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This study aims to determine whether the Civic Community Learning model that uses the Citizenship Economics approach, which can improve the acquisition of learning outcomes and student learning activities in the Advanced...

Forest growth and yield projection is essential for sustainable forest management planning. In Brazil, the Clutter model is widely applied for yield forecasting and commonly achieves prediction errors below 10%. However,...

Abstract Backgrounds Neoadjuvant chemoradiation (nCRT) is a standard treatment for rectal carcinoma that reduces tumor size and local recurrence while improving the rate of sphincter preservation. However, many patients ...

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...

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...

: Penelitian ini bertujuan mengembangkan model pembelajaran literasi berbasis pendekatan deep learning bagi siswa kelas VIII SMP Muhammadiyah 13 Gresik sebagai respons atas rendahnya kemampuan literasi membaca dan menul...

The article contains a feasibility analysis of using big data of payment systems for building forecasting models for the dynamics of consumer demand as a core factor of the retail turnover. The relevance of this research...

This research aims at (1)producing a valid and practical LKS (Student Worksheet) in discovery learning model in two circles intersection material in class XI, and (2) to find out the potential effect toward the learning ...

The research aims to produce a valid and practical LKS based on discovery learning model and also having potential effect. This type of research is Development Study of Design Research. The subject of this research were ...

The purpose of this study was to develop valid, practical, and effective learning using the GeoGebra-assisted Contextual Teaching & Learning (CTL) learning model using the Flipped Learning model to improve the mathematic...

Purpose – this study differs from previous research in that it focuses on developing the DCALL model in writing learning. The main target is students' writing skills in any text, supported by an application integrated ...

Student learning achievement in Indonesia is low, this is because there are still many students who experience difficulties in learning geometry. To overcome these problems a way is needed so that students can understand...

This study aims to determine the improvement of mathematical connection capability and self efficacy of students who have learned by Cooperative Learning Model Type Rotating Trio Exchange (RTE) compared to students who r...

Background: The use of Artificial Intelligence (AI) technologies in teaching and learning at universities is unavoidable trend in the Industry 4.0 age. This study uniquely integrates the 5E learning model with ChatGPT in...

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-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...

BackgroundThe prevalence of chronic diseases among the Chinese occupational population is rising steadily, with hypertension and diabetes becoming important health concerns. Occupational health examinations (OHE) provide...

ObjectiveCongenital Hypogonadotropic Hypogonadism (CHH) is a rare disease with an extremely low incidence, and the outcomes of fertility induction therapy in CHH patients exhibit significant interindividual heterogeneity...

ABSTRACT Plant diseases are the cause of heavy losses of crop production and, therefore, a big contributor to food shortages. Identifying these diseases as early as possible is important to limit the negative effects tha...

The purpose of this study is to determine how the gamification-based OIDECCA learning model has an impact on students' motivation to excel in Natural Sciences (IPA) subjects in grade VII at SMP Negeri 6 Siak Hulu, Kampar...

Deep learning offers a novel opportunity to achieve both high-quality and high-speed computer-generated holography (CGH). Current data-driven deep learning algorithms face the challenge that the labeled training datasets...

Nazgul Omarbekova,1 Berik Koichubekov,1 Khamida Abdikadirova,2 Marina Sorokina,1 Azamat Kharin,1 Manshuk Nurmaganbetova3 1Department of Informatics and Biostatistics, Karaganda Medical University, Karaganda, Kazakhstan; ...

People learn from experience, but with considerable individual differences in the degree and type of behavioral adjustments resulting from a given experience. Error driven learning rules provide an elegant framework for ...

Heart disease is rapidly increasing. For early and accurate prediction, advanced machine learning (ML) models are needed. However, the sensitive nature of clinical data, along with strict regulatory constraints, creates ...