个人信息

部门：暨南大学广东智慧教育研究院

职称：讲师

学位：博士学位

个人简介

梁倩茹，暨南大学广东智慧教育研究院讲师，青蓝学者，中山大学本科，香港大学教育学院全奖博士、博士后。研究方向为教育测量与评估（如认知诊断模型及其应用）21世纪技能（如数字素养）和学生心理健康，近年在国际顶尖教育学期刊和会议发表多篇论文。作为骨干成员和项目管理员参与多项关于中国香港学生数字素养测评和数字化教学的大型研究项目，并发表多篇数字素养和数字化教育研究报告。

代表作

Liang, Q., de la Torre, J., & Law, N. (2021). Do background characteristics matter in Children’s mastery of digital literacy? A cognitive diagnosis model analysis. Computers in Human Behavior, 122, 106850. （教育技术顶刊，SSCI Q1 Top）

Liang, Q., de la Torre, J., & Law, N. (2023). Latent transition cognitive diagnosis model with covariates: A three-step approach. Journal of Educational and Behavioral Statistics, 0(0). （教育测量顶刊，SSCI Q2）

Law, N., Pan, Q, Tao, S., Liang, Q., Chen, L. L., Rao, N., Reichert, F., & de la Torre, J. (2023). Hong Kong Students’ Digital Citizenship Development 2019-2021. Findings From a Longitudinal Study. HKU Data Repository.  (著作)

Liang, Q., de la Torre, J., Larimer, M. E., & Mun, E.-Y. (in press). Mental health symptom profiles over time: A three-step latent transition cognitive diagnosis modeling analysis with covariates. In M. Stemmler, W. Wiedermann, & F. Huang (Eds.), Dependent data in social sciences research: Forms, issues, and methods of analysis (2nd ed.). New York: Springer （专书章节）

科研项目

项目骨干成员：Learning and Assessment for Digital Citizenship (Research Grants Council of the HKSAR Government, #T44-707/16/N, under the Theme Based Research Scheme, HKD 1,7820,000)

项目管理员：eCitizen Education 360: an extension of the Learning and Assessment for Digital Citizenship project (Research grant funding from The D.H. Chen Foundation, HKD 1,500,000)

PI: Assessing and comparing students' digital literacy skills before and during COVID-19: A longitudinal cognitive diagnosis model analysis (Faculty Research Fund 42nd Round, Faculty of Education, The University of Hong Kong, HKD 60,000)