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2020 – today
- 2024
[j14]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)- [j13]Ehsan Latif, Xiaoming Zhai:
Fine-tuning ChatGPT for automatic scoring. Comput. Educ. Artif. Intell. 6: 100210 (2024) - [j12]Gyeong-Geon Lee, Ehsan Latif, Xuansheng Wu, Ninghao Liu, Xiaoming Zhai:
Applying large language models and chain-of-thought for automatic scoring. Comput. Educ. Artif. Intell. 6: 100213 (2024) - [j11]Shuchen Guo, Yuanyuan Zheng, Xiaoming Zhai:
Artificial intelligence in education research during 2013-2023: A review based on bibliometric analysis. Educ. Inf. Technol. 29(13): 16387-16409 (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) - [c3]Ehsan Latif, Luyang Fang, Ping Ma, Xiaoming Zhai:
Knowledge Distillation of LLMs for Automatic Scoring of Science Assessments. AIED Companion (2) 2024: 166-174 - [i27]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) - [i26]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) - [i25]Gyeong-Geon Lee, Ehsan Latif, Lehong Shi, Xiaoming Zhai:
Gemini Pro Defeated by GPT-4V: Evidence from Education. CoRR abs/2401.08660 (2024) - [i24]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) - [i23]Gyeong-Geon Lee, Xiaoming Zhai:
Using ChatGPT for Science Learning: A Study on Pre-service Teachers' Lesson Planning. CoRR abs/2402.01674 (2024) - [i22]Ehsan Latif, Gyeong-Geon Lee, Knut Neumann, Tamara Kastorff, Xiaoming Zhai:
G-SciEdBERT: A Contextualized LLM for Science Assessment Tasks in German. CoRR abs/2402.06584 (2024) - [i21]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) - [i20]Ehsan Latif, Ramviyas Parasuraman, Xiaoming Zhai:
PhysicsAssistant: An LLM-Powered Interactive Learning Robot for Physics Lab Investigations. CoRR abs/2403.18721 (2024) - [i19]Xiaoming Zhai:
AI and Machine Learning for Next Generation Science Assessments. CoRR abs/2405.06660 (2024) - [i18]Gyeong-Geon Lee, Xiaoming Zhai:
Realizing Visual Question Answering for Education: GPT-4V as a Multimodal AI. CoRR abs/2405.07163 (2024) - [i17]Shuchen Guo, Lehong Shi, Xiaoming Zhai:
Validating an Instrument for Teachers' Acceptance of Artificial Intelligence in Education. CoRR abs/2406.10506 (2024) - [i16]Matthew Nyaaba, Lehong Shi, Macharious Nabang, Xiaoming Zhai, Patrick Kyeremeh, Samuel Arthur Ayoberd, Bismark Nyaaba Akanzire:
Generative AI as a Learning Buddy and Teaching Assistant: Pre-service Teachers' Uses and Attitudes. CoRR abs/2407.11983 (2024) - [i15]Xuansheng Wu, Padmaja Pravin Saraf, Gyeong-Geon Lee, Ehsan Latif, Ninghao Liu, Xiaoming Zhai:
Unveiling Scoring Processes: Dissecting the Differences between LLMs and Human Graders in Automatic Scoring. CoRR abs/2407.18328 (2024) - [i14]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:
Evaluation of OpenAI o1: Opportunities and Challenges of AGI. CoRR abs/2409.18486 (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) - [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 - [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
- [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) - [i1]Xiaoming Zhai, Joseph Krajcik:
Pseudo AI Bias. CoRR abs/2210.08141 (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)
2010 – 2019
- 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)
Coauthor Index
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last updated on 2024-10-31 20:10 CET by the dblp team
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