Design and evaluation of a problem-based learning VR module for apparel fit correction training. by Aditi Galada, Fatma Baytar

“…However, existing studies spanning from engineering to design education indicate that students feel incompetent in understanding 3D digital prototypes and navigating the software, so there is a need to find effective training methods. In the current study, training modules were developed to teach participants fit correction skills through an iterative problem-based learning (PBL) approach. …”
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A Hybrid STL-Deep Learning Framework for Behavioral-Based Intrusion Detection in IoT Environments by Abdullah AlHayan, Jalal Al-Muhtadi

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Discovering User Sentiment Patterns in Libraries with a Hybrid Machine Learning and Lexicon-Based Approach by Dini Nurmalasari, Dini Hidayatul Qudsi, Nessa Chairani, Heri R Yuliantoro

“…Sentiment analysis is employed using the VADER method to classify user comments into positive or negative categories. …”
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Transformer-Based Detection and Clinical Evaluation System for Torsional Nystagmus by Ju-Hyuck Han, Yong-Suk Kim, Jong Bin Lee, Hantai Kim, Jong-Yeup Kim, Yongseok Cho

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A Clinical Risk Prediction Model for Depressive Disorders Based on Seven Machine Learning Algorithms by Jin W, Chen S, Wang M, Lin P

“…Weifeng Jin,* Shuzi Chen,* Mengxia Wang,* Ping Lin Department of Medical Laboratory, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China*These authors contributed equally to this workCorrespondence: Ping Lin, Email Linpingsun20000@aliyun.comObjective: To develop a clinical risk prediction model for depressive disorders using seven machine learning algorithms based on routine blood test indicators.Methods: A retrospective study was conducted, involving 284 patients with depressive disorders and 214 healthy controls recruited between January and October 2024. …”
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Leveraging Mixture of Experts and Deep Learning-Based Data Rebalancing to Improve Credit Fraud Detection by Zeyuan Yang, Yixuan Wang, Haokun Shi, Qiang Qiu

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PENERAPAN MODEL PEMBELAJARAN PROBLEM-BASED HYBRID LEARNING DALAM PENCAPAIAN LITERACY DIGITAL SISWA by Made Prima Restami, Komang Anik Sugiani

“…The results of this study are based on the results of a review of 15 articles that found that the use of P-BHL in the learning process at school and in college has a positive impact such as improving performance, comprehension, critical thinking skills, digital literacy skills and cognitive abilities in learning by applying the P-BHL learning method both at school and in college. …”
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Factors Influencing EFL Students' Engagement in Project-Based Learning within ICT-Integrated Classrooms by Ardhita Annisa Dewi, Roslaini Roslaini

“…It is important to have for students, particularly in learning ICT-based projects. Then, this research aims to investigate the factors of students’ willingness that influence them to complete the project. …”
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IMPLEMENTATION OF ANDROID-BASED INTERACTIVE MULTIMEDIA ON ATOM STRUCTURE MATERIALS ON LEARNING OUTCOMES AND STUDENT MOTIVATION by Sandy Yudha, Nurfajriani Nurfajriani, Ramlan Silaban

“…The purpose of this study was to determine the effect of implementing Android-based interactive multimedia on learning outcomes and student motivation at SMA Negeri 1 Binjai, Langkat Regency. …”
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ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application by Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal, Sajeeb Saha, Rakib Hossen, Sabbir Ahmed, Mohammad Abu Tareq Rony, Mosammat Farida Akter

“…In this paper, we developed a machine learning-based kidney diseases prediction (ML‐CKDP) model with dual objectives: to enhance dataset preprocessing for CKD classification and to develop a web-based application for CKD prediction. …”
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Ground-Based Cloud-Type Recognition Using Manifold Kernel Sparse Coding and Dictionary Learning by Qixiang Luo, Zeming Zhou, Yong Meng, Qian Li, Miaoying Li

“…Based on the symmetric positive definite (SPD) matrix manifold, a novel method named “manifold kernel sparse coding and dictionary learning” (MKSCDL) is proposed for cloud classification. …”
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A human behavior-based model for respiratory infectious diseases prediction by Zhengwen Ma, Min Zhu, Chen Zhi, Huaguo Zhang, Minye Li, Nan Zhang, Hui Ma, Hui Ma

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Mobile learning based on natural experience approach to im-prove science literacy and environmental attitudes by Dian Samitra, Endang Widi Winarni

“…Teacher education should foster both scientific literacy and environmental attitudes, which can be enhanced through the use of technology-based learning media. This research aims to develop a herpetofauna mobile learning based on a natural experience approach to improve science literacy and environmental attitudes teacher candidates. …”
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Prediction of Shear Capacity of Fiber-Reinforced Polymer-Reinforced Concrete Beams Based on Machine Learning by Jitao Zhao, Miaomiao Zhu, Lidan Xu, Ming Chen, Mingfang Shi

“…To address the existing challenges of lacking a unified and reliable shear capacity prediction model for fiber-reinforced polymer (FRP)-strengthened reinforced concrete beams (FRP-SRCB) and the excessive experimental workload, this study establishes a shear capacity prediction model for FRP-SRCB based on machine learning (ML). First, the correlation between input and output parameters was analyzed by the Pearson correlation coefficient method. …”
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Two‐stage video anomaly detection based on dual‐stream networks and multi‐instance learning by Dejun Zhang, Wenbo Fang, Yuhang Liu, Zirong Lyu, Chen Xiong, Zhan Wang

“…Abstract To promptly detect abnormal events in surveillance videos, this article designs a video anomaly detection method based on multiple instance learning. Generally, abnormal events occur less frequently compared to normal events. …”
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Training in self-regulated learning based on a neuropsychological approach to academic stress in university students by Diego Daniel Díaz Guerra, Marena de la C Hernández Lugo, María del Pilar Fernández Celis, Raquel Yovana Tello Flores, Esteban Rodríguez Torres

“…Conclusions: this study demonstrates that a training program in self-regulated learning, based on a neuropsychological approach, can be effective in reducing stress associated with the academic context and increasing the performance of university students. …”
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Machine learning-derived diagnostic model of epithelial ovarian cancer based on gut microbiome signatures by Cheng Chen, Chengyuan Deng, Yanwen Li, Shuguang He, Yunhong Liu, Shuwen Pan, Wenqian Xu, Lu Fang, Yixi Zhu, Yingying Wang, Xiaoxin Jiang

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Team-based learning versus traditional lectures in local anesthesia course: A cross-sectional study exploring dental students’ perception and performance by Salah Sakka

“…Conclusion: Students performed better and had positive opinions of TBL as their preferred learning technique when team-based learning substituted some didactic lectures.…”
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Impact of OER-assisted Problem-based Learning on Creative Thinking and Self-Efficacy in Physics Education by Agung Sedayu, Herpratiwi Herpratiwi, Dwi Yulianti, I Wayan Distrik

“… In the era of unlimited information, one method of learning is through the use of open education resources (OER) whereby It can be included into learning that is problem-based learning (PBL) to optimize students’ low creative thinking. …”
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Machine Learning-Based Detection of Icebergs in Sea Ice and Open Water Using SAR Imagery by Zahra Jafari, Pradeep Bobby, Ebrahim Karami, Rocky Taylor

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