Higher education requires flexible learning models that combine digital accessibility, collaboration, and meaningful learning while accommodating differences in students’ technological readiness. However, limited research has examined how collaborative project-based hybrid learning supports adaptive learning among stud...
Wachidi, E. Risdianto, Joseline Santos et al.· Online Learning In Education...· 0 citations
This study aims to provide an in-depth analysis of the impact of mathematics textbooks on learning obstacles and student performance in the topic of systems of linear inequalities in two variables. Employing a qualitative interpretative approach with a hermeneutic phenomenological design, the research examines mathemat...
Anton Nasrullah, D. Suryadi, S. Prabawanto et al.· Discover Education· 0 citations
Whether students perceive the AI learning companion as “genuinely useful” matters more for their adoption than whether it is “easy to use,” and this adoption is further associated with the development of higher-order thinking.
Yi-Ting Qiu, Wen Liu, Wen-Jie Zhang et al.· International Education Foru...· 0 citations
The reproducible engineering process for building a ground truth-validated dataset for deteriorated Old Sundanese manuscripts from the Geusan Ulun Museum in Indonesia is described and can be applied to low-resource historical scripts, connecting cultural heritage and computational modeling.
Yurika Permanasari, Budi Nurani, S. Hadi et al.· Engineering, Technology &...· 0 citations
The pipeline approach ensured no data leakage in cross-validation, and the findings support ensemble ML models with SMOTE as a preprocessing step for imbalanced CVD datasets.
M. Maindarkar· Journal of Intelligent Decis...· 0 citations
The SmartFire Vision framework provides a highly capable and computationally efficient means of fire detection, is particularly beneficial for CCTV-based smart city surveillance, and shows promising computational efficiency on desktop-class GPUs, though dedicated edge-hardware validation remains a direction for future...
Muhammad Azhar, Muhammad Arman, Asma Iqbal et al.· Information· 0 citations
This paper proposes ThemePath-RAG, a retrieval framework that retrieves curated thematic paths as high-recall semantic routes, expands candidate canonical evidence, and applies query-aware scoring and global pruning before generation.
Winda Monika, D. A. Dewi, A. Nasution et al.· Information· 1 citation
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