Publications

Papers, datasets & preprints

Research in natural language processing, educational assessment, early literacy, and multimodal learning.

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Type

Year

2026journalPublished online

Parent’s AI Coach (PaiCoach): A Single-Case Experimental Study of an AI-Supported Parent Coaching System for Autistic Children

Yusuf Akemoğlu, Zhaohui Li, Qingxiao Zheng, Emily Brooke Roberts, Samar Pratap Singh, and Jinjun Xiong

Journal of Autism and Developmental Disorders

DOI PubMed

2026conference

Design and Feasibility of an LLM-Powered Humanoid Robot as a Reading Companion to Support Children’s AI Literacy

Feiwen Xiao, Zhaohui Li, Shiyan Jiang, and Jinjun Xiong

AIED 2026 · Companion proceedings, pp. 498–504

DOI

2026conference

SciEval: A Benchmark for Automatic Evaluation of K–12 Science Instructional Materials

Zhaohui Li, Peng He, Zhiyuan Chen, Honglu Liu, Zeyuan Wang, Tingting Li, and Jinjun Xiong

AIED 2026, pp. 539–554

DOI Preprint PDF

2026conference

LLM4Art: Using Large Language Models for Art Interpretation

Naiquan Li, Dancheng Liu, Yuting Hu, Chenhui Xu, Shenghao Chao, Zhaohui Li, and Jinjun Xiong

LAK 2026 Companion Proceedings, pp. 246–248

Proceedings PDF Conference

2026conference

Judging the Judges: Human Validation of Multi-LLM Evaluation for High-Quality K–12 Science Instructional Materials

Peng He, Zhaohui Li, Zeyuan Wang, Jinjun Xiong, and Tingting Li

Computing Conference 2026 · Intelligent Computing, pp. 481–496

DOI Preprint PDF

2025conference

StoryLab: Empowering Personalized Learning for Children Through Teacher-Guided Multimodal Story Generation

Zhaohui Li, Feiwen Xiao, Jiaju Lin, Xiaohan Zou, Qingxiao Zheng, and Jinjun Xiong

AIED 2025, pp. 285–292

DOI

2025conference

ASD-HI: A Parent-Child Interaction Dataset for Automated Assessment of Home Intervention

Zhaohui Li, Yusuf Akemoglu, Jincheng Lyu, Qingxiao Zheng, and Jinjun Xiong

AIED 2025, pp. 48–62

DOI

2025journal

Leveraging an LLM-enhanced bilingual conversational agent for EFL children’s dialogic reading: Insights from children, parents, and educators

Feiwen Xiao, Zhaohui Li, Jiaju Lin, Xiaohan Zou, Dandan Yang, Ellen Wenting Zou, and Jinjun Xiong

Computers and Education: Artificial Intelligence, article 100484

DOI

2025journal

Parent-led vs. AI-guided dialogic reading: Evidence from a randomized controlled trial in children’s e-book context

Feiwen Xiao, Ellen Wenting Zou, Jiaju Lin, Zhaohui Li, and Dandan Yang

British Journal of Educational Technology, 56(5), 1784–1813

DOI

2025workshopAccepted manuscript

Criteria for Demonstration Examples for LLM Assessment of Science Essays

Mahsa Sheikhi Karizaki, Zhaohui Li, and Rebecca J. Passonneau

Workshop on Epistemics and Decision-Making in AI-Supported Education · AIED 2025

Paper PDF

2024preprint

Joint Training for Selective Prediction

Zhaohui Li and Rebecca J. Passonneau

arXiv:2410.24029

arXiv PDF

2023conference

Answer-state Recurrent Relational Network (AsRRN) for Constructed Response Assessment and Feedback Grouping

Zhaohui Li, Susan Lloyd, Matthew Beckman, and Rebecca Passonneau

Findings of EMNLP 2023, pp. 3879–3891

Paper PDF DOI

2023conference

Learning When to Defer to Humans for Short Answer Grading

Zhaohui Li, Chengning Zhang, Yumi Jin, Xuesong Cang, Sadhana Puntambekar, and Rebecca J. Passonneau

AIED 2023, pp. 414–425

DOI

2023dataset

I-STUDIO: A reliable statistical automatic short answer assessment dataset

Zhaohui Li, Susan E. Lloyd, Matthew D. Beckman, and Rebecca J. Passonneau

Penn State Data Commons

Dataset

2023journal

The Ideal versus the Real Deal in Assessment of Physics Lab Report Writing

Rebecca J. Passonneau, Kathleen Koenig, Zhaohui Li, and Josephine Soddano

European Journal of Applied Sciences, 11(2), 626–644

DOI Paper

2022conference

Foundations for AI-Assisted Formative Assessment Feedback for Short-Answer Tasks in Large-Enrollment Classes

Susan E. Lloyd, Matthew D. Beckman, Dennis K. Pearl, Rebecca J. Passonneau, Zhaohui Li, and Zekun Wang

11th International Conference on Teaching Statistics (ICOTS 11)

DOI PDF

2022dataset

Reliable Rubric-Based Assessment of Physics Lab Reports: Data for Machine Learning

Rebecca J. Passonneau, Zhaohui Li, B. Atil, and Kathleen M. Koenig

Penn State Data Commons

Dataset

2021conference

A Semantic Feature-Wise Transformation Relation Network for Automatic Short Answer Grading

Zhaohui Li, Yajur Tomar, and Rebecca J. Passonneau

EMNLP 2021, pp. 6030–6040

Paper PDF DOI

2019conference

Teaching Machines to Extract Main Content for Machine Reading Comprehension

Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, and Xueqi Cheng

AAAI 2019, 33(1), 9973–9974

PDF

2018conference

Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension

Zhaohui Li, Jun Xu, Yanyan Lan, Jiafeng Guo, Yue Feng, and Xueqi Cheng

China Conference on Information Retrieval (CCIR), pp. 93–104

DOI

2016conference

Ease the Process of Machine Learning with Dataflow

Tianyou Guo, Jun Xu, Xiaohui Yan, Jianpeng Hou, Ping Li, Zhaohui Li, Jiafeng Guo, and Xueqi Cheng

CIKM 2016, pp. 2437–2440

DOI PDF Code

2014conference

Word Vector Modeling for Sentiment Analysis of Product Reviews

Yuan Wang, Zhaohui Li, Jie Liu, Zhicheng He, Yalou Huang, and Dong Li

NLPCC 2014, pp. 168–180

DOI

Publication list