A scoping review of computational thinking assessments in higher education. - Chang Lu 002; Rob MacDonald; Bryce Odell; Vasyl Kokhan; Carrie Demmans Epp; Maria Cutumisu (J. Comput. High. Educ., 2022)

Using Structural Equation Modeling to Examine the Relationship Between Preservice Teachers' Computational Thinking Attitudes and Skills. - Maria Cutumisu; Catherine Adams; Florence Glanfield; Connie Yuen; Chang Lu 002 (IEEE Trans. Educ., 2022)

Learning Outcome Modeling in Computer-Based Assessments for Learning: A Sequential Deep Collaborative Filtering Approach. - Fu Chen; Chang Lu 002; Ying Cui; Yizhu Gao (IEEE Trans. Learn. Technol., 2023)

Examining adults' behavioral patterns in a sequence of problem solving tasks in technology-rich environments. - Qin Wang; Amin Mousavi; Chang Lu 002; Yizhu Gao (Comput. Hum. Behav., 2023)

Using learners' problem-solving processes in computer-based assessments for enhanced learner modeling: A deep learning approach. - Fu Chen; Chang Lu 002; Ying Cui (Educ. Inf. Technol., 2024)

Growth mindset mediates the relationship between computational thinking and programming self-efficacy. - Chenyue Wang; Chang Lu 002; Fu Chen; Xueliang Liu; Qin Zhao; Shuai Wang 022 (Educ. Inf. Technol., 2024)

Internet usage inequality among high school students: Patterns, motivational predictors, and educational outcomes. - Xiaofei Li; Fu Chen; Chang Lu 002 (Comput. Educ., 2025)