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73 resultados encontrados.

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Learning environment, school–enterprise cooperation, and student motivation as predictors of employment competitiveness among undergraduates in application-oriented universities
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Learning environment, school–enterprise cooperation, and student motivation as predictors of employment competitiveness among undergraduates in application-oriented universities
Chen Lei et al · Frontiers Media S.A · 2026 · ISSN 2504-284X
Employment competitiveness is widely regarded as a key indicator of higher education effectiveness, particularly in application-oriented universities where graduate employability affects institutional reputation and soci...
LCC TENDOkVkdWNhdGlvbiAoR2VuZXJhbCk~Idioma eng
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Individualisation of the Educational Process and Supporting Students in Adapting to a New Learning Environment: Evaluation of Current Approaches
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Individualisation of the Educational Process and Supporting Students in Adapting to a New Learning Environment: Evaluation of Current Approaches
Gulnura Irenchieva et al · Vasyl Stefanyk Carpathian National University · 2026 · ISSN 2311-0155
The study aimed to analyse the effectiveness of traditional, innovative, and digital approaches to individualising the educational process and student adaptation within the educational systems of Bulgaria, Kyrgyzstan, an...
LCC TENDOkVkdWNhdGlvbg~~; TENDOkVjb25vbWljcyBhcyBhIHNjaWVuY2U~Idioma eng
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The role of educational presence in enhancing synchronous and asynchronous interactivity in virtual learning environments
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The role of educational presence in enhancing synchronous and asynchronous interactivity in virtual learning environments
Leonela Elisa Macías Rodríguez et al · Frontiers Media S.A · 2026 · ISSN 2504-284X
IntroductionThis study examines the role of interactivity in virtual learning environments (VLEs), focusing on the integration of synchronous and asynchronous modalities in shaping educational presence.MethodsA mixed-met...
LCC TENDOkVkdWNhdGlvbiAoR2VuZXJhbCk~Idioma eng
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Exploring cognitive load in anatomy education: a study of 3D virtual reality and 2D learning environments using fNIRS
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Exploring cognitive load in anatomy education: a study of 3D virtual reality and 2D learning environments using fNIRS
Erika Johannessen et al · Frontiers Media S.A · 2026 · ISSN 1664-1078
IntroductionAlthough virtual reality (VR) is increasingly deployed as a tool for education, little is known about how learning modality influences cognitive processing or whether wearable neuroimaging technologies can ac...
LCC TENDOlBzeWNob2xvZ3k~Idioma eng
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Learning analytics and ergonomic educational spaces for active learning: a case study from Kazakhstan in the Central Asian context
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Learning analytics and ergonomic educational spaces for active learning: a case study from Kazakhstan in the Central Asian context
Kulzhanar I. Zhumazhanova et al · Frontiers Media S.A · 2026 · ISSN 2504-284X
The convergence of educational technologies, ergonomics, and active learning frameworks offers a multidimensional approach to improving educational outcomes. This study examines the role of Learning Analytics (LA) in opt...
LCC TENDOkVkdWNhdGlvbiAoR2VuZXJhbCk~Idioma eng
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Learning space development and management in higher education: enactivist perspectives and embodied practices. A study from Norway
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Learning space development and management in higher education: enactivist perspectives and embodied practices. A study from Norway
Veruska De Caro-Barek et al · Frontiers Media S.A · 2026 · ISSN 2504-284X
This study explores the development and management of campus learning spaces at the Norwegian University of Science and Technology (NTNU), focusing on the experiences and perspectives of the technical administrative staf...
LCC TENDOkVkdWNhdGlvbiAoR2VuZXJhbCk~Idioma eng
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Learning automata and firefly algorithm based RPL for dynamic Internet of Things networks
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Learning automata and firefly algorithm based RPL for dynamic Internet of Things networks
Thiagarajan Counassegarane et al · Springer · 2026 · ISSN 2948-2992
Abstract The increasing number of Internet of Things (IoT) devices demands a rigid and adaptive routing methodologies to ensure the reliable communication especially for the low-power and lossy networks. The Routing Prot...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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Integrating bioinformatics and phytoremediation science into STEM education for environmental learning
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Integrating bioinformatics and phytoremediation science into STEM education for environmental learning
Queen Aguma et al · Springer · 2026 · ISSN 2731-5525
Abstract Integrating environmental science with STEM education can strengthen scientific literacy and technological fluency. This review synthesizes literature on phytoremediation-based instruction and proposes an interd...
LCC TENDOkVkdWNhdGlvbg~~Idioma eng
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Integrating UAV, environmental, and management data to improve rice nitrogen nutrition index prediction using an ensemble learning algorithm
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Integrating UAV, environmental, and management data to improve rice nitrogen nutrition index prediction using an ensemble learning algorithm
Zhaokai Ma et al · BMC · 2026 · ISSN 1471-2229
Abstract Background Accurate and timely estimation of nitrogen nutrition index (NNI) is critical for assessing crop nitrogen (N) status and implementing precision N management. While machine learning (ML) techniques comb...
LCC TENDOkJvdGFueQ~~Idioma eng
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DAGIS Salo cohort profile: a longitudinal and cross-sectional study to identify environmental and individual factors linked to health behaviours, recovery from stress, weight and learning outcomes among Finnish schoolchildren
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DAGIS Salo cohort profile: a longitudinal and cross-sectional study to identify environmental and individual factors linked to health behaviours, recovery from stress, weight and learning outcomes among Finnish schoolchildren
Josefine Kailaheimo-Björkqvist et al · BMC · 2026 · ISSN 1471-2458
Abstract Background The global prevalence of childhood obesity has increased significantly, with World Health Organisation emphasising the importance of early childhood for promoting healthy growth and development. In Fi...
LCC LCC:Public aspects of medicineIdioma eng
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Predicting skeletal fluorosis severity using machine learning across diverse fluoride-exposed populations in China
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Predicting skeletal fluorosis severity using machine learning across diverse fluoride-exposed populations in China
Hongjiang Long et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Skeletal fluorosis (SF) is a chronic metabolic bone disease resulting from long-term excessive fluoride exposure, affecting millions worldwide. Conventional diagnosis relies on radiographic evidence, which often...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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D2EBTN: Deep stacked dual learning ensembled attentional-based deep learning model for malware detection in the cloud
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D2EBTN: Deep stacked dual learning ensembled attentional-based deep learning model for malware detection in the cloud
Afnan M. Alhassan et al · Springer · 2026 · ISSN 1319-1578
Abstract Cloud computing is quite popular because of its scalability and flexibility merits. However, faces significant security risks from malware, which exploits infrastructure weaknesses to cause unauthorized access, ...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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A study on learners’ emotion classification based on an improved convolutional neural network algorithm in online teaching and learning
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A study on learners’ emotion classification based on an improved convolutional neural network algorithm in online teaching and learning
Yiling Chen et al · PeerJ Inc · 2026 · ISSN 2376-5992
With the rapid advancement of online education, students’ sentiment feedback serves as a pivotal factor in enhancing course quality and refining pedagogical strategies. However, conventional sentiment analysis approach...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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A temporal attention-based hybrid deep learning model for student performance and academic risk prediction
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A temporal attention-based hybrid deep learning model for student performance and academic risk prediction
Assel Omarbekova et al · Frontiers Media S.A · 2026 · ISSN 2624-8212
This work presents a hybrid deep learning approach for identifying students who are likely to experience academic difficulties in virtual learning environments. The proposed framework is evaluated on the Open University ...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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Dynamic matching strategy for college students’ innovative training projects based on reinforcement learning optimization
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Dynamic matching strategy for college students’ innovative training projects based on reinforcement learning optimization
Xiao Ju et al · Springer · 2026 · ISSN 2731-0809
Abstract Matching college students with appropriate innovative training projects is a challenging task that often relies on static assignment techniques, which overlook individual interests, skills, and learning styles. ...
LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma eng
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Enhancing religious character through a technology-based learning model in boarding school: examining the influence of wellbeing, critical thinking skills, and social skills as moderator variables
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Enhancing religious character through a technology-based learning model in boarding school: examining the influence of wellbeing, critical thinking skills, and social skills as moderator variables
Abd. Madjid et al · Frontiers Media S.A · 2026 · ISSN 2504-284X
Technology-based learning is increasingly integrated into school environments, yet its role in students' moral and psychosocial development remains underexplored. This study investigates the relationship between technolo...
LCC TENDOkVkdWNhdGlvbiAoR2VuZXJhbCk~Idioma eng
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Integrating Assessment for Learning with Differentiated Instruction to Foster Students’ Mathematical Resilience
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Integrating Assessment for Learning with Differentiated Instruction to Foster Students’ Mathematical Resilience
Fatimah Ade Evi et al · De Gruyter · 2026 · ISSN 2544-7831
Mathematical resilience is crucial for students’ academic success, yet many teaching methodologies overlook the anxiety and negative attitudes frequently associated with learning mathematics. This study examines the im...
LCC TENDOkVkdWNhdGlvbg~~Idioma eng
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Living with generative AI: considering constructionist approaches to learning and methodological implications of process ontologies
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Living with generative AI: considering constructionist approaches to learning and methodological implications of process ontologies
Jimin Lee et al · Frontiers Media S.A · 2026 · ISSN 2504-284X
The growing presence of generative artificial intelligence (GenAI) in educational practice raises questions about how learners and educators live with AI and reshapes questions about how learning unfolds across contempor...
LCC TENDOkVkdWNhdGlvbiAoR2VuZXJhbCk~Idioma eng
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Profiling perceived challenges in Mathematics in the Modern World to inform Math-RetoKiSS: a data-informed blended learning support system for 21st-century mathematics learning in a Philippine university
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Profiling perceived challenges in Mathematics in the Modern World to inform Math-RetoKiSS: a data-informed blended learning support system for 21st-century mathematics learning in a Philippine university
Imelda M. Flores et al · Frontiers Media S.A · 2026 · ISSN 2504-284X
Mathematics in the Modern World (MMW) is a core general education course that develops quantitative reasoning and applied problem solving, yet many first-year students struggle with its concepts and applications. Such ch...
LCC TENDOkVkdWNhdGlvbiAoR2VuZXJhbCk~Idioma eng
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Project-based learning in STEAM subjects for socioformation: a systematic review of contributions, prevalence, and challenges [version 2; peer review: 1 approved, 2 approved with reservations]
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Project-based learning in STEAM subjects for socioformation: a systematic review of contributions, prevalence, and challenges [version 2; peer review: 1 approved, 2 approved with reservations]
Alphonse Uworwabayeho et al · F1000 Research Ltd · 2026 · ISSN 2046-1402
While traditional Project-based Learning (PjBL) enhances engagement, creativity, and conceptual understanding, emerging socioformative approaches are pedagogies that highlight the need for interdisciplinary, ethically gr...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Supporting self-regulated learning through generative AI feedback in online higher education: the importance of student perceptions of the source of feedback
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Supporting self-regulated learning through generative AI feedback in online higher education: the importance of student perceptions of the source of feedback
Mutluhan Yilmaz et al · SpringerOpen · 2026 · ISSN 2365-9440
Abstract Given the increased autonomy and limited direct instructor presence in online learning settings necessitating advanced self-regulated learning skills (SRLs), many online students face significant learning diffic...
LCC TENDOlNwZWNpYWwgYXNwZWN0cyBvZiBlZHVjYXRpb24~; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng
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The effect of AI-assisted problem-based learning strategies on civic education learning outcomes
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The effect of AI-assisted problem-based learning strategies on civic education learning outcomes
Ni Wayan Suarniati et al · Universitas Muhammadiyah Malang · 2026 · ISSN 2809-0284
Background-This study examines the effectiveness of ChatGPT-assisted Problem-Based Learning (PBL) in improving student learning outcomes in civic education. Traditional PBL often relies on tutor facilitation, which can r...
LCC TENDOkVkdWNhdGlvbg~~Idioma eng
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ASSESSING STUDIO-BASED TEACHING AND LEARNING (SBTL) THROUGH PHYSICAL AND VIRTUAL CLASSROOM AMONG POSTGRADUATE STUDENTS
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ASSESSING STUDIO-BASED TEACHING AND LEARNING (SBTL) THROUGH PHYSICAL AND VIRTUAL CLASSROOM AMONG POSTGRADUATE STUDENTS
Hamizah Yakob et al · Universiti Teknologi MARA, Negeri Sembilan · 2026 · ISSN 2289-6368
Design studio projects are fundamental to environmental education, as they facilitate the integration of theoretical knowledge with creative practice through experiential, collaborative, and reflective learning. This s...
LCC TENDOlNjaWVuY2U~; TENDOlNvY2lhbCBTY2llbmNlcw~~Idioma eng
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An ensemble learning approach for detecting bacterial infections using chest X-ray imaging
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An ensemble learning approach for detecting bacterial infections using chest X-ray imaging
Himanshu Jindal et al · Springer · 2026 · ISSN 3004-9261
Abstract Background Bacterial diseases include any illness caused by bacteria. Bacteria are tiny microorganisms that can only be seen with a microscope. Other types of microorganisms include viruses, fungi, and some para...
LCC LCC:Science (General)Idioma eng
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