Predicting mortality in critically ill patients with hypertension using machine learning and deep learning models by Ziyang Zhang, Jiancheng Ye

“…Traditional prognostic tools often fall short in capturing the complex interactions between clinical variables in this high-risk population. …”
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Development of Interactive Learning Application CHEM-OWL (Substances and Their Changes) to Increase Students' Interest in Learning by M. Ilham Habiburrochman, Kriesna Kharisma Purwanto

“…The N-gain value of students' learning interest before and after being treated with the media was 0.57, which falls under the moderate category. …”
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Digital Learning Media in Interactive Multimedia Based on Inquiry Approach for Sociology Learning in High Schools by Yogi Pinilih, Triana Rejekiningsih, Akhmad Arif Musadad

“…Meanwhile, the beta testing results with the research subjects, the students, gave a rating of 87% which falls under the "Very Good" qualification. Thus, interactive multimedia with an inquiry-based approach is deemed suitable for use as a learning medium in sociology subjects. …”
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Application of STEADI tool kit in the prevention of falls in elderly patient in the Department of Cardiology (STEADI工具包在心内科老年患者跌倒预防中的应用研究) by CHE Hailin (车海林), YANG Yuting (杨雨婷), SONG Juju (宋菊菊), FENG Qianqian (冯倩倩), LIU Qian (刘倩)

“…The intervention group used the STEADI toolkit including education on fall prevention, gait and balance assessment, communication skills guidance, case learning, etc. …”
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Mediating role of online academic emotions between online presence and learning performance in blended learning environments by Xingqiao Li, Yinghua Ye

“…It was originally designed to create a highly engaging learning experience for students; however, in practice, it often falls short. …”
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Teaching Shakespeare through blended learning by Lesley Hawkes, Glen Thomas

“…This paper describes and discusses experimentation with the use of blended learning in teaching Shakespeare. Previous iterations of the subject in a traditional lecture and tutorial format had seen a decline in student attendance and a fall in student achievement at the higher grade levels. …”
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An Exploration of Consistency Learning with Data Augmentation by Connor Shorten, Taghi M. Khoshgoftaar

“…Deep Learning has achieved remarkable success with Supervised Learning. …”
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Metaphors Related to Out of School Learning by Ayşe Güler Küçükturan, Esra Betül Kölemen

“…Data were obtained from 131 pre-service teachers studying the 3rd year of the Department of Preschool Teacher of the University of Sakarya, in 2019-2020 fall semester of the academic year. Participants were asked to complete these sentences, “Out of School Learning is like……… Because………” Obtained metaphors were analyzed with content analysis with packaged program NVIVO 12. …”
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Advancing Neurodegenerative Disease Management: Technical, Ethical, and Regulatory Insights from the NeuroPredict Platform by Marilena Ianculescu, Lidia Băjenaru, Ana-Mihaela Vasilevschi, Maria Gheorghe-Moisii, Cristina-Gabriela Gheorghe

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Learning and cognition in highspeed decision making by Martin Krause, Wolfram Schulze, Stefan Schuster

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Synthesizing the Born rule with reinforcement learning by Rodrigo S. Piera, John B. DeBrota, Matthew B. Weiss, Gabriela B. Lemos, Jailson Sales Araújo, Gabriel H. Aguilar, Jacques L. Pienaar

“…In particular, the Born rule is understood to be a decision-making norm, an ideal which one should strive to meet even if usually falling short in practice. What is required for an agent to make decisions that conform to quantum mechanics? …”
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Development of Problem-Based Learning Model Learning Module To Improve Mathematical Communication and Curiosity of Grade 5 Students by Aunurrokhim Munawir, YL Sukestiyarno M.S., Sugilar Sugilar

“… This study aimed to examine the development process, outcomes, and impact of Problem-Based Learning (PBL) modules designed to enhance fifth-grade elementary students’ mathematical communication skills and curiosity in arithmetic. …”
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Predicting at-risk students in the early stage of a blended learning course via machine learning using limited data by Zahra Azizah, Tomoya Ohyama, Xiumin Zhao, Yuichi Ohkawa, Takashi Mitsuishi

“…We use a machine-learning classifier to compare two approaches: 1) The benchmark study, which uses data from the same academic year for both training and testing; and 2) a prospective study, which focuses on extrapolating a model trained on the previous fall semester to predict outcomes for the upcoming fall semester. …”
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Motivation to learn English in theological education. A Study of Student Motivation for Learning English at a Theological Seminary in Ukraine by Joshua TOKAR

“… This study was designed to determine what factors motivate students to learn English at an evangelical seminary in Ukraine. …”
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Developmental Research: An Android-Based Arabic Language Learning Application as a Means to Improve Middle School Students' Learning Outcomes by Yusra Al amin, Zughrofiyatun Najah

“…Therefore, the developed learning media is highly feasible. (3) The effectiveness test of the product falls into the category of moderately effective in small and large-scale trials, with percentages of 61.82% and 69.16%, respectively. (4) The difference in student learning outcomes, with an average pre-test score of 86 and a post-test score of 53, shows a significance value greater than the t-critical value (21.03845 > 1.699 at α = 0.05), which leads to the conclusion that the use of Android-based interactive learning media in the eighth grade can improve student learning outcomes. …”
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Balance equations for physics-informed machine learning by Sandor M. Molnar, Joseph Godfrey, Binyang Song

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Risk management system and intelligent decision-making for prefabricated building project under deep learning modified teaching-learning-based optimization. by Huazan Liu, Yukang He, Qichao Hu, Jianfei Guo, Lan Luo

“…This study establishes a model of prefabricated building project risk management system based on the Modified Teaching-Learning-Based-Optimization (MTLBO) algorithm and a prediction model of deep learning multilayer feedforward neural network (Backpropagation, BP neural network) to improve the requirements of risk management during the construction of large prefabricated building projects. …”
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Risk Assessment of Hip Fracture Based on Machine Learning by Alessio Galassi, José D. Martín-Guerrero, Eduardo Villamor, Carlos Monserrat, María José Rupérez

“…In order to improve this accuracy, this paper proposes the use of Machine Learning (ML) models trained with data from a biomechanical model that simulates a sideways-fall. …”
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Research on AIGC-Driven Personalized Mathematics Learning System by Wang Chenggang

“…This paper comprehensively explores the development, implementation, and impact of an AIGC (Artificial Intelligence-Generated Content)-driven personalized mathematics learning system. In an era where education faces increasingly diverse learning needs, traditional teaching methods often fall short of addressing individual differences. …”
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Humans learn generalizable representations through efficient coding by Zeming Fang, Chris R. Sims

“…Abstract Reinforcement learning theory explains human behavior as driven by the goal of maximizing reward. …”
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