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  • Item type:Publication,
    Developing a Gender Equity, Diversity, and Inclusivity (GEDI)-responsive curriculum framework for Philippine higher education: a qualitative case study of faculty perspectives Open PDF 
    (Frontiers Media SA, 2026-01-07)
    Castulo, Nilo Jayoma
    ;
    De Vera, Jayson Luciano
    ;
    Buenaventura, Ma. Laarni
    ;
    Sebial, Starr Clyde Lumanta
    ;
    Aquino, John Michael Del Rosario
    Introduction Gender Equity, Diversity, and Inclusivity (GEDI) have become essential components of higher education reform; however, their integration into Philippine higher education curricula remains inconsistent. Thus, this study explored GEDI faculty members’ perspectives on integrating GEDI concepts into higher education. It proposes a responsive curriculum framework aligned with national mandates and global sustainable development goals. Methodology A descriptive qualitative case study was conducted involving 19 faculty members from various higher education institutions in the Philippines. Data were gathered through online Key Informant Interviews (KIIs) and relevant document reviews. Thematic analysis using Atlas.ti 25 guided the coding and interpretation processes, complemented by member checking, reflexivity through the COREQ checklist, and triangulation to strengthen the analytical rigor. Results The findings revealed that faculty members perceived GEDI integration as largely symbolic, with vague mentions in syllabi but insufficient curricular outcomes. Key gaps included (1) uneven implementation across disciplines (stronger in Social Sciences/Education vs. STEM), (2) non-standardized GEDI strategies, (3) faculty resistance and inadequate training, (4) marginalization of underrepresented identities in content, and (5) weak policy enforcement. A four-layer GEDI-Responsive Curriculum Framework ( macro, meso, micro, nano ) was proposed to embed intersectionality, contextual relevance, and accountability across all educational levels. This research bridges policy-practice gaps by aligning with the local and international higher education curriculum and emphasizing intersectionality, localized reforms, and measurable competencies (e.g., empathy, critical gender consciousness). The findings of the study are context-specific to selected Philippine regions, and broader applicability requires further validation. Underrepresented contexts (e.g., Indigenous Peoples and disability-specific programs) were minimally covered. Future research should broaden geographic coverage and pilot systematic feedback systems to evaluate the applicability and sustainability of the framework across diverse higher education contexts.
  • Item type:Publication,
    Female Authorship Trends Among Articles About Artificial Intelligence in North American Radiology Journals Open PDF 
    (2023)
    Yan, T.D.
    ;
    Yuan, P.H.
    ;
    Saha, T.
    ;
    Lebel, K.
    ;
    Spalluto, L.
    Purpose: To examine trends in female authorship of peer-reviewed North American radiology articles centred around artificial intelligence (AI). Method: A bibliographic search was conducted for all AI-related articles published in four North American radiology journals. Collected data included the genders of the first and last (senior) authors, year and country. We compared the trends of female authorship using Pearson chi-square, Fisher exact tests and logistic regression models. Results: 453 articles met the inclusion criteria. Among these, 107 (22.3%) had a female first author and 97 (27.3%) had a female senior author. Female first authors were over three times more likely to publish with a female senior author. Among the four journals, the CARJ had the highest proportion of female senior authors at 45.5%. The only significant temporal trend identified was an increase over the years in female senior authors in Radiology. Twenty-four countries contributed to the included articles, with the largest contributors being the United States (n = 290) and Canada (n = 30). Of the countries contributing more than 15 articles, there were none with above 50% female authorship. Conclusions: Female authors are underrepresented in AI-related radiology literature. However, there has been an encouraging recent increase in female authorship in AI-related radiology articles trending towards significance. There is a great opportunity to improve female representation in AI with intentional mentorship and recruitment. We urge more platforms for female voices in radiology as AI becomes increasingly integrated into the radiology community. © The Author(s) 2022.