Xiaofang (Sarah) Wang

I conduct comparative research on academic performance and segregation between schools, regions, sectors, and cultures, aiming to gain valuable insights into how education systems across different cultures and structures can be improved and made more equitable, effective, and efficient.

I also work on projects related to critical thinking, well-being, and the application of artificial intelligence in teaching and research. My strong interest and proficiency in various research methods and techniques, including quantitative methods, R, QCA, NCA, and the fundamentals of AI, drive my commitment to staying up to date with the latest advancements in my field.

I am interested in projects on the topics of large-scale assessments in education (especially PISA), education equity, effectiveness and efficiency, International Baccalaureate (IB) education, critical thinking, and concept-based curriculum and instruction, or using set-theoretic approaches (especially QCA).

I teach post-graduate courses on research foundations and international education.

我的研究项目是致力于了解并比较国家、地区、部门及学校之间的异同点，从而深入了解不同文化和结构下的教育系统，并力求找到更为公平、优质、高效的教育途径和教育政策。我还参与其他研究项目，例如批判性思维、学生身心健康以及人工智能在教学和研究中的应用。

我熟练掌握多种研究方法和技术，包括定量分析、R语言、定性比较分析（QCA）。同时，我也对必要条件分析（NCA）以及人工智能具有浓厚的兴趣。这些技能的熟练运用，将促使我更迅速全面地了解我所在领域的最新进展。