Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Dong Haur Phua

Biographic Data

ID9557005
NAMEDong Haur Phua
GIVEN NAMESDong Haur
FAMILY NAMEPhua
SIGNATUREPHUA D H
AFFILIATIONSNanyang Technological University
ORCID0009-0009-5408-9614
VERIFIEDYes
TOTAL WORKS4
TOTAL CITATIONS0
WORKS AS AUTHOR4
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Shared tensions and contextual adaptations in programmatic assessment reform

    Zheng-Wei Lee, Li Li et al.•ARTICLE•Medical Teacher•2026

    In this issue of Medical Teacher, Torre and colleagues report a conceptual analysis of programmatic assessment (PA) implementation in Indonesia [1]. Drawing on implementation science frameworks, th

  • Introducing a data-driven learning progress dashboard for programmatic assessment

    Olivia Ng, Zheng-Wei Lee et al.•ARTICLE•Medical Teacher•2026

    Programmatic Assessment (PA) relies on the integration of diverse data sources to deliver holistic feedback that supports student learning. However, the complexity and volume of assessment data can hinder efficient tracking and interpretation, challenging the implementation of PA's principles. To address these challenges, we developed the Learning Progress Dashboard (LPD) - a bespoke technological-enhanced solution and infrastructure designed for…

  • Rethinking assessment in the context of AI

    Olivia Ng, Dong Haur Phua•ARTICLE•Medical Teacher•2025

    Dear EditorWe read with interest the work of Antoniou et al. [1], which provides valuable insights into the evolving role of generative artificial intelligence (AI) in medical education and its pot

  • Navigating complexity in a new proposed OSCE feedback model

    Olivia Ng, Zheng-Wei Lee et al.•ARTICLE•Medical Teacher•2024

    Dear Editor,We read with interest Guillon et al.’s (2024) work, which proposes a new approach to providing personalised feedback in objective structured clinical examinations (OSCE). While OSCE is

No prominent works on this page.

  • Navigating complexity in a new proposed OSCE feedback model

    Olivia Ng, Zheng-Wei Lee et al.•ARTICLE•Medical Teacher•2024

    Dear Editor,We read with interest Guillon et al.’s (2024) work, which proposes a new approach to providing personalised feedback in objective structured clinical examinations (OSCE). While OSCE is

  • Rethinking assessment in the context of AI

    Olivia Ng, Dong Haur Phua•ARTICLE•Medical Teacher•2025

    Dear EditorWe read with interest the work of Antoniou et al. [1], which provides valuable insights into the evolving role of generative artificial intelligence (AI) in medical education and its pot

  • Shared tensions and contextual adaptations in programmatic assessment reform

    Zheng-Wei Lee, Li Li et al.•ARTICLE•Medical Teacher•2026

    In this issue of Medical Teacher, Torre and colleagues report a conceptual analysis of programmatic assessment (PA) implementation in Indonesia [1]. Drawing on implementation science frameworks, th

  • Introducing a data-driven learning progress dashboard for programmatic assessment

    Olivia Ng, Zheng-Wei Lee et al.•ARTICLE•Medical Teacher•2026

    Programmatic Assessment (PA) relies on the integration of diverse data sources to deliver holistic feedback that supports student learning. However, the complexity and volume of assessment data can hinder efficient tracking and interpretation, challenging the implementation of PA's principles. To address these challenges, we developed the Learning Progress Dashboard (LPD) - a bespoke technological-enhanced solution and infrastructure designed for…

Medical education (3 works) · Medicine (3 works) · Psychology (3 works) · Computer Science (2 works) · Context (archaeology) (2 works) · Adaptation (eye) (1 work) · Clinical Reasoning and Diagnostic Skills (1 work) · Dashboard (1 work) · Data science (1 work) · Evaluation and Performance Assessment (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae