| Applying machine learning in science assessment: a systematic review X Zhai, Y Yin, JW Pellegrino, KC Haudek, L Shi Studies in Science Education 56 (1), 111-151, 2020 | 239 | 2020 |
| From substitution to redefinition: A framework of machine learning‐based science assessment X Zhai, K C Haudek, L Shi, R H Nehm, M Urban‐Lurain Journal of Research in Science Teaching 57 (9), 1430-1459, 2020 | 116 | 2020 |
| A meta-analysis of machine learning-based science assessments: Factors impacting machine-human score agreements X Zhai, L Shi, RH Nehm Journal of Science Education and Technology 30, 361-379, 2021 | 76 | 2021 |
| Understanding how the perceived usefulness of mobile technology impacts physics learning achievement: A pedagogical perspective X Zhai, L Shi Journal of Science Education and Technology 29 (6), 743-757, 2020 | 60 | 2020 |
| Multimodality of ai for education: Towards artificial general intelligence GG Lee, L Shi, E Latif, Y Gao, A Bewersdorff, M Nyaaba, S Guo, Z Wu, ... arXiv preprint arXiv:2312.06037, 2023 | 52 | 2023 |
| Enhancing teacher AI literacy and integration through different types of cases in teacher professional development ACE Ding, L Shi, H Yang, I Choi Computers and Education Open 6, 100178, 2024 | 33 | 2024 |
| Gemini pro defeated by gpt-4v: Evidence from education GG Lee, E Latif, L Shi, X Zhai arXiv preprint arXiv:2401.08660, 2023 | 33 | 2023 |
| Moderator effects of mobile users' pedagogical role on science learning: A meta‐analysis L Shi, TJ Kopcha British Journal of Educational Technology 53 (6), 1605-1625, 2022 | 15 | 2022 |
| A systematic assessment of openai o1-preview for higher order thinking in education E Latif, Y Zhou, S Guo, Y Gao, L Shi, M Nayaaba, G Lee, L Zhang, ... arXiv preprint arXiv:2410.21287, 2024 | 9 | 2024 |
| Generative AI as a Learning Buddy and Teaching Assistant: Pre-service Teachers' Uses and Attitudes M Nyaaba, L Shi, M Nabang, X Zhai, P Kyeremeh, SA Ayoberd, ... arXiv preprint arXiv:2407.11983, 2024 | 7 | 2024 |
| & Zhai, X.(2023). Multimodality of ai for education: Towards artificial general intelligence GG Lee, L Shi, E Latif, Y Gao, A Bewersdorf, M Nyaaba arXiv preprint arXiv:2312.06037, 0 | 6 | |
| Developing and validating an instrument for teachers’ acceptance of artificial intelligence in education S Guo, L Shi, X Zhai Education and Information Technologies, 1-23, 2025 | 3* | 2025 |
| A Systematic Review on Artificial Intelligence in Supporting Teaching Practices: Application Types, Pedagogical Roles, and Technological Characteristics L Shi, I Choi Uses of Artificial Intelligence in STEM Education, 321, 2024 | 2 | 2024 |
| Can OpenAI o1 outperform humans in higher-order cognitive thinking? E Latif, Y Zhou, S Guo, L Shi, Y Gao, M Nyaaba, A Bewerdorff, X Yang, ... arXiv preprint arXiv:2412.05753, 2024 | 1 | 2024 |
| Investigating teachers’ use of an AI-Enabled system and their perceptions of AI integration in science classrooms: a case study L Shi, AC Ding, I Choi Education Sciences 14 (11), 1187, 2024 | 1 | 2024 |
| The pedagogical roles and characteristics of AI in education: a systematic review L Shi, I Choi Association for Educational Communications and Technology, 2022 | | 2022 |
| Applying Rasch Measurement to Validate the Colorado Learning Attitudes About Science Survey L Shi American Educational Research Association, 2022 | | 2022 |
| A Meta-Analysis of Mobile Learning in Science: A Pedagogical Role Perspective L Shi, TJ Kopcha American Educational Research Association, 2022 | | 2022 |
| A Framework to Conceptualize Machine Learning-based Science Assessments X Zhai, KC Haudek, L Shi, RH Nehm, M Urban-Lurain National Association of Research in Science Teaching, 2020 | | 2020 |
| Understanding the Perceived Usefulness of Mobile Technology in Physics Learning: A Pedagogical Perspective L Shi, X Zhai National Association of Research in Science Teaching, 2020 | | 2020 |
Kevin C. HaudekAssistant Professor, Michigan State UniversityDirección de correo verificada de msu.edu