Developing Computational Thinking Assessments for Elementary Students: Connecting Cognition, Observation, and Interpretation. - Brian D. Gane; Noor Elagha; Feiya Luo; Ruohan Liu; Wei Yan; Carla Strickland; Diana Franklin; Kathryn Rich; James Pellegrino; Maya Israel (ICLS, 2020)

Video Analysis of Student Challenges and Interactions in Computational Thinking-integrated Botany. - Ruohan Liu; Feiya Luo; Maya Israel (SIGCSE, 2020)

Understanding Students' Computational Thinking through Cognitive Interviews: A Learning Trajectory-based Analysis. - Feiya Luo; Maya Israel; Ruohan Liu; Wei Yan; Brian D. Gane; John Hampton (SIGCSE, 2020)

Exploring the evolution of two girls' conceptions and practices in computational thinking in science. - Feiya Luo; Pavlo D. Antonenko; E. Christine Davis (Comput. Educ., 2020)

What Do We Know about Assessing Computational Thinking? A New Methodological Perspective from the Literature. - Ruohan Liu; Feiya Luo; Maya Israel (ITiCSE (1), 2021)

Exploring Elementary Students' Debugging Behaviors in Puzzle-based Programming: A Learning Trajectory Approach. - Wei Yan; Maya Israel; Feiya Luo; Ruohan Liu (SIGCSE, 2021)

Design and validation of learning trajectory-based assessments for computational thinking in upper elementary grades. - Brian D. Gane; Maya Israel; Noor Elagha; Wei Yan; Feiya Luo; James W. Pellegrino (Comput. Sci. Educ., 2021)

Elementary Students' Understanding of Variables in Computational Thinking-Integrated Instruction: A Mixed Methods Study. - Feiya Luo; Wei Yan; Ruohan Liu; Maya Israel (SIGCSE (1), 2022)

Elementary Computational Thinking Instruction and Assessment: A Learning Trajectory Perspective. - Feiya Luo; Maya Israel; Brian D. Gane (ACM Trans. Comput. Educ., 2022)

How are Elementary Students Demonstrating Understanding of Decomposition within Elementary Mathematics? - Maya Israel; Jiehan Li; Wei Yan; Noor A. Elagha; Anne Corinne Huggins-Manley; Feiya Luo; Diana Franklin (ICER (1), 2023)

LITI: Learning with Interactive Time Series Information. - Myles Lewis; Amanda K. Holloman; Feiya Luo; André R. Denham; Chris S. Crawford (VL/HCC, 2023)

Novel Insights into Elementary Girls' Experiences in Physiological Computing. - Feiya Luo; Ruohan Liu; Idowu David Awoyemi; Chris S. Crawford; Fatema Nasrin (SIGCSE (1), 2024)

PhysioML: A Web-Based Tool for Machine Learning Education with Real-Time Physiological Data. - Bryan Y. Hernández-Cuevas; Myles Lewis; Wesley Junkins; Chris S. Crawford; André R. Denham; Feiya Luo (SIGCSE (1), 2025)

Collaborative Design of a Week-long Physiological Computing Summer Camp with Elementary Teachers. - Feiya Luo; Amy Hutchison; Chris S. Crawford; Fatema Nasrin; Idowu David Awoyemi (SIGCSE (2), 2025)