Xiaoming Zhai

According to our database, Xiaoming Zhai authored at least 97 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

A systematic review of intelligent and robot tutoring systems: evolution, pedagogical design, and AI-driven classification.

Ehsan Latif, Vincent Liu, Xiaoming Zhai

Smart Learn. Environ., December, 2026

Learnable Assessment Skills for LLM-based Automated Scoring: Rubric Construction via Iterative Optimization.

Yun Wang, Xin Xia, Xuansheng Wu, Xiaoming Zhai, Ninghao Liu

CoRR, May, 2026

Generative AI as a Design Variable: An Evidence-Centered Framework for Principled Governance in STEM Assessment.

Yizhu Gao, Zhongzhou Chen, Min Li, Xiaoming Zhai

CoRR, May, 2026

Palette: A Modular, Controllable, and Efficient Framework for On-demand Authorized Safety Alignment Relaxation in LLMs.

Qitao Tan, Xiaoying Song, Arman Akbari, Arash Akbari, Yanzhi Wang, Xiaoming Zhai, Lingzi Hong, Zhen Xiang, Jin Lu, Geng Yuan

CoRR, May, 2026

Simulating Validity: Modal Decoupling in MLLM Generated Feedback on Science Drawings.

Arne Bewersdorff, Nejla Yuruk, Xiaoming Zhai

CoRR, April, 2026

ArguAgent: AI-Supported Real-Time Grouping for Productive Argumentation in STEM Classrooms.

Jennifer Kleiman, Yizhu Gao, Xin Xia, Zhaoji Wang, Zipei Zhu, Jongchan Park, Xiaoming Zhai

CoRR, April, 2026

A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation.

Ying Zhang, Ningxi Cheng, Yizhu Gao, Hongmei Li, Lehong Shi, Nicholas Young, Geng Yuan, Xiaoming Zhai

CoRR, April, 2026

Generative AI User Experience: Developing Human-AI Epistemic Partnership.

Xiaoming Zhai

CoRR, March, 2026

Science Literacy: Generative AI as Enabler of Coherence in the Teaching, Learning, and Assessment of Scientific Knowledge and Reasoning.

Xiaoming Zhai, James W. Pellegrino, Matias Rojas, Jongchan Park, Matthew Nyaaba, Clayton Cohn, Gautam Biswas

CoRR, March, 2026

Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion Models.

Ci Zhang, Zhaojun Ding, Chence Yang, Jun Liu, Xiaoming Zhai, Shaoyi Huang, Beiwen Li, Xiaolong Ma, Jin Lu, Geng Yuan

CoRR, March, 2026

Using Learning Progressions to Guide AI Feedback for Science Learning.

Xin Xia, Nejla Yuruk, Yun Wang, Xiaoming Zhai

CoRR, March, 2026

BRIDGE the Gap: Mitigating Bias Amplification in Automated Scoring of English Language Learners via Inter-group Data Augmentation.

Yun Wang, Xuansheng Wu, Jingyuan Huang, Lei Liu, Xiaoming Zhai, Ninghao Liu

CoRR, February, 2026

Charting the Future of AI-supported Science Education: A Human-Centered Vision.

Xiaoming Zhai, Kent J. Crippen

CoRR, February, 2026

Transforming Science Learning Materials in the Era of Artificial Intelligence.

Xiaoming Zhai, Kent J. Crippen

CoRR, February, 2026

The Landscape of AI in Science Education: What is Changing and How to Respond.

Xiaoming Zhai, Kent J. Crippen

CoRR, February, 2026

Developing a Multi-Agent System to Generate Next Generation Science Assessments with Evidence-Centered Design.

Yaxuan Yang, Jongchan Park, Yifan Zhou, Xiaoming Zhai

CoRR, February, 2026

Human-AI Collaborative Inductive Thematic Analysis: AI Guided Analysis and Human Interpretive Authority.

Matthew Nyaaba, Min SungEun, Mary Abiswin Apam, Kwame Owoahene Acheampong, Emmanuel Dwamena, Xiaoming Zhai

CoRR, January, 2026

Q-realign: Piggybacking Realignment on Quantization for Safe and Efficient LLM Deployment.

Qitao Tan, Xiaoying Song, Ningxi Cheng, Ninghao Liu, Xiaoming Zhai, Lingzi Hong, Yanzhi Wang, Zhen Xiang, Geng Yuan

CoRR, January, 2026

Knowledge distillation and dataset distillation of large language models: emerging trends, challenges, and future directions.

Luyang Fang, Xiaowei Yu, Jiazhang Cai, Yongkai Chen, Shushan Wu, Zhengliang Liu, Zhenyuan Yang, Haoran Lu, Xilin Gong, Yufang Liu, Terry Ma, Wei Ruan, Ali Abbasi, Jing Zhang, Tao Wang, Ehsan Latif, Wei Liu, Wei Zhang, Soheil Kolouri, Xiaoming Zhai, Dajiang Zhu, Wenxuan Zhong, Tianming Liu, Ping Ma

Artif. Intell. Rev., January, 2026

Rethinking the Potential of Layer Freezing for DNN Training Efficiency.

Chence Yang, Ningxi Cheng, Ci Zhang, Lei Lu, Qitao Tan, Sheng Li, Ao Li, Xulong Tang, Shaoyi Huang, Jinzhen Wang, Guoming Li, Jundong Li, Xiaoming Zhai, Jin Lu, Jinhui Wang, Geng Yuan

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition.

Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts.

Luyang Fang, Tao Wang, Ping Ma, Xiaoming Zhai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Human Experts' Evaluation of Generative AI for Contextualizing STEAM Education in the Global South.

Matthew Nyaaba, Macharious Nabang, Patrick Kyeremeh, Ibrahim Nantomah, Collins Owusu-Fordjour, Martin Ako, Bismark Nyaaba Akanzire, Kassim Korah Nantomah, Cecilia Issaka, Xiaoming Zhai

CoRR, November, 2025

Build AI Assistants using Large Language Models and Agents to Enhance the Engineering Education of Biomechanics.

Hanzhi Yan, Qin Lu, Xianqiao Wang, Xiaoming Zhai, Tianming Liu, He Li

CoRR, November, 2025

Report on the Scoping Workshop on AI in Science Education Research 2025.

Marcus Kubsch, Marit Kastaun, Peter Wulff, Nicole Graulich, Moriah Ariely, Alexander Bergmann-Gering, Sebastian Gombert, Bor Gregorcic, Hendrik Härtig, Benedikt Heuckmann, Andrea Horbach, Christina Krist, Gerd Kortemeyer, Ben Münch, Samuel Pazicni, Joshua M. Rosenberg, Sascha Schanze, Gena Sbeglia, Vidar Skogvoll, Christophe Speroni, Christoph Thyssen, Lars-Jochen Thoms, Brandon J. Yik, Xiaoming Zhai

CoRR, November, 2025

Generative Large Language Models for Knowledge Representation: A Systematic Review of Concept Map Generation.

Xiaoming Zhai

CoRR, September, 2025

End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost.

Qitao Tan, Xiaoying Song, Jin Lu, Guoming Li, Jun Liu, Lingzi Hong, Caiwen Ding, Jundong Li, Xiaoming Zhai, Shaoyi Huang, Wei Niu, Geng Yuan

CoRR, September, 2025

Rethinking the Potential of Layer Freezing for Efficient DNN Training.

Chence Yang, Ci Zhang, Le Lu, Qitao Tan, Sheng Li, Ao Li, Xulong Tang, Shaoyi Huang, Jinzhen Wang, Guoming Li, Jundong Li, Xiaoming Zhai, Jin Lu, Geng Yuan

CoRR, August, 2025

Developing and validating an instrument for teachers' acceptance of artificial intelligence in education.

Shuchen Guo, Lehong Shi, Xiaoming Zhai

Educ. Inf. Technol., July, 2025

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge.

Yaxuan Yang, Shiyu Wang, Xiaoming Zhai

CoRR, May, 2025

Advancing Education through Tutoring Systems: A Systematic Literature Review.

Vincent Shung Liu, Ehsan Latif, Xiaoming Zhai

CoRR, March, 2025

Interpreting and Steering LLMs with Mutual Information-based Explanations on Sparse Autoencoders.

Xuansheng Wu, Jiayi Yuan, Wenlin Yao, Xiaoming Zhai, Ninghao Liu

CoRR, February, 2025

Self-Regularization with Latent Space Explanations for Controllable LLM-based Classification.

Xuansheng Wu, Wenhao Yu, Xiaoming Zhai, Ninghao Liu

CoRR, February, 2025

Fine-tuning ChatGPT for Automatic Scoring of Written Scientific Explanations in Chinese.

Jie Yang, Ehsan Latif, Yuze He, Xiaoming Zhai

CoRR, January, 2025

Human-Centered Design for AI-based Automatically Generated Assessment Reports: A Systematic Review.

Ehsan Latif, Ying Chen, Xiaoming Zhai, Yue Yin

CoRR, January, 2025

Multimodality of AI for Education: Toward Artificial General Intelligence.

Gyeong-Geon Lee, Lehong Shi, Ehsan Latif, Yizhu Gao, Arne Bewersdorff, Matthew Nyaaba, Shuchen Guo, Zhengliang Liu, Gengchen Mai, Tianming Liu, Xiaoming Zhai

IEEE Trans. Learn. Technol., 2025

Developing a theory-grounded AI tool for the generation of culturally responsive lesson plans.

Matthew Nyaaba, Xiaoming Zhai

Comput. Educ. Artif. Intell., 2025

How AI literacy correlates with affective, behavioral, cognitive and contextual variables: A systematic review.

Arne Bewersdorff, Claudia Nerdel, Xiaoming Zhai

Comput. Educ. Artif. Intell., 2025

SketchMind: A Multi-Agent Cognitive Framework for Assessing Student-Drawn Scientific Sketches.

Ehsan Latif, Zirak Khan, Xiaoming Zhai

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Self-Regularization with Sparse Autoencoders for Controllable LLM-based Classification.

Xuansheng Wu, Wenhao Yu, Xiaoming Zhai, Ninghao Liu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Exploring Communication Strategies for Collaborative LLM Agents in Mathematical Problem-Solving.

Liang Zhang, Xiaoming Zhai, Jionghao Lin, Jennifer Kleiman, Diego Zapata-Rivera, Carol Forsyth, Yang Jiang, Xiangen Hu, Arthur C. Graesser

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

Privacy-Preserved Automated Scoring Using Federated Learning for Educational Research.

Ehsan Latif, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

Workshop on Epistemics and Decision-Making in AI-Supported Education.

Ehsan Latif, Ninghao Liu, Gautam Biswas, Yue Yin, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

Artificial Intelligence Bias on English Language Learners in Automatic Scoring.

Shuchen Guo, Yun Wang, Jichao Yu, Xuansheng Wu, Bilgehan Ayik, Field M. Watts, Ehsan Latif, Ninghao Liu, Lei Liu, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

Efficient Multi-task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment.

Luyang Fang, Ehsan Latif, Haoran Lu, Yifan Zhou, Ping Ma, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

Understanding University Students' Use of Generative AI: The Roles of Demographics and Personality Traits.

Newnew Deng, Edward Jiusi Liu, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024

From Campus to Market: The Algorithmic Influence on Academic Capitalism.

Chan Aristella Lu, Xiaoming Zhai

IEEE Technol. Soc. Mag., December, 2024

Examining the Effect of Assessment Construct Characteristics on Machine Learning Scoring of Scientific Argumentation.

Kevin C. Haudek, Xiaoming Zhai

Int. J. Artif. Intell. Educ., December, 2024

Artificial intelligence in education research during 2013-2023: A review based on bibliometric analysis.

Shuchen Guo, Yuanyuan Zheng, Xiaoming Zhai

Educ. Inf. Technol., September, 2024

An In-Depth Review of ChatGPT's Pros and Cons for Learning and Teaching in Education.

Agariadne Dwinggo Samala, Xiaoming Zhai, Kumiko Aoki, Ljubisa Bojic, Simona Zikic

Int. J. Interact. Mob. Technol., January, 2024

Deep learning to predict respiratory lung-tissue displacement from multi-phase pulmonary computed tomography images.

Chengmin Zhou, Liyilei Su, Tiegong Wang, Jinxing Gao, Jing Li, Jun Liu, Zongzhou Ye, Xiaoming Zhai, Weiguo Xie, Chengwei Shao, Bingding Huang

Biomed. Signal Process. Control., January, 2024

Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning.

Gyeong-Geon Lee, Xiaoming Zhai

IEEE Trans. Learn. Technol., 2024

Efficient Multi-Task Inferencing with a Shared Backbone and Lightweight Task-Specific Adapters for Automatic Scoring.

Ehsan Latif, Xiaoming Zhai

CoRR, 2024

Can OpenAI o1 outperform humans in higher-order cognitive thinking?

Ehsan Latif, Yifan Zhou, Shuchen Guo, Lehong Shi, Yizhu Gao, Matthew Nyaaba, Arne Bewersdorff, Xiantong Yang, Xiaoming Zhai

CoRR, 2024

Foundation Models for Low-Resource Language Education (Vision Paper).

Zhaojun Ding, Zhengliang Liu, Hanqi Jiang, Yizhu Gao, Xiaoming Zhai, Tianming Liu, Ninghao Liu

CoRR, 2024

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios.

Shaochen Xu, Yifan Zhou, Zhengliang Liu, Zihao Wu, Tianyang Zhong, Huaqin Zhao, Yiwei Li, Hanqi Jiang, Yi Pan, Junhao Chen, Jin Lu, Wei Zhang, Tuo Zhang, Lu Zhang, Dajiang Zhu, Xiang Li, Wei Liu, Quanzheng Li, Andrea Sikora, Xiaoming Zhai, Zhen Xiang, Tianming Liu

CoRR, 2024

Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation.

Peng Shu, Junhao Chen, Zhengliang Liu, Hui Wang, Zihao Wu, Tianyang Zhong, Yiwei Li, Huaqin Zhao, Hanqi Jiang, Yi Pan, Yifan Zhou, Constance Owl, Xiaoming Zhai, Ninghao Liu, Claudio Saunt, Tianming Liu

CoRR, 2024

Using Generative AI and Multi-Agents to Provide Automatic Feedback.

Shuchen Guo, Ehsan Latif, Yifan Zhou, Xuan Huang, Xiaoming Zhai

CoRR, 2024

Large Language Models for Manufacturing.

Yiwei Li, Huaqin Zhao, Hanqi Jiang, Yi Pan, Zhengliang Liu, Zihao Wu, Peng Shu, Jie Tian, Tianze Yang, Shaochen Xu, Yanjun Lyu, Parker Blenk, Jacob Pence, Jason Rupram, Eliza Banu, Ninghao Liu, Linbing Wang, Wen-Zhan Song, Xiaoming Zhai, Kenan Song, Dajiang Zhu, Beiwen Li, Xianqiao Wang, Tianming Liu

CoRR, 2024

A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education.

Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nayaaba, Gyeong-Geon Lee, Liang Zhang, Arne Bewersdorff, Luyang Fang, Xiantong Yang, Huaqin Zhao, Hanqi Jiang, Haoran Lu, Jiaxi Li, Jichao Yu, Weihang You, Zhengliang Liu, Vincent Shung Liu, Hui Wang, Zihao Wu, Jin Lu, Fei Dou, Ping Ma, Ninghao Liu, Tianming Liu, Xiaoming Zhai

CoRR, 2024

Transforming Teachers' Roles and Agencies in the Era of Generative AI: Perceptions, Acceptance, Knowledge, and Practices.

Xiaoming Zhai

CoRR, 2024

Evaluation of OpenAI o1: Opportunities and Challenges of AGI.

Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, Junhao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei Zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu

CoRR, 2024

Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring.

Xuansheng Wu, Padmaja Pravin Saraf, Gyeong-Geon Lee, Ehsan Latif, Ninghao Liu, Xiaoming Zhai

CoRR, 2024

Generative AI as a Learning Buddy and Teaching Assistant: Pre-service Teachers' Uses and Attitudes.

Matthew Nyaaba, Lehong Shi, Macharious Nabang, Xiaoming Zhai, Patrick Kyeremeh, Samuel Arthur Ayoberd, Bismark Nyaaba Akanzire

CoRR, 2024

Validating an Instrument for Teachers' Acceptance of Artificial Intelligence in Education.

Shuchen Guo, Lehong Shi, Xiaoming Zhai

CoRR, 2024

Realizing Visual Question Answering for Education: GPT-4V as a Multimodal AI.

Gyeong-Geon Lee, Xiaoming Zhai

CoRR, 2024

AI and Machine Learning for Next Generation Science Assessments.

Xiaoming Zhai

CoRR, 2024

Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.

Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu

CoRR, 2024

G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German.

Ehsan Latif, Gyeong-Geon Lee, Knut Neumann, Tamara Kastorff, Xiaoming Zhai

CoRR, 2024

Can generative AI and ChatGPT outperform humans on cognitive-demanding problem-solving tasks in science?

Xiaoming Zhai, Matthew Nyaaba, Wenchao Ma

CoRR, 2024

Gemini Pro Defeated by GPT-4V: Evidence from Education.

Gyeong-Geon Lee, Ehsan Latif, Lehong Shi, Xiaoming Zhai

CoRR, 2024

Collaborative Learning with Artificial Intelligence Speakers (CLAIS): Pre-Service Elementary Science Teachers' Responses to the Prototype.

Gyeong-Geon Lee, Seonyeong Mun, Myeong-Kyeong Shin, Xiaoming Zhai

CoRR, 2024

Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education.

Arne Bewersdorff, Christian Hartmann, Marie Hornberger, Kathrin Seßler, Maria Bannert, Enkelejda Kasneci, Gjergji Kasneci, Xiaoming Zhai, Claudia Nerdel

CoRR, 2024

Applying large language models and chain-of-thought for automatic scoring.

Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu, Ninghao Liu, Xiaoming Zhai

Comput. Educ. Artif. Intell., 2024

Fine-tuning ChatGPT for automatic scoring.

Ehsan Latif, Xiaoming Zhai

Comput. Educ. Artif. Intell., 2024

PhysicsAssistant: An LLM-Powered Interactive Learning Robot for Physics Lab Investigations.

Ehsan Latif, Ramviyas Parasuraman, Xiaoming Zhai

Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments.

Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023

ChatGPT for Next Generation Science Learning.

Xiaoming Zhai

XRDS, 2023

Knowledge Distillation of LLM for Education.

Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai

CoRR, 2023

AI Gender Bias, Disparities, and Fairness: Does Training Data Matter?

Ehsan Latif, Xiaoming Zhai, Lei Liu

CoRR, 2023

Multimodality of AI for Education: Towards Artificial General Intelligence.

Gyeong-Geon Lee, Lehong Shi, Ehsan Latif, Yizhu Gao, Arne Bewersdorff, Matthew Nyaaba, Shuchen Guo, Zihao Wu, Zhengliang Liu, Hui Wang, Gengchen Mai, Tiaming Liu, Xiaoming Zhai

CoRR, 2023

Automatic Scoring of Students' Science Writing Using Hybrid Neural Network.

Ehsan Latif, Xiaoming Zhai

CoRR, 2023

NERIF: GPT-4V for Automatic Scoring of Drawn Models.

Gyeong-Geon Lee, Xiaoming Zhai

CoRR, 2023

Using GPT-4 to Augment Unbalanced Data for Automatic Scoring.

Luyang Fang, Gyeong-Geon Lee, Xiaoming Zhai

CoRR, 2023

Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning.

Chen Cao, Zijian Ding, Gyeong-Geon Lee, Jiajun Jiao, Jionghao Lin, Xiaoming Zhai

CoRR, 2023

Artificial General Intelligence (AGI) for Education.

Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, Xiaoming Zhai

CoRR, 2023

Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-shot Prompt Learning for Automatic Scoring in Science Education.

Xuansheng Wu, Xinyu He, Tianming Li, Ninghao Liu, Xiaoming Zhai

CoRR, 2023

Myths, mis- and preconceptions of artificial intelligence: A review of the literature.

Arne Bewersdorff, Xiaoming Zhai, Jessica Roberts, Claudia Nerdel

Comput. Educ. Artif. Intell., 2023

Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education.

Xuansheng Wu, Xinyu He, Tianming Liu, Ninghao Liu, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Context Matters: A Strategy to Pre-train Language Model for Science Education.

Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, Xiaoming Zhai

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Diagnostics of Coherent Eddy Transport in the South China Sea Based on Satellite Observations.

Tongya Liu, Yinghui He, Xiaoming Zhai, Xiaohui Liu

Remote. Sens., 2022

Pseudo AI Bias.

Xiaoming Zhai, Joseph Krajcik

CoRR, 2022

Examining adults' web navigation patterns in multi-layered hypertext environments.

Yizhu Gao, Ying Cui, Okan Bulut, Xiaoming Zhai, Fu Chen

Comput. Hum. Behav., 2022

2020

Assessing computational thinking: A systematic review of empirical studies.

Xiaodan Tang, Yue Yin, Qiao Lin, Roxana Hadad, Xiaoming Zhai

Comput. Educ., 2020

Assessing learning in technology-rich maker activities: A systematic review of empirical research.

Qiao Lin, Yue Yin, Xiaodan Tang, Roxana Hadad, Xiaoming Zhai

Comput. Educ., 2020

2019

Understanding the relationship between levels of mobile technology use in high school physics classrooms and the learning outcome.

Xiaoming Zhai, Meilan Zhang, Min Li, Xuejie Zhang

Br. J. Educ. Technol., 2019

2018

One-to-one mobile technology in high school physics classrooms: Understanding its use and outcome.

Xiaoming Zhai, Meilan Zhang, Min Li

Br. J. Educ. Technol., 2018