students and lecturers. The Caplaire model, which integrates inquiry-based learning and reflection, effectively engaged students and fostered a deeper understanding of scientific concepts. …”
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Transforming molecular diagnostics learning: the power of gamification in higher medical education by Hua Zhu, Wei Zeng, Li Chen

“…Participants engaged in a four-unit “Gene Detective” game, solving clinical cases through molecular techniques, earning skill points, and collaborative inquiry learning in group discussions.ResultsData from skill assessments, self-reported competency scales, final exam scores from the concurrent course, and post-course questionnaires revealed significant improvements in core competencies especially in critical thinking, curiosity, creativity and communication skill, with a positive correlation between game-based skill values and academic performance. …”
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Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites by Jian Zhang, Jingjing Qian, Pei Wang, Xuan Liu, Fuhao Zhang, Haiting Chai, Quan Zou

“…These innovative designs have been shown to successfully boost predictive performance and statistically outperforms current methods. Particularly, results on benchmark testing dataset demonstrate that SCANS consistently achieves low false positive rates, including low rates of cross‐predictions. …”
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The Role of Immersive Virtual Realities: Enhancing Science Learning in Higher Education by Talia Tene, Marco Guevara, Gabriel Moreano, John Vera, Cristian Vacacela Gomez

“…Particularly, 18 articles demonstrated a significant positive or increased impact on learning outcomes. …”
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Knee Osteoarthritis Detection and Classification Using Autoencoders and Extreme Learning Machines by Jarrar Amjad, Muhammad Zaheer Sajid, Ammar Amjad, Muhammad Fareed Hamid, Ayman Youssef, Muhammad Irfan Sharif

“…Methods: The proposed model differentiates between KOA-positive and KOA-negative images and categorizes the disease into its primary severity levels. …”
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Deep Learning Multi-Modal Melanoma Detection: Algorithm Development and Validation by Nithika Vivek, Karthik Ramesh

“…ObjectiveThis study aimed to present a novel multimodal deep learning-based technique to distinguish between melanoma and seborrheic keratosis. …”
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Machine learning to improve HIV screening using routine data in Kenya by Jonathan D. Friedman, Jonathan M. Mwangi, Kennedy J. Muthoka, Benedette A. Otieno, Jacob O. Odhiambo, Frederick O. Miruka, Lilly M. Nyagah, Pascal M. Mwele, Edmon O. Obat, Gonza O. Omoro, Margaret M. Ndisha, Davies O. Kimanga

“…In this study, we applied machine learning to routine programme data from Kenya's EMR to predict the probability that an individual seeking care is undiagnosed HIV positive and should be prioritized for testing. …”
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Predicting mortgage credit defaults in morocco using machine learning approaches by Amine Hade, Mohamed Elhia

“…From a simple model using logistic regression to modern and advanced models based on ensemble methods, ten different models were explored. …”
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The use of a workbook as an efficient didactic means of teaching Russian in secondary vocational education organizations by L. M. Gareeva, A. V. Malkina, T. V. Mandzhieva

“…The purpose of the study is to confirm the effectiveness and expediency of a workbook use as a didactic tool for self-development of educational material within the framework of applying competence-based and activity-based approaches to learning.Materials and methods. …”
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A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

“…Based on evaluation metrics, the AdaBoost model was identified as the best-performing model, achieving an accuracy of 97.45%, an F1 score of 97.7%, and the Receiver Operating Characteristics Area Under the Curve (ROC-AUC) with a higher true positive rate and a lower false positive rate. …”
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