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Author

Lehong Shi

Observed name: Shi, Lehong
Observed institution: University of Georgia
ORCID: 0000-0002-6742-0902
Observed ORCID: 0000-0002-6742-0902
OpenAlex ID: A5080132011
Applying machine learning in science assessment: a systematic review
2020 · Xiaoming Zhai, Yue Yin, et al. · Studies in Science Education · 257
Enhancing teacher AI literacy and integration through different types of cases in teacher professional development
2024 · Ai-Chu Elisha Ding, Lehong Shi, et al. · Computers and Education Open · 224
From substitution to redefinition: A framework of machine learning‐based science assessment
2020 · Xiaoming Zhai, Kevin C. Haudek, et al. · Journal of Research in Science Teaching · 131
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A Meta-Analysis of Machine Learning-Based Science Assessments: Factors Impacting Machine-Human Score Agreements
2020 · Xiaoming Zhai, Lehong Shi, et al. · Journal of Science Education and Technology · 82
Multimodality of AI for Education: Toward Artificial General Intelligence
2025 · Gyeonggeon Lee, Lehong Shi, et al. · IEEE Transactions on Learning Technologies · 55
Understanding How the Perceived Usefulness of Mobile Technology Impacts Physics Learning Achievement: a Pedagogical Perspective
2020 · Xiaoming Zhai, Lehong Shi · Journal of Science Education and Technology · 50
Assessing teachers’ generative artificial intelligence competencies: instrument development and validation
2025 · Lehong Shi · Education and Information Technologies · 40
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Investigating Teachers’ Use of an AI-Enabled System and Their Perceptions of AI Integration in Science Classrooms: A Case Study
2024 · Lehong Shi, Ai-Chu (Elisha) Ding, et al. · Education Sciences · 40
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Developing and validating an instrument for teachers’ acceptance of artificial intelligence in education
2025 · Shuchen Guo, Lehong Shi, et al. · Education and Information Technologies · 35
Multimodality of AI for Education: Towards Artificial General Intelligence
2023 · Lee, Gyeong-Geon, Shi, Lehong, et al. · arXiv (Cornell University) · 26
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Global Perspectives on AI Competence Development: Analyzing National AI Strategies in Education and Workforce Policies
2025 · Lehong Shi · Human Resource Development Review · 23
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Moderator effects of mobile users' pedagogical role on science learning: A meta‐analysis
2022 · Lehong Shi, Theodore J. Kopcha · British Journal of Educational Technology · 17
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A Systematic Review on Artificial Intelligence in Supporting Teaching Practice
2024 · Lehong Shi, Ikseon Choi · 14
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Generative AI as a Learning Buddy and Teaching Assistant: Pre-service Teachers' Uses and Attitudes
2024 · Nyaaba, Matthew, Shi, Lehong, et al. · arXiv (Cornell University) · 14
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Validating an Instrument for Teachers' Acceptance of Artificial Intelligence in Education
2024 · Guo, Shuchen, Shi, Lehong, et al. · arXiv (Cornell University) · 5
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Comparative evaluation of OpenAI O1 and human performance in higher order cognition
2025 · Ehsan Latif, Yifan Zhou, et al. · Scientific Reports · 4
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Transforming science teacher education in the era of generative artificial intelligence: global perspectives
2026 · Gyeonggeon Lee, Ehsan Latif, et al. · International Journal of Science Education · 3
Can OpenAI o1 outperform humans in higher-order cognitive thinking?
2024 · Latif, Ehsan, Zhou, Yifan, et al. · arXiv (Cornell University) · 3
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Can Children Aged 3–5 Years Learn to Code: Teacher Perceptions of Student Practices, Concepts, and Perspectives
2025 · Lehong Shi, Roger Hill · Journal of Technology Education · 1
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Applying Rasch Measurement to Validate the Colorado Learning Attitudes About Science Survey
2022 · Lehong Shi · 1
Investigating the impact of learning modes and instructional sequences of VR-integrated station activities on science learning from the multimodal perspective
2026 · Ai-Chu Elisha Ding, Lehong Shi, et al. · Education and Information Technologies
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A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation
2026 · Ying Zhang, Ningxi Cheng, et al. · Lecture notes in computer science
A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation
2026 · Zhang, Ying, Cheng, Ningxi, et al. · arXiv (Cornell University)
A Framework for Human-AI Q-Matrix Refinement: A NeuralCDM Evaluation
2026 · Zhang, Ying, Cheng, Ningxi, et al. · arXiv (Cornell University)
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Sentiment Analysis for STEM Learning
2026 · Lehong Shi, Shuchen Guo · Springer eBooks
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Works count: 40
Citation count: 1,047
H-index: 14
I10-index: 15
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