Tracking Representational Flexibility Development through Speech Data Mining. - Fengfeng Ke; Jewoong Moon; Zlatko Sokolikj (FIE, 2020)

Automatic assessment of cognitive and emotional states in virtual reality-based flexibility training for four adolescents with autism. - Jewoong Moon; Fengfeng Ke; Zlatko Sokolikj (Br. J. Educ. Technol., 2020)

Using Eye Tracking for Research on Learning and Computational Thinking. - Fengfeng Ke; Ruohan Liu; Zlatko Sokolikj; Ibrahim Dahlstrom-Hakki; Maya Israel (HCI (29), 2021)

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)

Multimodal Data Fusion to Track Students' Distress during Educational Gameplay. - Jewoong Moon; Fengfeng Ke; Zlatko Sokolikj; Ibrahim Dahlstrom-Hakki (J. Learn. Anal., 2022)

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)

Applying multimodal data fusion to track autistic adolescents' representational flexibility development during virtual reality-based training. - Jewoong Moon; Fengfeng Ke; Zlatko Sokolikj; Shayok Chakraborty (Comput. Educ. X Real., 2024)

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)

Game-Based Performance Tasks for Assessing Representational Flexibility of Autistic Adolescents in a Virtual World. - Jewoong Moon; Fengfeng Ke; Zlatko Sokolikj (Technol. Knowl. Learn., 2025)