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Game-based learning in vocabulary teaching: effects on retention and engagement among non-English majors at FPT UniversityInvestigating effective vocabulary acquisition strategies for non-English majors, this research examines the impact of incorporating game-based learning (GBL) activities into the curriculum for... Author: Nguyen Loan Thi Keyword: game-based learning vocabulary instruction non-English major students educational games English as a Foreign Language (EFL) higher education.
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Problem-solving and creativity competencies of Vietnamese school students: current practices, barriers, and development orientations through a systematic reviewProblem-solving and creativity competence is one of the three core general competencies specified in the 2018 Vietnamese General Education Curriculum, reflecting learners’ abilities to identify and... Author: Hang Nguyen Thi My, Tra Ho Thi Thanh, Ha Nguyen Hoang, Anh Ly Ngoc, Trang Nguyen Thi Thuy, Huy Dinh Quang, Tuan Dang Viet Keyword: Problem-solving and creativity competence students Vietnam PRISMA systematic review
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Relationship between proactive engagement and learning effectiveness in political theory courses among university students: a survey of universities in Ho Chi Minh cityThis study aims to clarify the relationship between proactive engagement and students’ learning effectiveness in political theory courses at universities in Ho Chi Minh City. Building upon traditional... Author: Phong Nguyen Linh Keyword: Proactive engagement Learning effectiveness Political theory Engagement model University students
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TFC-MAL: application of Triplet Loss for malware detection based on image representationDetecting polymorphic and zero-day malware remains a significant challenge due to the high similarity in characteristics between malicious variants and benign files, which reduces the effectiveness of... Author: Mai Dang Thi, Hien Dinh Cong Keyword: Malware detection Image-based malware analysis deep learning Triplet Loss zero-day malware
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Political and ideological education for university students on cyberspaceIn the context of rapid digital transformation and deep international integration, political and ideological education for students in cyberspace has become an urgent task to safeguard the ideological... Author: Gian Nguyen Thi Ha Keyword: Ideological and political affairs political and ideological education cyberspace digital transformation
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An Empirical Analysis of Code Complexity and Its Impact on Software Defect DensityThis study investigates the relationship between software complexity metrics and defect density using five NASA-PROMISE datasets (JM1, CM1, KC1, KC2, and PC1). Five widely validated complexity... Author: Hien Doan Thi Thuy Keyword: Software defect prediction Software complexity metrics NASA-PROMISE Random Forest SMOTE Feature importance.
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Phishing email detection using temporal behavioral modeling and transformer architecturesThis study addresses the challenge of effectively detecting phishing email campaigns that exhibit increasingly sophisticated and sequential behaviors. The primary objective is to develop a detection... Author: Hien Dang Thi, Duyen Tran Thi Keyword: Phishing detection email security temporal analysis transformer models multi-email sequence analysis BiLSTM urgency score suspicious score
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Study on the implementation of community-based instruction in grade 2 Natural and Social sciences in Binh Chanh district, Ho Chi Minh CityCommunity-based instruction is one of the innovative educational approaches aimed at improving educational quality and contributing to developing a sustainable society. This study evaluates teachers'... Author: Nguyen Minh Giang Keyword: Community-based instruction Natural and Social sciences primary school students Binh Chanh Ho Chi Minh City.
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Applying the Autoencoder model for URL phishing detectionIn the era of digital transformation, alongside the rapid devel-opment of the Internet and online applications, phishing at-tacks targeting users through malicious URLs have been in-creasingly... Author: Mai Dang Thi Keyword: URL Phishing detection Autoencoder latent space
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A study on machine learning-based approaches for early detection of Parkinson’s diseaseParkinson’s disease (PD) is a progressive neurodegenerative disorder characterized by the gradual loss of dopaminergic neurons in the brain, leading to both motor and non-motor symptoms. This study... Author: Huong Tran Thi Keyword: Parkinson’s Disease Early Diagnosis Machine Learning XGBoost Random Forest Clinical Data Analysis
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