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Peer effects on rural household carbon emissions in China
Published 2025-05-01“…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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The Effectiveness of an Authentic E-Learning Environment for Deaf Learners
Published 2025-02-01“…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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1244
Reach Historical Thinking Skills: Developing Learning Models
Published 2023-05-01“…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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1245
Exploring Learning Approaches of Generation Z Medical Students
Published 2025-04-01“…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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1246
Using machine learning algorithms to predict colorectal polyps
Published 2025-02-01“…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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1247
Quizizz for EFL Learning Tool: Students’ Views and Attitudes
Published 2024-01-01“…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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1248
Cooperative learning in Initial Teacher Education: student experiences
Published 2014-06-01“…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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1249
Exploring the interplay of information relevance and colorfulness in multimedia learning
Published 2024-11-01“…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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Initiating and integrating user-centred design in upgrading the e-learning layout: a case study on FlexLearn (Brightspace) 2.0 template
Published 2024-08-01“…Positive responses were received from the CLs, and constructive suggestions were considered for FlexLearn 3.0. …”
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1251
Model of Organization of Distance Learning for Students of Architectural Specialties
Published 2022-12-01“…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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Cascaded intrusion detection system using machine learning
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Effect of concept mapping strategy in teaching-learning economics at higher classes
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The development of MOOCs on students' learning outcomes in science subjects
Published 2025-02-01“…Desain results show that designing learning material through web-based MOOCs is needed. …”
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1256
Entrepreneurial Intention Model of Learning and Self-Efficacy Aspects
Published 2020-12-01“…The results showed that entrepreneurship learning and self-efficacy had a significant positive effect on entrepreneurial intentions. …”
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Preoperative assessment in lymph node metastasis of pancreatic ductal adenocarcinoma: a transformer model based on dual-energy CT
Published 2025-04-01“…Abstract Background Deep learning(DL) models can improve significantly discrimination of lymph node metastasis(LNM) of pancreatic ductal adenocarcinoma(PDAC), but have not been systematically assessed. …”
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Travel route recommendation with a trajectory learning model
Published 2024-11-01“…To address these issues, this research introduces a Trajectory Learning Model for Route Recommendation (TLMR) based on deep learning techniques. …”
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Integrating Neuroscience and Pedagogical Practices to enhance University Learning
Published 2025-07-01“…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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An Actor–Critic-Based Hyper-Heuristic Autonomous Task Planning Algorithm for Supporting Spacecraft Adaptive Space Scientific Exploration
Published 2025-04-01“…At the high level, a reinforcement learning strategy based on the actor–critic model is used, combined with the network architecture, to construct a framework for the selection of advanced heuristic algorithms. …”
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