Phát triển khung đánh giá năng lực thống kê ứng dụng và phân tích dữ liệu cho ngành khoa học xã hội Việt Nam

Các tác giả

  • Trần Trung Bộ Dân tộc và Tôn giáo
  • Trần Thiện Vũ Trường Đại học Công nghệ thông tin và Truyền thông Việt - Hàn, Đại học Đà Nẵng
  • Phạm Hùng Hiệp Viện Nghiên cứu Giáo dục và Chuyển giao tri thức, Trường Đại học Thành Đô
  • Lương Trâm Anh Trường Đại học Kinh tế - Đại học Quốc gia Hà Nội
  • Trịnh Thị Phương Thảo Trường Đại học Sư phạm - Đại học Thái Nguyên

Tóm tắt

Competency-based education has gained prominence in contemporary education and training systems. Unlike traditional teaching-centered curricula, outcomes-based learning prioritizes the development of measurable competencies. Despite its importance, there is a lack of a competency framework for applied statistics and data analytics in social sciences within Vietnam’ higher education context, particularly in the transition to digital transformation and big data. This present study addresses this gap through a two-phase research design. Phase one involves a systematic analysis of current curricula from Vietnamese higher education institutions and a synthesis of relevant international competency frameworks. Phase two involves a four-round expert panel discussion to refine and validate the proposed framework. The resulting comprehensive competence framework for applied statistics and data analytics provides a valuable resource for learners, researchers, educators, and policymakers in Vietnam.

Tài liệu tham khảo

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Tải xuống

Đã Xuất bản

05.11.2026

Cách trích dẫn

Trần Trung, Trần Thiện Vũ, Phạm Hùng Hiệp, Lương Trâm Anh, & Trịnh Thị Phương Thảo. (2026). Phát triển khung đánh giá năng lực thống kê ứng dụng và phân tích dữ liệu cho ngành khoa học xã hội Việt Nam. Tạp Chí Giáo dục, 26(21), 1–6. Truy vấn từ https://tcgd.tapchigiaoduc.edu.vn/index.php/tapchi/article/view/6639

Số

Tập 26, số 21 (tháng 11/2026)

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