Improving Students’ Speaking Skill through Play-Based Learning by Aan Andreas, Regina Regina, Dwi Riyanti

“…The students were more engaged in learning when the lesson presented involved games, and they also put more concerned about their assignments, attendance, and activities during the learning process. …”
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Rare and Undiagnosed Disease: A Learning Program for Nurses and Midwives by Sue Baker, Kaila Stevens, Dale Pugh

“…This paper presents a newly developed online learning program currently designed to meet the learning objectives of nurses and midwives and rare and undiagnosed disease. …”
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Psychometrics of an Elo-based large-scale online learning system by Hanke Vermeiren, Joost Kruis, Maria Bolsinova, Han L.J. van der Maas, Abe D. Hofman

“…This method proves to be highly advantageous in online learning environments. Computerized adaptive practice (CAP) endeavors to present learners with items that are well-suited to their individual ability levels, with the ultimate goal of enhancing motivation and optimizing learning outcomes. …”
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THE TASK OF SYNTHESIS OF INDIVIDUAL CURRICULUMS IN THE SPACE OF VIRTUAL LEARNING GROUPS by Christina A. Denks, Yury Yu. Yakunin, Darya I. Yareshchenko

“…The approach of educational planning and organization of educational process is offered to provide students the ability to select and adjust trajectories of learning. The mathematical description of curriculum and algorithm of synthesis individual curriculums are presented. …”
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Contributions of associative and non-associative learning to the dynamics of defensive ethograms by Quan-Son Eric Le, Daniel Hereford, Chandrashekhar D Borkar, Zach Aldaco, Julia Klar, Alexis Resendez, Jonathan P Fadok

“…Defensive behavior changes based on threat intensity, proximity, and context of exposure, and learning about danger-predicting stimuli is critical for survival. …”
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Performance of deep-learning-based approaches to improve polygenic scores by Martin Kelemen, Yu Xu, Tao Jiang, Jing Hua Zhao, Carl A. Anderson, Chris Wallace, Adam Butterworth, Michael Inouye

“…To infer the amount of nonlinearity present in a phenotype, we also present a framework using neural-networks, which controls for the potential confounding effect of linkage disequilibrium. …”
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Energy-Based Exploration for Reinforcement Learning of Underactuated Mechanical Systems by Jeroen Taets, Tom Lefebvre, Frederik Ostyn, Guillaume Crevecoeur

“…Reinforcement Learning (RL) for underactuated mechanical systems presents unique challenges due to the limited control inputs and complex dynamics of the system. …”
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The features of Chinese students’ integration into the learning environment of Russian universities by M. A. Galaguzova, A. V. Shvetsova, Wei Zhang

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Intelligent deep learning model for targeted cancer drug delivery by Islam R. Kamal, Saied M. Abd El-atty, S. F. El-Zoghdy, Randa F. Soliman

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Personal Data Recognition Using a Deep Learning Model by Nikita Babak

“…However, recognizing personal data for protection presents a significant challenge, given the diverse nature of personal data attributes, such as names and phone numbers, which can be present in various formats like tables or unstructured texts. …”
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Machine Learning with Evolutionary Parameter Tuning for Singing Registers Classification by Tales Boratto, Gabriel de Oliveira Costa, Alexsandro Meireles, Anna Klara Sá Teles Rocha Alves, Camila M. Saporetti, Matteo Bodini, Alexandre Cury, Leonardo Goliatt

“…Recent research has explored machine-learning (ML) techniques to analyze singing-voice characteristics. …”
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Automatically generated language learning exercises for Finno-Ugric languages by Zsanett Ferenczi

“…In this paper, a language learning application is presented that is intended to help learners of Finnish and Hungarian (with Hungarian and Finnish L1, respectively) acquire new vocabulary items, as well as practice some grammar aspects that according to surveys are considered difficult by learners of these languages with the other Finno-Ugric language being the learner’s native tongue, while alleviating the need to create these exercises manually. …”
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Study of machine learning techniques for outcome assessment of leptospirosis patients by Andreia Ferreira da Silva, Karla Figueiredo, Igor W. S. Falcão, Fernando A. R. Costa, Marcos César da Rocha Seruffo, Carla Cristina Guimarães de Moraes

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Ambiguity-aware semi-supervised learning for leaf disease classification by Tri-Cong Pham, Tien-Nam Nguyen, Van-Duy Nguyen

“…To tackle the problem, we propose an Ambiguity-Aware Semi-Supervised Learning method for Leaf Disease Classification. Specifically, we present a per-disease ambiguity rejection algorithm that eliminates ambiguous results, thereby enhancing the precision of pseudo labels for the subsequent semi-supervised training step and improving the precision of the final classifier. …”
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The Paradigmatic Approach and Models of Adult Learning in Modern Higher Education by Vira Vykhrushch

“…The andragogical model is presented as a worldview, the system of alternative ideas, business model that meets the characteristics of a learning situation. …”
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Effectiveness of Simulation Based Learning in Medicolegal Training of Medical Officers by Talha Naeem, Ambreen Usmani

“… Objective: The present study is aimed to compare the effectiveness of simulation-based learning with didactic lecturing in medico-legal training of medical officers.  …”
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Deep Learning Methods and UAV Technologies for Crop Disease Detection by S. G. Mudarisov, I. R. Miftakhov

“…It focuses on evaluating deep learning techniques and unmanned aerial vehicles for crop disease detection. …”
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Deep representation learning using layer-wise VICReg losses by Joy Datta, Rawhatur Rabbi, Puja Saha, Aniqua Nusrat Zereen, M. Abdullah-Al-Wadud, Jia Uddin

“…Abstract This paper presents a layer-wise training procedure of neural networks by minimizing a Variance-Invariance-Covariance Regularization (VICReg) loss at each layer. …”
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Migraine triggers, phases, and classification using machine learning models by Anusha Reddy, Ajit Reddy

“…In many cases, patients with migraine are often misdiagnosed as regular headaches.MethodsIn this article, we present a study on migraine, covering known triggers, different phases, classification of migraine into different types based on clinical studies, and the use of various machine learning algorithms such as logistic regression (LR), support vector machine (SVM), random forest (RF), and artificial neural network (ANN) to learn and classify different migraine types. …”
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CONCEPT AND STRUCTURE OF AUTOMATED SYSTEM FOR MONITORING STUDENT LEARNING QUALITY by M. Yu. Kataev, A. M. Korikov, V. S. Mkrttchian

“…A block diagram of the learning process is presented; it demonstrates organization and management of the learning process in a higher educational institution. …”
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