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This study aims to determine the differences in students' mathematical representations through the Problem Based Learning (PBL) model assisted by GeoGebra and Realistic Mathematics Education (RME) models, differences in ...

Creative thinking is one of the competencies needed in the Industrial Revolution 4.0, where change is very dynamic, so it must be balanced with an irregular way of thinking. This study analyzes the effect of the project-...

One of the important aspects in learning mathematics is problem-solving process ability that can be applied in real life. The purpose of this study is to assess the result of differences in the ability of students' mathe...

Model-based reinforcement learning (RL) is anticipated to exhibit higher sample efficiency than model-free RL by utilizing a virtual environment model. However, obtaining sufficiently accurate representations of environm...

Abstract Effort estimation remains a persistent challenge in agile software development, particularly at the user story level where iterative delivery is emphasized. Inaccurate estimations can result in misallocated reso...

Microscopic traffic flow models and simulations are crucial for capturing vehicle interactions and analyzing traffic. They can provide critical insights for transport planning, management, and operation through scenario ...

The study aims to develop a Project-Based Learning (PBL) blended learning strategy to enhance the human literacy skills of students taking Citizenship Education in higher education. The research uses the Research & Devel...

BackgroundChildhood obesity represents a significant global public health challenge. Accurate and rapid prediction models for identifying obesity risk in children and adolescents are essential for facilitating early prev...

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...

Adaptive learning systems require effective mechanisms to model students’ evolving learning states and provide personalized learning path recommendations. Traditional rule-based approaches are limited in capturing...

Background: Mastering speaking skills demands more than just theoretical knowledge; it also requires real-world application to foster meaningful and practical learning. In the Arabic Language Education Program at the ...

Abstract Background This study aims to explore spatial heterogeneity within tumors, establish and validate an interpretable machine learning model combining habitat radiomics and deep learning, and investigate its predic...

Abstract Background Blended learning, integrating traditional teaching with digital resources, has shown promise in medical education. The Radiology Assistant platform offers structured, case-based content that may addre...

This study aims to see the readiness of each educator in using knowledge-based learning models of technological pedagogic content in Civics learning. In this case, educators and lecturers play an important role in contro...

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 ...

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, ...

Car classification is important in daily life because there are many distinct types of automobiles made by various manufacturers. Although there are numerous methods for classifying autos, machine learning technologies h...

Background: Postpartum preeclampsia remains a significant contributor to maternal morbidity and mortality in Indonesia. Midwives, as frontline maternal health providers, are expected to deliver holistic care; however, st...

The paper presents the basic requirements that must cover distance education processes (“e-learning”) in universities. We show the concepts of instruction design, an adaptive learning model for evaluating necessities...

Aporta al profesorado todos los conocimientos y estrategias que necesita adquirir para llevar a cabo con éxito el modelo de aprendizaje inverso (flipped learning) que tan buenos resultados está dando a miles de profeso...

Do you think that higher education institutions, and the Distance Learning University (UNED) as a reference point for them, offer students of official Master's degrees the programmes they demand? Do you defend that the p...

Several interdisciplinary studies highlight imperfect information as a possible explanation of skill mismatches, which in turn has implications for unemployment and informality rates. Despite information failures and the...

This research emerged from the need of consolidating a meaningful bilingual methodology for children from three- to five-years-of-age from low socioeconomic backgrounds belonging to the public education system, where the...

El libro Desafíos que Transforman: Experiencias y Reflexiones sobre el Aprendizaje Basado en Retos" presenta las claves de un modelo académico innovador centrado en la colaboración entre la universidad, las empresas y...