Integrating Augmented Reality in Mathematics Learning to Improve Critical Thinking Skills of Elementary School Students by Ady Akbar, Tatang Herman, Didi Suryadi, . Mursalim, . Alman, Elpri Darta Putra, Jusuf Blegur

“…The findings revealed a significant difference in CTS between students taught with AR-assisted learning and those taught using conventional methods, indicating that AR-supported instruction positively influences elementary students’ critical thinking skills. …”
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Developing a multivariate model for the prediction of concussion recovery in sportspeople: a machine learning approach by Antonio Belli, Vijay Sawlani, David Davies, Kamal Yakoub, Louise C Yates, Elliot Yates, Xuanxuan Li, Yiping Lu

“…A final composite model accuracy of 94.6% based on the unseen testing subset was obtained, yielding a sensitivity of 100% and specificity of 93.8% with a positive predictive value of 71.4% and a negative predictive value of 100%. …”
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Using social media for environmental insight: a multi-model deep learning framework approach by Minglu Che, Chengyao Wang, Yanyun Nian, Pinqi Rao

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From screen to bench: unpacking the shifts in chemistry learning experiences during the COVID-19 transition by Ramadhani Dimas Gilang, Yamtinah Sri, Saputro Sulistyo, Sarwanto Sarwanto, Masykuri Mohammad

“…The research findings advocate for a blended learning approach, harnessing the strengths of both online and traditional instructional methods. …”
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Resolving inconsistent effects of tDCS on learning using a homeostatic structural plasticity model by Han Lu, Han Lu, Han Lu, Han Lu, Lukas Frase, Claus Normann, Claus Normann, Stefan Rotter, Stefan Rotter, Stefan Rotter

“…The interference between motor learning and tDCS, which are both based on HSP in our model, is a candidate mechanism to resolve complex and seemingly contradictory experimental observations.MethodsWe implemented motor learning and tDCS in a spiking neural network subject to HSP. …”
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Role of ICT in Teaching and Learning Integrated Science in Primary Schools in Central Division Kabale Municipality. by Tumukurate, Dickson

“…From the study results, the researcher concluded that the study suggests a multifaceted relationship between teaching and learning and academic performance among students. Teaching and learning appear to enhance social cohesion, motivation, cultural identity, civic responsibility, engagement, and critical thinking skills—all factors contributing positively to academic achievement. …”
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Classification of schizophrenia spectrum disorder using machine learning and functional connectivity: reconsidering the clinical application by Chao Li, Ji Chen, Mengshi Dong, Hao Yan, Feng Chen, Ning Mao, Shuai Wang, Xiaozhu Liu, Yanqing Tang, Fei Wang, Jie Qin

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Understanding continued use of smart learning platforms: psychological wellbeing in an extended TAM-ISCM model by Jinlei Li, Meilin Jin, Xiaowei Chen, Xiaowei Chen

“…While usability and usefulness remain essential, designers must foster emotional engagement and manage trust-based expectations. Platforms that overlook psychological dimensions risk diminishing user satisfaction and long-term retention.ConclusionSustaining engagement with innovative learning platforms in higher vocational education requires a holistic approach that balances functional usability with mental wellbeing. …”
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Deep Learning Model for Predicting Neurodevelopmental Outcome in Very Preterm Infants Using Cerebral Ultrasound by Tahani M. Ahmad, MD, ABR, Alessandro Guida, PhD, Sam Stewart, PhD, Noah Barrett, MSc, Michael J. Vincer, MD, Jehier K. Afifi, MD, MSc

“…The CNN model combining CUS and clinical variables reported better performance (PR-AUC, 0.75; 95% CI, 072-0.79; ROC-AUC, 0.71; 95% CI, 0.67-0.74) in the prediction of positive NDI outcome compared with the traditional models based solely on clinical predictors (PR-AUC, 0.60; 95% CI, 0.52-0.68; ROC-AUC, 0.72; 95% CI, 0.68-0.75). …”
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University service utilization patterns in students with specific learning disabilities: An institutional cross-sectional study. by Syed Mohammed Basheeruddin Asdaq, Mamdouh Saleh Alharbi, Mohanad Abdullah Alansari, Saleh Alshuqayr, Malek Fares Alanazi, Saleh Rajih Alshahrani, Naira Nayeem, Walaa F Alsanie, Abdulhakeem S Alamri, Majid Alhomrani, Amal F Alshammary, Rafiulla Gilkaramenthi

“…<h4>Background/objectives</h4>This study examined the relationship between university students' use of common and specific services and the presence of specific learning disabilities (SLDs). The objective was to identify how sociodemographic factors, health status, and learning disabilities impact service utilization, with a focus on improving accessibility and support for students with SLDs.…”
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Evaluating parental experiences in teaching children with learning disabilities in resource rooms of public schools in Amman by Abdellatif Khalaf Alramamneh, Obaid Abdelkarim Al-Sabayleh, Khaled Shaker Turki Alsarayreh, Sameer Abdel Kareem Ahmad Al Remawi

“…However, there is a significant gap in understanding how these factors specifically impact parents’ perceptions in the context of Amman’s public schools.AimThis study aimed to address this gap by evaluating the perspectives of parents of students with learning disabilities in resource rooms within Amman’s public schools, focusing on their satisfaction with educational services, including instruction quality, resource adequacy, and facility accessibility.MethodsA cross-sectional study design was utilized, involving a structured questionnaire administered to 200 parents of children attending resource rooms in 33 public schools across Amman. …”
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Shorter SPECT scans using self-supervised coordinate learning to synthesize skipped projection views by Zongyu Li, Yixuan Jia, Xiaojian Xu, Jason Hu, Jeffrey A. Fessler, Yuni K. Dewaraja

“…Methods We developed SpeRF, a SPECT reconstruction pipeline that integrates synthesized and measured projections, using a self-supervised coordinate-based learning framework inspired by Neural Radiance Fields (NeRF). …”
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Optimizing Superior Seed Bunches: A New Approach to Artificial Pollination with Machine Learning Models by Yabani Yabani, Retna Astuti Kuswardani

“…The main focus of the study is to develop an optimization method that can improve the quality of fruit bunches and minimize waste in the production process. …”
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Global atomic structure optimization through machine-learning-enabled barrier circumvention in extra dimensions by Casper Larsen, Sami Kaappa, Andreas Lynge Vishart, Thomas Bligaard, Karsten Wedel Jacobsen

“…Abstract We introduce and discuss a method for global optimization of atomic structures based on the introduction of additional degrees of freedom describing: 1) the chemical identities of the atoms, 2) the degree of existence of the atoms, and 3) their positions in a higher-dimensional space (4-6 dimensions). …”
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Make A Match Learning Model Assisted with Picture Media Improve Students’ Reading Skills by Ni Putu Feny Yuliawati, Ni Wayan Rati, Kadek Suranata

“…Based on the results of hypothesis testing obtained from the results of research on students 'reading difficulties (t-count = 14.60> t-table = 1.69 at a significance level of 5%), and there is a Make A Match type cooperative learning model that is assisted by image media to test students' reading skills (d = 4.91> 0.8), thus it can be concluded that the cooperative learning model of the type of Make A Match aided by media images has a positive effect on students' reading skills. …”
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Development of Kalibataku Fraction Board Media to Improve Student Learning Results and Interest in Fraction Material by Putri Puspitasari, Murtono Murtono, Mulyani Mulyani

“…Also received a positive response from educators who categorized the media as suitable for application in learning.…”
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The Influence of Parental Attention and the Islamic Religious Education Learning Process on the Behavior of Students at Madrasah Diniyah by Musthofa Musthofa

“…Employing a quantitative approach with a survey method, this study utilized correlation and regression analysis techniques. …”
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Nearest-Neighbor Dual-Path Contrastive Learning for Lumbar Disc Herniation MRI Image Classification by Dan Pan, Yu-Xiang Pan, Hui Wang, Qi-Jing Liu, Chang-Mao Qiu

“…The novel nearest-neighbor-based positive sample construction enhances feature consistency and classification accuracy by reducing the impact of irrelevant examples. …”
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An end-to-end deep learning solution for automated LiDAR tree detection in the urban environment by Julian R. Rice, G. Andrew Fricker, Jonathan Ventura

“…This work proposes a novel end-to-end deep learning method for the detection of trees in the urban environment from remote sensing data. …”
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Learning design of lines and angles for 7th -grade using Joglo traditional house context by Hartono Hartono, Farida Nursyahidah, Widya Kusumaningsih

“…This study aims to produce a learning trajectory that can assist students in understanding the concept of lines and angles, maximize the effectiveness and efficiency of learning, create meaningful learning, and motivate student learning. …”
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