TikTok flipped classroom method in folk art courses: an investigation of teachers and learners’ perceptions by Ting Hu, Ting Hu, Haowei Chen, Lin Wang, Choon Keong Tan

“…The data were analyzed through thematic analysis using NVivo 14 software, which allowed for efficient coding and the identification of emerging themes.ResultsThe findings revealed that students had overwhelmingly positive perceptions of the TikTok flipped classroom method, highlighting four key themes: learning methods, pre-class materials, learning content, and interactivity. …”
Get full text

Avnet: learning attitude and velocity for vehicular dead reckoning using smartphone by adapting an invariant EKF by Long Qian, Xinchuang Lin, Xiaoguang Niu, Qihai Huang, Leilei Li, Guangyi Guo, Zexin Wang, Ruizhi Chen

“…However, for vehicle navigation applications in the Global Navigation Satellite System (GNSS)-denied scenario such as parking lot and tunnel, it is quite difficult to maintain robust and continuous positioning based on consumer-grade sensors. In this paper, a novel method is proposed for accurate vehicular dead-reckoning based only on a smartphone inertial measurement unit. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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). …”
Get full text

Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum by Indah Mustika Rahayu, Ahmad Yusuf, Mujib Ridwan

“…Research data is administrative data of 225 students who have taken the NST-based school readiness test conducted by TK Ar-Rasyid in 2012-2018. …”
Get full text

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). …”
Get full text

Magnetic Source Detection Using an Array of Planar Hall Effect Sensors and Machine Learning Algorithms by Miki Vizel, Roger Alimi, Daniel Lahav, Moty Schultz, Asaf Grosz, Lior Klein

“…To address this, we employed the Levenberg–Marquardt Algorithm (LMA) as a deterministic optimization method to estimate the magnetic source’s position and parameters, as well as machine earning (ML) algorithms, which consist of a Fully Connected Neural Network (FCNN). …”
Get full text

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. …”
Get full text

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. …”
Get full text

An Evaluation of the Healthy Relationships Program for Male Adolescents in Juvenile Detention: A Mixed Method Approach by Rae-lee Warner, Kristie Dellar, Lynne Roberts

“…Qualitative analysis of participant program feedback further supported the quantitative results and identified the importance of the therapeutic alliance and incentives-based learning approaches. The findings contribute to the “what works” literature and provide insights into factors that improve positive treatment outcomes for youth in detention. …”
Get full text

Securing IoT Communications via Anomaly Traffic Detection: Synergy of Genetic Algorithm and Ensemble Method by Behnam Seyedi, Octavian Postolache

“…These challenges include denial-of-service (DoS) attacks, anomalous network behaviors, and data manipulation, which threaten the security and reliability of IoT ecosystems. New methods based on machine learning have been reported in the literature, addressing topics such as intrusion detection and prevention. …”
Get full text

Veterinary medicine under COVID-19: a mixed-methods analysis of student and practitioner experiences in Austria by Elke Humer, Elke Humer, Stefanie Winter, Thomas Probst, Christoph Pieh, Rachel Dale, Deianira Brühl, Viktoria Neubauer, Viktoria Neubauer

“…Future research should monitor these impacts longitudinally and explore the integration of beneficial practices into standard veterinary education and care, such as effective digital learning platforms and appointment-based systems.…”
Get full text

Enhancing EFL Vietnamese Students’ Communicative Competence through Selected Speaking Strategies by Nguyen Huu Chanh

“…Ten strategies were carefully designed to meet the requirements of tasks in the pre-, while-, and post-speaking phases, based on previous studies. The results showed that the use of these speaking strategies had a positive impact on EFL students' communicative competence, as evidenced by their scores and feedback. …”
Get full text

Analysis and evaluation of healthcare delivery to patients with coronary artery disease using PC-based medical data by A. M. Nazarov, S. N. Tolpygina, I. P. Bolodurina

“…Aim. Using PC-based medical information technologies, analyze and evaluate inpatient and outpatient care for patients with coronary artery disease (CAD) with the development and testing of machine learning algorithms.Material and methods. …”
Get full text

Undergraduate Nursing Students’ Experiences of Virtual Learning during the COVID-19 Pandemic: A Qualitative Study by Zahra Asgari Tapeh, Azar Darvishpour

“…With the emergence of the COVID-19 pandemic, schools and universities were closed, and virtual education replaced face-to-face classes. This learning method was a new and different experience for nursing students. …”
Get full text

A scoping review of nursing interventions of improving resilience among university students during online learning by Rohman Hikmat, Iyus Yosep, Ai Mardhiyah

“…The authors identified 14 articles discussing nursing interventions to improve resilience in university students during online learning. Five main types of interventions were identified: (1) resilience-based intervention programs, (2) mindfulness and yoga-based interventions, (3) positive psychology and journaling-based interventions, (4) social skills and problem-solving training, and (5) simulation-based and curricular interventions. …”
Get full text

Toward Personalized Digital Experiences to Promote Diabetes Self-Management: Mixed Methods Social Computing Approach by Tavleen Singh, Kirk Roberts, Kayo Fujimoto, Jing Wang, Constance Johnson, Sahiti Myneni

“…MethodsUsing the peer messages from the American Diabetes Association support community for DSM (n=~73,000 peer interactions from 2014 to 2021), (1) a labeled set of peer interactions was generated (n=1501 for the American Diabetes Association) through manual annotation, (2) deep learning models were used to scale the qualitative codes to the entire datasets, (3) the validated model was applied to perform a retrospective analysis, and (4) social network analysis techniques were used to portray large-scale patterns and relationships among the communication dimensions (content and context) embedded in peer interactions. …”
Get full text

EFEKTIFITAS PENGGUNAAN MEDIA PEMBELAJARAN MATEMATIKA BERBAHAN SAMPAH UNTUK MENGURANGI LEARNING LOSS AKIBAT PANDEMI COVID-19 by Yohanis Ndapa Deda, Hermina Disnawati

“…Based on the results of this study, it can be concluded that the use of waste-based MPMBS in learning integer operations can improve learning achievement while reducing learning loss in the community of Sunday school children in Kefemenanu. …”
Get full text

WCMU-net: An Effective Method for Reducing the Impact of Speckle Noise in SAR Image Change Detection by Yu Duan, Kaimin Sun, Wangbin Li, Jinjiang Wei, Song Gao, Yingjiao Tan, Wanghui Zhou, Jun Liu, Junyi Liu

Get full text