Design and Validation of the Flipped‐Learning Assessment Scale for Undergraduate Nursing Education by Fernando Urcola‐Pardo, Ana Belen Subiron‐Valera, Isabel Anton‐Solanas, Aintzane Orkaizagirre‐Gomara, Dolores Torres‐Enamorado, Juan Diego Gonzalez‐Sanz

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THE CHALLENGE OF ONLINE LANGUAGE LEARNING AND TEACHING: INCLUSIVE CONTENT AND MOTIVATION ENHANCEMENT by MA Liisa Wallenius, Ieva Brazauskaite-Zubaviciene

Subjects: “…students’ learning autonomy…”
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Editorial: Integrating machine learning with physics-based modeling of physiological systems by Jae H. Lee, Hao Gao, Michael Döllinger

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Defect modeling in semiconductors: the role of first principles simulations and machine learning by Md Habibur Rahman, Arun Mannodi-Kanakkithodi

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SELF-LEARNING OF PARAMETER WEIGHTS FOR TASK SCHEDULING IN GRID COMPUTING ENVIRONMENT by Donatas Sandonavičius, Aušra Gadeikytė, Giedrius Paulikas, Mindaugas Vaitkūnas, Gytis Vilutis, Gintaras Butkus

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Towards automated recipe genre classification using semi-supervised learning. by Nazmus Sakib, G M Shahariar, Md Mohsinul Kabir, Md Kamrul Hasan, Hasan Mahmud

“…Furthermore, we have demonstrated traditional machine learning, deep learning and pre-trained language models to classify the recipes into their corresponding genre and achieved an overall accuracy of 98.6%. …”
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The Impact of GPT Models on Education: Enhancing Learning Outcomes and Addressing Challenges by Yang Nuoya

“…The research delves into how GPT can drive personalized learning experiences, automate routine administrative tasks, and provide immediate, adaptive feedback to students. …”
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Bregman divergences for physically informed discrepancy measures for learning and computation in thermomechanics by Andrieux, Stéphane

“…With view on the context of convex thermomechanics, we propose tools based on the concept of Bregman divergence, a notion introduced in the 1960s and used in learning and optimization as well. This study is motivated by the need of “discrepancy measures” between physically constrained fields that are used both in traditional algorithms, analysis methods and data driven modelling or applications as well.We give also a characterization of symmetrical Bregman divergences through their generating functions which can only be quadratic forms. …”
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Time Series Analysis of Production Decline in Carbonate Reservoirs with Machine Learning by Liqiang Wang, Mingji Shao, Gen Kou, Maoxian Wang, Ruichao Zhang, Zhengzheng Wei, Xiao Sun

“…For example, prediction errors based on multiple regression machine learning methods are relatively large, and deep learning sample requirements and the actual conditions of reservoir management do not match. …”
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Corrigendum to “Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods” by M. Timur Cihan

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Graph attention, learning 2-opt algorithm for the traveling salesman problem by Jia Luo, Herui Heng, Geng Wu

“…The experimental results show that our method outperforms the compared learning-based algorithms and traditional heuristic methods.…”
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USING E-LEARNING TO PREVENT INFORMATIONAL STRESS OF EMPLOYEES WORKING REMOTELY by Oleksandra Pinchuk, Nataliia I. Pinchuk, Olena I. Bondarchuk, Valentyna V. Balakhtar, Kateryna S. Pavlenok

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A Study on Students Acquisition of IT Knowledge and Its Implication on M-Learning by A. Balavivekanandhan, S. Arulchelvan

“…This has led to usage of mobiles even in the academic context for further learning. Although the advantages of m-learning (mobile learning) are visible, studies are required to address the aspects that shape its virtual expectations. …”
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Usage of Machine Learning for Policy Projection of Bio Solar Consumption in Indonesia by Atiq Mujtaba, Komarudin

Subjects: “…machine learning…”
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Learning English in the ‘shadow’: Patterns and implications of English private tutoring in Vietnam by Lan Thi Huong Nguyen, Thao Vu

Subjects: “…english teaching and learning…”
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Design Method of Infrared Stealth Film Based on Deep Reinforcement Learning by Kunyuan Zhang, Delian Liu, Shuo Yang

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Transient State Estimation for Power System Based on Deep Transfer Learning by JIAO Hao, ZHAO Jiawei, WEI Lei, ZHU Weiping, MA Zhoujun, ZANG Haixiang

Subjects: “…power system fault|digital twin|transient state estimation|deep transfer learning|small sample…”
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A Systematic Review of Deep Learning Methods Applied to Ocular Images by Oscar Julian Perdomo Charry, Fabio Augusto González Osorio

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Development of Interactive Learning Media Using Google Sites for Thermochemistry Courses by Restika Pamungkasih, Erlina Erlina, Ira Lestari, Tulus Junanto, Maria Ulfah, Dinna Nina Mohd Nizam

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Customization of health insurance premiums using machine learning and explainable AI by Manohar Kapse, Vinod Sharma, Rutuj Vidhale, Varun Vellanki

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