Work-in-progress - Developing an Evidence-Centered Model for Computational Thinking in Virtual Worlds with Children with Autism. - Alex Barrett 001; Nuodi Zhang; Fengfeng Ke; Jewoong Moon; Zlatko Sokolikj (iLRN, 2022)

Designing Conversational Agents to Support Student Teacher Learning in Virtual Reality Simulation: A Case Study. - Chih-Pu Dai; Fengfeng Ke; Nuodi Zhang; Alex Barrett 001; Luke West; Saptarshi Bhowmik; Sherry A. Southerland; Xin Yuan 001 (CHI Extended Abstracts, 2024)

Evaluation of an LLM-Powered Student Agent for Teacher Training. - Saptarshi Bhowmik; Luke West; Alex Barrett 001; Nuodi Zhang; Chih-Pu Dai; Zlatko Sokolikj; Sherry A. Southerland; Xin Yuan 001; Fengfeng Ke (EC-TEL (2), 2024)

LLM-supported Thematic Analysis: Evaluating GATOS Workflow on Complex Qualitative Data. - Chaewon Kim; Fengfeng Ke; Nuodi Zhang; Alex Barrett 001 (EDM, 2025)

Pattern analysis of ambitious science talk between preservice teachers and AI-powered student agents. - Alex Barrett 001; Fengfeng Ke; Nuodi Zhang; Chih-Pu Dai; Saptarshi Bhowmik; Xin Yuan 001 (LAK, 2025)

Implementation fidelity of an evidence-centered maker education intervention in a virtual world for neurodiverse adolescents. - Alex Barrett 001; Fengfeng Ke; Nuodi Zhang; Zlatko Sokolikj (Comput. Educ. X Real., 2025)

Applications of Machine Learning for at-Risk Student Prediction in Online Education: A 10-Year Systematic Review of Literature. - Hui Shi; Nuodi Zhang; Secil Caskurlu; Hunhui Na (J. Comput. Assist. Learn., 2025)

Seeking to support preservice teachers' responsive teaching: Leveraging artificial intelligence-supported virtual simulation. - Nuodi Zhang; Fengfeng Ke; Chih-Pu Dai; Sherry A. Southerland; Xin Yuan 001 (Br. J. Educ. Technol., 2025)