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Xiaoming Zhai
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Journal Articles
- 2024
- [j11]Chengmin Zhou, Liyilei Su, Tiegong Wang, Jinxing Gao, Jing Li, Jun Liu, Zongzhou Ye, Xiaoming Zhai, Weiguo Xie, Chengwei Shao, Bingding Huang:
Deep learning to predict respiratory lung-tissue displacement from multi-phase pulmonary computed tomography images. Biomed. Signal Process. Control. 87(Part B): 105505 (2024) - [j10]Agariadne Dwinggo Samala, Xiaoming Zhai, Kumiko Aoki, Ljubisa Bojic, Simona Zikic:
An In-Depth Review of ChatGPT's Pros and Cons for Learning and Teaching in Education. Int. J. Interact. Mob. Technol. 18(2): 96-117 (2024) - [j9]Gyeong-Geon Lee, Xiaoming Zhai:
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning. IEEE Trans. Learn. Technol. 17: 1683-1700 (2024) - 2023
- [j8]Arne Bewersdorff, Xiaoming Zhai, Jessica Roberts, Claudia Nerdel:
Myths, mis- and preconceptions of artificial intelligence: A review of the literature. Comput. Educ. Artif. Intell. 4: 100143 (2023) - [j7]Xiaoming Zhai:
ChatGPT for Next Generation Science Learning. XRDS 29(3): 42-46 (2023) - 2022
- [j6]Yizhu Gao, Ying Cui, Okan Bulut, Xiaoming Zhai, Fu Chen:
Examining adults' web navigation patterns in multi-layered hypertext environments. Comput. Hum. Behav. 129: 107142 (2022) - [j5]Tongya Liu, Yinghui He, Xiaoming Zhai, Xiaohui Liu:
Diagnostics of Coherent Eddy Transport in the South China Sea Based on Satellite Observations. Remote. Sens. 14(7): 1690 (2022) - 2020
- [j4]Xiaodan Tang, Yue Yin, Qiao Lin, Roxana Hadad, Xiaoming Zhai:
Assessing computational thinking: A systematic review of empirical studies. Comput. Educ. 148: 103798 (2020) - [j3]Qiao Lin, Yue Yin, Xiaodan Tang, Roxana Hadad, Xiaoming Zhai:
Assessing learning in technology-rich maker activities: A systematic review of empirical research. Comput. Educ. 157: 103944 (2020) - 2019
- [j2]Xiaoming Zhai, Meilan Zhang, Min Li, Xuejie Zhang:
Understanding the relationship between levels of mobile technology use in high school physics classrooms and the learning outcome. Br. J. Educ. Technol. 50(2): 750-766 (2019) - 2018
- [j1]Xiaoming Zhai, Meilan Zhang, Min Li:
One-to-one mobile technology in high school physics classrooms: Understanding its use and outcome. Br. J. Educ. Technol. 49(3): 516-532 (2018)
Conference and Workshop Papers
- 2023
- [c2]Xuansheng Wu, Xinyu He, Tianming Liu, Ninghao Liu, Xiaoming Zhai:
Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-Shot Prompt Learning for Automatic Scoring in Science Education. AIED 2023: 401-413 - [c1]Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, Xiaoming Zhai:
Context Matters: A Strategy to Pre-train Language Model for Science Education. AIED (Posters/Late Breaking Results/...) 2023: 666-674
Informal and Other Publications
- 2024
- [i23]Arne Bewersdorff, Christian Hartmann, Marie Hornberger, Kathrin Seßler, Maria Bannert, Enkelejda Kasneci, Gjergji Kasneci, Xiaoming Zhai, Claudia Nerdel:
Taking the Next Step with Generative Artificial Intelligence: The Transformative Role of Multimodal Large Language Models in Science Education. CoRR abs/2401.00832 (2024) - [i22]Gyeong-Geon Lee, Seonyeong Mun, Myeong-Kyeong Shin, Xiaoming Zhai:
Collaborative Learning with Artificial Intelligence Speakers (CLAIS): Pre-Service Elementary Science Teachers' Responses to the Prototype. CoRR abs/2401.05400 (2024) - [i21]Gyeong-Geon Lee, Ehsan Latif, Lehong Shi, Xiaoming Zhai:
Gemini Pro Defeated by GPT-4V: Evidence from Education. CoRR abs/2401.08660 (2024) - [i20]Xiaoming Zhai, Matthew Nyaaba, Wenchao Ma:
Can generative AI and ChatGPT outperform humans on cognitive-demanding problem-solving tasks in science? CoRR abs/2401.15081 (2024) - [i19]Gyeong-Geon Lee, Xiaoming Zhai:
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning. CoRR abs/2402.01674 (2024) - [i18]Ehsan Latif, Gyeong-Geon Lee, Knut Neuman, Tamara Kastorff, Xiaoming Zhai:
G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German. CoRR abs/2402.06584 (2024) - [i17]Xuansheng Wu, Haiyan Zhao, Yaochen Zhu, Yucheng Shi, Fan Yang, Tianming Liu, Xiaoming Zhai, Wenlin Yao, Jundong Li, Mengnan Du, Ninghao Liu:
Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era. CoRR abs/2403.08946 (2024) - [i16]Ehsan Latif, Ramviyas Parasuraman, Xiaoming Zhai:
PhysicsAssistant: An LLM-Powered Interactive Learning Robot for Physics Lab Investigations. CoRR abs/2403.18721 (2024) - [i15]Xiaoming Zhai:
AI and Machine Learning for Next Generation Science Assessments. CoRR abs/2405.06660 (2024) - [i14]Gyeong-Geon Lee, Xiaoming Zhai:
Realizing Visual Question Answering for Education: GPT-4V as a Multimodal AI. CoRR abs/2405.07163 (2024) - 2023
- [i13]Xuansheng Wu, Xinyu He, Tianming Li, Ninghao Liu, Xiaoming Zhai:
Matching Exemplar as Next Sentence Prediction (MeNSP): Zero-shot Prompt Learning for Automatic Scoring in Science Education. CoRR abs/2301.08771 (2023) - [i12]Zhengliang Liu, Xinyu He, Lei Liu, Tianming Liu, Xiaoming Zhai:
Context Matters: A Strategy to Pre-train Language Model for Science Education. CoRR abs/2301.12031 (2023) - [i11]Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, Xiaoming Zhai:
Artificial General Intelligence (AGI) for Education. CoRR abs/2304.12479 (2023) - [i10]Cassie Chen Cao, Zijian Ding, Gyeong-Geon Lee, Jiajun Jiao, Jionghao Lin, Xiaoming Zhai:
Elucidating STEM Concepts through Generative AI: A Multi-modal Exploration of Analogical Reasoning. CoRR abs/2308.10454 (2023) - [i9]Ehsan Latif, Xiaoming Zhai:
Fine-tuning ChatGPT for Automatic Scoring. CoRR abs/2310.10072 (2023) - [i8]Luyang Fang, Gyeong-Geon Lee, Xiaoming Zhai:
Using GPT-4 to Augment Unbalanced Data for Automatic Scoring. CoRR abs/2310.18365 (2023) - [i7]Gyeong-Geon Lee, Xiaoming Zhai:
NERIF: GPT-4V for Automatic Scoring of Drawn Models. CoRR abs/2311.12990 (2023) - [i6]Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu, Ninghao Liu, Xiaoming Zhai:
Applying Large Language Models and Chain-of-Thought for Automatic Scoring. CoRR abs/2312.03748 (2023) - [i5]Ehsan Latif, Xiaoming Zhai:
Automatic Scoring of Students' Science Writing Using Hybrid Neural Network. CoRR abs/2312.03752 (2023) - [i4]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:
Multimodality of AI for Education: Towards Artificial General Intelligence. CoRR abs/2312.06037 (2023) - [i3]Ehsan Latif, Xiaoming Zhai, Lei Liu:
AI Gender Bias, Disparities, and Fairness: Does Training Data Matter? CoRR abs/2312.10833 (2023) - [i2]Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai:
Knowledge Distillation of LLM for Education. CoRR abs/2312.15842 (2023) - 2022
- [i1]Xiaoming Zhai, Joseph Krajcik:
Pseudo AI Bias. CoRR abs/2210.08141 (2022)
Coauthor Index
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