Ying Fang

Associate member

Ying Fang is an Associate Professor in the Faculty of Artificial Intelligence in Education at Central China Normal University. Her work lies at the intersection of artificial intelligence in education, learning analytics, intelligent tutoring systems, and educational assessment. She holds a PhD in Experimental Psychology from the University of Memphis and has held research and industry positions at Arizona State University, Soomo Learning, and the Institute for Intelligent Systems. Her research focuses on designing and evaluating AI-supported learning environments, including intelligent tutoring systems, stealth assessment, literacy support, and data-driven approaches to understanding learning. She has published in leading venues in AIED and educational technology and has contributed to interdisciplinary research bridging education, psychology, and data science.

Interests: Artificial Intelligence in Education Learning Analytics Intelligent Tutoring Systems Educational Assessment Educational Data Mining

ORCID

Publications

Automated Generation of Challenge Questions for Student Code Evaluation Using Abstract Syntax Tree Embeddings and RAG: An Exploratory Study

2024 · Proceedings of the 2024 7th International Conference on Educational Technology Management · conference-paper

Authors: Anis Boubaker, Ying Fang

DOI: 10.1145/3711403.3711450

Evaluating the Design Features of an Intelligent Tutoring System for Advanced Mathematics Learning

2024 · Lecture Notes in Computer Science · book-chapter

Authors: Ying Fang, Bo He, Zhi Liu, Sannyuya Liu, Zhonghua Yan, Jianwen Sun

DOI: 10.1007/978-3-031-64302-6_24

iSTART: Adaptive Comprehension Strategy Training and Stealth Literacy Assessment

2023 · International Journal of Human–Computer Interaction · journal-article

Authors: Danielle S. McNamara, Tracy Arner, Reese Butterfuss, Ying Fang, Micah Watanabe, Natalie Newton, Kathryn S. McCarthy, Laura K. Allen, Rod D. Roscoe

DOI: 10.1080/10447318.2022.2114143

Stealth Literacy Assessments via Educational Games

2023 · Computers · journal-article

Authors: Ying Fang, Tong Li, Linh Huynh, Katerina Christhilf, Rod D. Roscoe, Danielle S. McNamara

DOI: 10.3390/computers12070130

Stealth literacy assessment: Leveraging games and NLP in iSTART

2023 · Advancing natural language processing in educational assessment · book-chapter

Authors: Ying Fang, Laura K. Allen, Rod D. Roscoe, Danielle S. McNamara

Artificial intelligence-based assessment in education

2023 · Handbook of Artificial Intelligence in Education · book-chapter

Authors: Ying Fang, Rod D. Roscoe, Danielle S. McNamara

DOI: 10.4337/9781800375413.00033

Patterns of Adults with Low Literacy Skills Interacting with an Intelligent Tutoring System

2022 · International Journal of Artificial Intelligence in Education · journal-article

Authors: Ying Fang, Anne Lippert, Zhiqiang Cai, Su Chen, Jan C. Frijters, Daphne Greenberg, Arthur C. Graesser

DOI: 10.1007/s40593-021-00266-y

Automated Disengagement Tracking Within an Intelligent Tutoring System

2021 · Frontiers in Artificial Intelligence · journal-article

Authors: Su Chen, Ying Fang, Genghu Shi, John Sabatini, Daphne Greenberg, Jan Frijters, Arthur C. Graesser

DOI: 10.3389/frai.2020.595627

Predicting Literacy Skills via Stealth Assessment in a Simple Vocabulary Game

2021 · Lecture Notes in Computer Science · book-chapter

Authors: Ying Fang, Tong Li, Rod D. Roscoe, Danielle S. McNamara

DOI: 10.1007/978-3-030-77873-6_3

A meta-analysis of the effectiveness of ALEKS on learning

2019 · Educational Psychology · journal-article

Authors: Ying Fang, Zhihong Ren, Xiangen Hu, Arthur C. Graesser

DOI: 10.1080/01443410.2018.1495829

A Conversation-Based Intelligent Tutoring System Benefits Adult Readers with Low Literacy Skills

2019 · Lecture Notes in Computer Science · book-chapter

Authors: Ying Fang, Anne Lippert, Zhiqiang Cai, Xiangen Hu, Arthur C. Graesser

DOI: 10.1007/978-3-030-22341-0_47

Exploring an intelligent tutoring system as a conversation-based assessment tool for reading comprehension

2018 · Behaviormetrika · journal-article

Authors: Genghu Shi, Anne M. Lippert, Keith Shubeck, Ying Fang, Su Chen, Philip Pavlik, Daphne Greenberg, Arthur C. Graesser

DOI: 10.1007/s41237-018-0065-9

Clustering the Learning Patterns of Adults with Low Literacy Skills Interacting with an Intelligent Tutoring System

2018 · International Conference on Educational Data Mining (EDM) · conference-paper

Authors: Ying Fang

Online Learning Persistence and Academic Achievement

2017 · International Conference on Educational Data Mining (EDM) · conference-paper

Authors: Ying Fang, Benjamin D. Nye, Philip Pavlik, Yonghong Jade Xu, Arthur C. Graesser, Xiangen Hu