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Self-Directed Learning merupakan model belajar mandiri yang memberikan kebebasan bagi siswa untuk mengidentifikasi kebutuhan belajar mereka, menetapkan tujuan pembelajaran, menemukan sumber belajar, memilih dan menggunak...

Abstract Model predictive control is widely used in the design of autonomous driving algorithms. However, its parameters are sensitive to dynamically varying driving conditions, making it difficult to be implemented into...

Background: Students with quadriplegia often encounter significant barriers to participation in physical education due to limited mobility and the lack of structured adaptive learning models. Despite the potential of boc...

Abstract Purpose This study aimed to identify the effectiveness of free water MRI (FW-MRI) features for predicting amyloid-beta (Aβ) statuses in Alzheimer’s disease (AD) by constructing diagnostic models using machine...

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; ...

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 ...

Desain model pembelajaran untuk membangun kemitraan sekolah dan orang tua siswa belum banyak dikembangkan, sementara dalam banyak literatur ditemukan bahwa partisipasi orang tua dalam proses pendidikan di sekolah sangat ...

ObjectiveDespite the widespread use of immune checkpoint inhibitors (ICIs) improving survival outcomes in non-small cell lung cancer (NSCLC) patients, immune-related adverse events (irAEs) triggered by ICIs have become a...

Purpose – This study aimed to examine the effectiveness of Ethnomathematics-based Problem-Based Learning (PBL) and Ethnomathematics-based Student Teams Achievement Division (STAD) in enhancing students' Mathematical Cr...

This study examines how Activity-Based Learning (ABL) relates to competencies for a knowledge-based economy (KBE) and addresses limited evidence from non-Western higher education contexts. A cross-sectional survey of 481...

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...

This study aims to examine the improvement of students' self-efficacy in the linear program after learning model of learning problem based learning (PBL) and conventional learning in terms of overall and KAM (high, mediu...

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,...

ObjectiveTo address the issues of parameter optimization and prediction accuracy of the surface roughness of spiral bevel gears, and to overcome the limitations of traditional methods in effectively handling complex nonl...

Machine learning has arisen with advanced data analytics. Many factors influence crop yield, such as soil, amount of water, climate, and genotype. Determining factors that significantly influence yield prediction and ide...

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...

This study showcases the use of Design-Based Research (DBR) applied to the development of Case-Directed Learning (CDL), a new, clinically contextualized teaching method designed to better support critical thinking, clini...

Abstract Early and reliable smoke detection is critical for preventing fire-related disasters, safeguarding human lives, and ensuring infrastructure safety. Conventional sensor-based systems, however, are often constrain...

Deep learning models are widely used in traffic forecasting and have achieved state-of-the-art prediction accuracy. However, their black-box nature presents challenges for interpretability and usability, particularly whe...

Abstract Journaling enables students to reflect on their learning processes and thereby strengthen their self-regulation, a key competency for meeting academic goals. Previous work has shown that students benefit from di...

The development of technology and the world of education today requires complex thinking. Technology can be used to make the learning process easier, more interesting, and more enjoyable. However, learning must continue ...

Lifeng Yao, Yijun Chen, Jing Shen, Junge Zhang, Yiwei Zhang, Guojin Liang, Yiqin Ji Department of Anesthesiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, People’s Republic of ChinaCorrespo...

This study addresses the limited availability of empirically validated differentiated learning models for inclusive elementary classrooms within the Merdeka Curriculum. It aims to develop and examine the feasibility, pra...

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. ...