Sensor-Based Gait Analysis: A Comparative Study of Ultrasonic and Laser Sensors for Gait Monitoring in Rollator-Assisted Walking by Ivan Omeko, Stefan Twieg, Martin Obert

“…A crucial aspect of this system is the detection and correction of the user's posture of legs. This is based on measuring the distance between the user and the rollator, among other methods. …”
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Fostering scientific creativity in science education through scientific problem-solving approaches and STEM contexts: a meta-analysis by Fredyrose Ivan Libosada Pinar, Albert Andry E. Panergayo, Richard R. Sagcal, Dharel P. Acut, Lydia S. Roleda, Maricar S. Prudente

“…This meta-analysis addresses this gap by evaluating the impact of inquiry-based learning, problem-based learning, project-based learning, and STEM contexts on students’ scientific creativity. …”
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Asynchronous Forums in EAP: Assessment Issues by Sara Kol, Miriam Schcolnik

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Student engagement assessment using multimodal deep learning. by Lijuan Yan, Xiaotao Wu, Yi Wang

“…Student engagement assessment plays an important role in enhancing students' positive performance and optimizing teaching methods. …”
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Integrating Neuroscience and Pedagogical Practices to enhance University Learning by Claudio O. Cervino

“…The effectiveness of Neuroeducation is supported by studies highlighting methods like collaborative learning and constructive feedback, which positively influence academic performance. …”
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Peer effects on rural household carbon emissions in China by Nana Yan

“…A systematic study was conducted using double/debiased machine learning method and Probit (Logit) models to investigate the relationship and mechanism between the same group effect and household carbon emissions. …”
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Exploring Learning Approaches of Generation Z Medical Students by Mutyalapati Venkata Ramulu, Amit Kumar Pal, Dyutimoy Datta, Ashish Pundhir

“…Conclusion: Kinesthetic learning is the most dominant among medical students, whereas multimodal preferences indicate the need for dynamic, experience-based teaching methods. …”
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The Effectiveness of an Authentic E-Learning Environment for Deaf Learners by Nasim Niksiar, İldeniz Özverir, Ali F. Meghdari

“…The interview results revealed a positive attitude toward using e-learning based on an authentic learning approach, which increased deaf learners’ motivation. …”
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CONTENT AND LANGUAGE INTEGRATED LEARNING IN RUSSIAN TECHNICAL UNIVERSITIES by T. V. Sidorenko, S. V. Rybushkina

“…The efficacy of the approach made Russian educators look at its side taking into account the lack of «drag and drop» practices and the specificity of Russian university environment, including national specificity of the country in general.The aim of the article is to work out some recommendations for smooth implementation of CLIL in Russian higher education.Methodology and research methods. The methods involve system-based and comparative analysis, generalization and modeling.Results and scientific novelty. …”
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Reach Historical Thinking Skills: Developing Learning Models by Moch. Dimas Galuh Mahardika

“…Both gains were below 0.05, indicating an average post-test difference in multiple choice and historical thinking skills in both classes. Based on the t-test results, we can conclude that the product positively affected the experimental class's learning outcomes and historical thinking skills.…”
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Detection of pediatric developmental delay with machine learning technologies. by Shin-Bo Chen, Chi-Hung Huang, Sheng-Chin Weng, Yen-Jen Oyang

“…We then built 3 types of machine learning based prediction models, namely the deep neural network models (DNN), the support vector machine (SVM) models, and the decision tree (DT) models, to evaluate the effectiveness of the proposed approach.…”
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Using machine learning algorithms to predict colorectal cancer by Xingjian Xiao, Bo Hong, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Shiyou Liu, Xianglong Xu

“…Interpretation: Using machine learning methods and non-invasive predictors can accurately predict colorectal cancer in individuals with positive initial screening results for colorectal cancer. …”
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Construction and evaluation of a home rehabilitation nursing model for patients with benign paroxysmal positional vertigo based on Internet of Things technology (基于物联网技术的耳石症患者居家康复护... by LIU Huan (刘欢)

“…Objective To construct a home rehabilitation nursing model for patients with benign paroxysmal positional vertigo based on Internet of Things (IoT) technology, and to verify its effect on reducing the recurrence rate of the disease and improving the quality of life. …”
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Model of Organization of Distance Learning for Students of Architectural Specialties by E. A. Dyachkova

“…The distance-learning model includes the following blocks: target, which includes the goal of organizing distance learning to train students of architectural specialties; methodological, including system-activity, personality-oriented, axiological, competence-based approaches and their corresponding principles; meaningful, including readiness components: (motivational, cognitive, activity-practical, creative, evaluative-reflective), as well as pedagogical conditions: creating positive motivation for learning, the presence of educational communication, improving the student’s readiness to use distance learning technologies, providing stages training: information-theoretical, practice-oriented, integration; organizational and procedural, including organizational forms of distance learning for the preparation of students of architectural specialties of universities: synchronous, asynchronous; distance learning methods; means; learning technologies; diagnostic, including criteria and indexes: motivational, cognitive, activity-practical, creative, evaluative-reflective, as well as levels: receptive, receptive-reproductive, reproductive-productive, productive, creative; effective - including the results of the organization of distance learning for the preparation of students of architectural specialties.Conclusion. …”
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Enhancing mosquito classification through self-supervised learning by Ratana Charoenpanyakul, Veerayuth Kittichai, Songpol Eiamsamang, Patchara Sriwichai, Natchapon Pinetsuksai, Kaung Myat Naing, Teerawat Tongloy, Siridech Boonsang, Santhad Chuwongin

“…This study introduces a self-supervised learning-based image classification model using the Bootstrap Your Own Latent (BYOL) algorithm, designed to enhance mosquito species identification efficiently. …”
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Quizizz for EFL Learning Tool: Students’ Views and Attitudes by Sorohiti Maryam, Nadra Adyra Yasa Nauli, Suryanto Jati, Fatimah Nur

“…As technology-based educational tools become increasingly prevalent in global educational settings, it is essential for teaching methods to evolve alongside technological advancements to maintain students’ engagement. …”
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Cooperative learning in Initial Teacher Education: student experiences by Leah O’Toole

“…In spite of some challenges in terms of logistics, the findings are overwhelmingly positive, with benefits of cooperative learning including deeper and more meaningful learning than in individualistic or competitive approaches, greater application of theory to practice, stronger motivation and more enjoyment of learning on behalf of students, more integrated inter-disciplinary thinking, improvements in academic self-efficacy beliefs and self-confidence, and stronger critical engagement with material. …”
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Exploring the interplay of information relevance and colorfulness in multimedia learning by Juliette C. Désiron, Sascha Schneider

“…Based on the emotional design hypothesis, for example, using colors, in contrast to black and white representations, for designing learning materials can elicit positive emotions, guide attention, increase motivation, and foster learning. …”
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Deep reinforcement learning applications and prospects in industrial scenarios by JING TAN, Ligang YANG, Xiaorui LI, Zhaolin YUAN, Yunduan CUI, Chao YAO, Zongjie WANG, Xiaojuan BAN

“…The review begins with an introduction to the fundamental concepts of DRL, including the Markov decision process (MDP) framework and the Bellman equation for optimizing decision-making strategies, followed by an exploration of the latest advancements in both online and offline reinforcement learning algorithms. The paper systematically examines the background and challenges of industrial control systems, highlighting the limitations of traditional methods such as proportional–integral–derivative (PID) control and rule-based systems when faced with multi-variable, nonlinear, and dynamic processes. …”
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Using machine learning algorithms to predict colorectal polyps by Xingjian Xiao, Shiyou Liu, Kubra Maqsood, Xiaohan Yi, Guoqun Xie, Hailei Zhao, Bo Sun, Jianying Mao, Xianglong Xu

“…Until now, no studies have been conducted on utilizing non-invasive factors to predict colorectal polyps. Methods: Our study was based on a population-based cross-sectional survey. …”
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