Mixed-meta Method Concerning the Effect of Blended Learning Practices on Students’ Academic Achievement in Higher Education Settings by Abdullah Bingölbali, Aydın Aslan, Veli Batdi, Emrah Cinkara

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Students’ Problem-solving Skills and Perceptions through Problem-based Learning Assisted by Google Classroom by Nur Iva Wulansari, Febi Putri, Lia Yuliati, Nasikhudin Nasikhudin

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EFFECTIVENESS OF PROBLEM-BASED LEARNING IN ENHANCING CRITICAL THINKING SKILLS IN SCIENCE EDUCATION: META-ANALYSIS by Pradeo Putra Wiratama, Wipsar Sunu Brams Dwandaru, Heru Kuswanto, Silvia Laeli, Aris Kurniawan

“…Findings – The meta-analysis revealed a significant improvement in critical thinking skills for students who experienced PBL-based learning compared to conventional methods (summary effect = 0.57, 95% CI = 0.15-1.0, p = 0.01). …”
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INRNet: Neighborhood Re-Ranking-Based Method for Pedestrian Text-Image Retrieval by Kehao Wang, Yuhui Wang, Lian Xue, Qifeng Li

“…In order to address the issues arising from the above methods, we introduce Implicit Neighbourhood Reranking Network (INRNet) which utilizes a bilateral feature extractor to learn global image-text matching knowledge and leverages nearest neighbors as prior knowledge to mine positive samples. …”
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Quality improvement of a community-engaged authorship system: lessons learned from the RECOVER initiative by Shari Esquenazi-Karonika, Patenne D. Mathews, Marion J. Wood, Praveen M. Mudumbi, Janelle Linton, Jasmine Briscoe, Elle Seibert, K. Coombs, Gregory Laynor, Stuart D. Katz, Alicia Chung

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Overall Layout Method of Frame Structure Plane Based on Generative Adversarial Network by ZHONG Yan, LEI Xin, LONG Danbing, FANG Changjian, KANG Yongjun

“…These three methods establish correlations between architectural and structural features. …”
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Building Leadership Capacity in Elementary Students through Interactive Game-Based Learning in the Kampus Mengajar Program by Hamidaturrohmah Hamidaturrohmah, Muhammad Alie Muzakki, Aprilia Riyana Putri, Nihlatun Niswah

“…Novelty: This research study elaborates in-depth on the leadership character values that can be applied to elementary school students through game-based learning. Research Method: This research uses a descriptive qualitative method in the form of a case study with a participant observation approach. …”
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Social skills in higher education: how to combine active learning and social skills training program by Daniele Carolina Lopes, Mateus Cecílio Gerolamo, Marcel Andreotti Musetti, Daniel Capaldo Amaral

“…Abstract Paper aims The objective was to propose a Social Skills Training (SST) program integrated with project-based learning (PjBL) and to describe the student’s perception. …”
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The Impact of the SMOTE Method on Machine Learning and Ensemble Learning Performance Results in Addressing Class Imbalance in Data Used for Predicting Total Testosterone Deficiency... by Mehmet Kivrak, Ugur Avci, Hakki Uzun, Cuneyt Ardic

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A Gaussian Process-Enhanced Non-Linear Function and Bayesian Convolution–Bayesian Long Term Short Memory Based Ultra-Wideband Range Error Mitigation Method for Line of Sight and No... by A. S. M. Sharifuzzaman Sagar, Samsil Arefin, Eesun Moon, Md Masud Pervez Prince, L. Minh Dang, Amir Haider, Hyung Seok Kim

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Does Play-Based Learning Support Children’s Everyday Resiliency? A Cross-Case Analysis of Parents’ and Kindergarten Teachers’ Perceptions of Play-Based Learning as a Precedent to Y... by Lisa Fyffe, Angela Lewis

“…Conclusions: Participants believed these children’s experiences with play-based learning promoted the interdisciplinary development of their social language, persistence, altruism, and cognitive flexibility; these traits fostered the children’s positive coping strategies throughout the pandemic-affected kindergarten year.…”
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An Introduction to the Artificial Intelligence-Driven Technology Adoption in Nursing Education Conceptual Framework: A Mixed-Methods Study by Mary Beth Maguire, Anne White

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Implementation of Problem Based Learning to Enhance Critical Thinking Skills in Social Studies at Madrasah Ibtidaiyah Islamiyah Kedungwaru Ngawi by Abdul Aziz Binsa, Wiwit PurnamaPutri

“… The implementation of the Problem-Based Learning (PBL) model has proven to be effective in enhancing students’ critical thinking skills by encouraging active engagement in solving real-world problems. …”
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Keyword-optimized template insertion for clinical note classification via prompt-based learning by Eugenia Alleva, Isotta Landi, Leslee J. Shaw, Erwin Böttinger, Ipek Ensari, Thomas J. Fuchs

“…This study aims to investigate the impact of template position on model performance and training efficiency in clinical note classification tasks using prompt-based learning, especially in zero- and few-shot settings. …”
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Autonomous deployment and energy efficiency optimization strategy of UAV based on deep reinforcement learning by Yi ZHOU, Xiaoyong MA, Fuxiao GAO, Wei LI, Nan CHENG, Ning LU

“…Utilizing a UAV to build aerial mobile small cell can provide more flexible and efficient access services for ground terminal users.Constrained by the coverage and limited energy of the UAV,it is necessary to study how to build a fast,efficient and energy-saving air-ground collaborative network.To deal with complex dynamic scenarios,the UAV needs to deploy an optimal coverage position,and meanwhile reduce both path loss and energy consumption in the deployment process.Based on the deep reinforcement learning,a strategy of autonomous UAV deployment and efficiency optimization was proposed.The coverage state set of UAV was established,and the energy efficiency was used as a reward function.Depth neural network and Q-learning were used to guide UAV to make autonomous decision and deploy the optimal position.The simulation results show that the deployment time of the proposed method can be effectively reduced by 60%,while the energy consumption can be reduced by 10%~20%.…”
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Autonomous deployment and energy efficiency optimization strategy of UAV based on deep reinforcement learning by Yi ZHOU, Xiaoyong MA, Fuxiao GAO, Wei LI, Nan CHENG, Ning LU

“…Utilizing a UAV to build aerial mobile small cell can provide more flexible and efficient access services for ground terminal users.Constrained by the coverage and limited energy of the UAV,it is necessary to study how to build a fast,efficient and energy-saving air-ground collaborative network.To deal with complex dynamic scenarios,the UAV needs to deploy an optimal coverage position,and meanwhile reduce both path loss and energy consumption in the deployment process.Based on the deep reinforcement learning,a strategy of autonomous UAV deployment and efficiency optimization was proposed.The coverage state set of UAV was established,and the energy efficiency was used as a reward function.Depth neural network and Q-learning were used to guide UAV to make autonomous decision and deploy the optimal position.The simulation results show that the deployment time of the proposed method can be effectively reduced by 60%,while the energy consumption can be reduced by 10%~20%.…”
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Analyzing the practice of medical humanistic care based on a social learning model: mapping the trajectory of the learning dynamic process from the learner’s perspective by Bilu Gu, Yiming Lv, Jiyu Zhu, Xiaoling Sun, Xiaoling Sun, Kun Li

“…BackgroundHumanistic care is a good glue for the doctor-patient relationship, and it is a general trend to improve the practice of humanistic care.MethodsA narrative research method was used to conduct semi-structured interviews with 18 master’s degree nursing students from China who were in the clinical rotation stage, and the data were content analyzed and explored from the perspective of the learners who were learning about humanistic caring practices using the social learning theory model.ResultsThere is a triple tension structure in the practice of humanistic care: At the cognitive level, there is a knowledge-activity rupture, with learners showing theoretical clarity but practical confusion. …”
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Deep Learning-Based Ground-Penetrating Radar Inversion for Tree Roots in Heterogeneous Soil by Xibei Li, Xi Cheng, Yunjie Zhao, Binbin Xiang, Taihong Zhang

“…In this paper, a deep learning-based ground-penetrating radar (GPR) inversion method is proposed to simultaneously image the spatial distribution of permittivity for subsurface tree roots and layered heterogeneous soils in real time. …”
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Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…Basic operations included standardizing the player’s position and reformatting half-court representations into grids. …”
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Machine Learning with Self-Assessment Manikin Valence Scale for Fine-Grained Sentiment Analysis by Lindung Parningotan Manik, Harry Susianto, Arawinda Dinakaramani, R. Niken Pramanik, Totok Suhardijanto

“…Traditional sentiment analysis methods use lexicons or machine learning models to classify text as positive or negative. …”
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