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Teaching Advanced Mathematics for Economics Students in Alignment with Programme Learning Outcomes under the AUN-QA Framework: A Case Study at Lac Hong University, Vietnam

open access: yesVietnam Journal of Education
The AUN-QA framework requires programs to demonstrate coherence among expected learning outcomes, curriculum design, teaching and learning strategies, assessment, and evidence-based continuous improvement.
Hoan Van Tran
doaj   +4 more sources

Preparation and characterization of FsHA/FsCol beads: Cell attachment and cytotoxicity studies

open access: yesHeliyon, 2023
The present study was conducted to prepare the fish scales' hydroxyapatite/collagen beads (FsHA/FsCol) and characterize their biological, physical, and chemical properties.
Mustafa Mudhafar   +5 more
doaj   +1 more source

Quality Assurance Framework for the Design and Delivery of Virtual, Real-Time Courses

open access: yesInformation, 2021
Designing and delivering outcome-based courses that emphasize learner-centric educational discourse and active learning is challenging, especially in online learning environments. Ensuring quality in the design and delivery of such courses in the virtual
Marcel Karam   +2 more
doaj   +1 more source

Stokes posets and serpent nests [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2016
30 pages, 12 ...
Frédéric Chapoton
doaj   +1 more source

From data to experience: Can metaverse-based stores enhance parental purchase behavior in infant and children's apparel?

open access: yesTelematics and Informatics Reports
The emergence of immersive technologies has introduced metaverse-based retail environments that reshape consumer experiences and decision-making. However, limited research has examined how these environments influence parental purchasing behavior in ...
Mohsen Rahmani   +3 more
doaj   +1 more source

MaRVL-QA: A Benchmark for Mathematical Reasoning over Visual Landscapes

open access: yesCoRR
A key frontier for Multimodal Large Language Models (MLLMs) is the ability to perform deep mathematical and spatial reasoning directly from images, moving beyond their established success in semantic description. Mathematical surface plots provide a rigorous testbed for this capability, as they isolate the task of reasoning from the semantic noise ...
Nilay Pande   +3 more
openaire   +2 more sources

Interpretability in deep learning for finance: A case study for the Heston model

open access: yesRisk Sciences
Deep learning is a powerful tool whose applications in quantitative finance are growing every day. Yet, artificial neural networks behave as black boxes, and this introduces risks, hindering validation and accountability processes.
Damiano Brigo   +3 more
doaj   +1 more source

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