Network Analysis on the Symmetric Coordination in a Reinforcement-Learning-Based Minority Game by Chunqiang Shao, Wenjia Rao, Wangfang Xu, Longbao Wei

“…The Minority Game (MG) is a paradigmatic model in econophysics, widely used to study inductive reasoning and self-organization in multi-agent systems. …”
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Epistolution: a new principle necessary to a learning-first theory of life by Charlie Munford

“…Natural selection acting on blind variations produces phenotypes with heritable traits, one of which may be natural learning. The aim of learning, then, is solving problems related to survival and reproduction. …”
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Character Transformation Through the Implementation of the Radec Learning Model at the Elementary School Level by Nana Suryana, Wahyu Sopandi, Dasim Budimansyah, Yadi Ruyadi

“… This study aims to explore character transformation through the implementation of the RADEC (Read, Answer, Discuss, Explain, Create) learning model at the elementary school level. The research was conducted in Cluster III, Pagerageung District, Tasikmalaya Regency. …”
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Attributes of an Effective Mentor in a Learning Community: Comparison of Mentor and Mentee Perspectives by E. Whitney Pollio, Laila Abbas, Waqas Haque, James Wagner, Carol S. North, David E. Pollio

“…Acknowledgement of the importance of students interacting with faculty in a social context has prompted the development of Learning Communities (LCs) in many medical schools. …”
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Social Learning Theory in Clinical Setting: Connectivism, Constructivism, and Role Modeling Approach by Amir Khushk, Muhammad Ihsan Dacholfany, Dindin Abdurohim, Nasir Aman

“…This article aims to analyze the possible role of connectivism, constructivism, and, role modeling as learning theories in terms of dealing with useful student learning instructional strategies. …”
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Key informants’ perspectives on simulation-based learning experiences: a qualitative study by Liz Kingston, Kathleen Markey, Owen Doody, Louise Murphy, Pauline Meskell, Therese Hennessy, Mairead Moloney

“…In this study, simulation-based learning experiences (SBLEs) were used to redress missed learning opportunities in real-life settings during restrictive conditions. …”
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Specialists’ learning from facilitating group peer telementoring: a qualitative study by R. Sam Larson, James W. Dearing, Nagesh Rao, Caryn E. Medved

“…An inductive multi-phase thematic analysis was used to identify what medical specialists were learning and from whom. …”
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Supporting complex skill learning with digital tools in tertiary education: educator’s perspective by Bernarda Letnar, André Klostermann, Mirko Schmidt

“…Understanding the principles underlying the learning of complex sports skills remains limited. …”
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Learning causal networks using inducible transcription factors and transcriptome‐wide time series by Sean R Hackett, Edward A Baltz, Marc Coram, Bernd J Wranik, Griffin Kim, Adam Baker, Minjie Fan, David G Hendrickson, Marc Berndl, R Scott McIsaac

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Interpretable Machine Learning Models for Predicting Cesarean Delivery in Class III Obese Cohorts by Rachel Bennett, Stephanie L. Pierce, Talayeh Razzaghi

“…Although previous research has explored machine learning models to predict cesarean likelihood, there has been limited focus on class III obese women (BMI <inline-formula> <tex-math notation="LaTeX">$\geq 40$ </tex-math></inline-formula>) who have undergone labor induction. …”
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TABLE TENNIS TRAINING PROGRAM DURING QUARANTINE OR DISTANCE LEARNING FOR STUDENTS AT SOFIA UNIVERSITY by V. Tsvetkova

“…PURPOSE: The purpose of this study is to develop a program for training table tennis at home during COVID19 quarantine or distance learning. METHODS: analysis, synthesis, induction, deduction. …”
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Pembentukan Model Pohon Keputusan pada Database Car Evaluation Menggunakan Statistik Chi-Square by Retno Maharesi

“…This secondary data was obtained from the UCL machine learning website. The purpose of this research is to produce a prototype algorithm for obtaining an inductive decision tree based on Chi-square statistics. …”
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AI Reasoning in Deep Learning Era: From Symbolic AI to Neural–Symbolic AI by Baoyu Liang, Yuchen Wang, Chao Tong

“…We then systematically review recent advances—including Differentiable Logic Programming, abductive learning, program induction, logic-aware Transformers, and LLM-based symbolic planning—highlighting their technical mechanisms, capabilities, and limitations. …”
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Precision in practice: exploring the impact of ai and machine learning on ultrasound guided regional anaesthesia by Noor Ul Huda Bhatti, Syed Ghazi Ali Kirmani, Maryam Butt

“…Extensive research has been conducted to evaluate the influence of machine learning on innovative anaesthesia methods. In 2023, Lopez et al. published a systematic review on how Artificial Intelligence could positively impact traditional anaesthesia practices.1 Various studies included in the review employed different models to achieve variable targets during the induction of anaesthesia. …”
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Deep learning model using continuous skin temperature data predicts labor onset by Chinmai Basavaraj, Azure D. Grant, Shravan G. Aras, Elise N. Erickson

“…Finally, we developed a deep learning model using temperature patterning to provide a daily forecast of time to labor onset. …”
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Lung cancer intravasation-on-a-chip: Visualization and machine learning-assisted automatic quantification by Christy Wing Tung Wong, Joyce Zhi Xuen Lee, Anna Jaeschke, Sammi Sze Ying Ng, Kwok Keung Lit, Ho-Ying Wan, Caroline Kniebs, Dai Fei Elmer Ker, Rocky S. Tuan, Anna Blocki

“…Here, a human in vitro microphysiological model of EMT-driven lung cancer intravasation-on-a-chip was developed and coupled with machine learning (ML)-assisted automatic identification and quantification of intravasation events.A robust EMT-inducing cocktail (EMT-IC) was formulated by augmenting macrophage-conditioned medium with transforming growth factor-β1. …”
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Harnessing AI for peer-to-peer learning support: Insights from a bibliometric analysis by Mark Wilson-Trollip

“…The analysis aims to determine whether institutions leverage AI for peer-to-peer learning as part of peer support. The findings reveal a significant gap in direct research on AI's role in peer-to-peer support, underscoring the need for future studies on its impact on learning customisation, socio-emotional learning, and ethical issues in education. …”
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Teachers’ experiences in using universal design for learning in primary mathematics classrooms: Professed benefits by Matshidiso Mirriam Moleko, Mncedisi Christian Maphalala

“…The study explored the potential benefits of using the Universal Design for Learning (UDL) guidelines in primary mathematics classrooms. …”
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Redesigning Assessments for AI-Enhanced Learning: A Framework for Educators in the Generative AI Era by Zuheir N. Khlaif, Wejdan Awadallah Alkouk, Nisreen Salama, Belal Abu Eideh

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Empowering learners: exploring teacher perceptions in motivating and fostering self-directed learning skills by Tebogo Siziba, Bernadette Geduld, Charlene Du Toit-Brits

“…In literature, the role of self-directed learning is highlighted to counteract poor academic performance and dropouts caused by low motivation to learn and inadequate learning strategies. …”
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