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Xiaoming Zhai
Xiaoming Zhai
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Citado por
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Año
ChatGPT for next generation science learning
X Zhai
XRDS: Crossroads, The ACM Magazine for Students 29 (3), 42-46, 2023
687*2023
Assessing computational thinking: A systematic review of empirical studies
X Tang, Y Yin, Q Lin, R Hadad, X Zhai
Computers & Education 148, 103798, 2020
5512020
Artificial intelligence in education research during 2013– 2023: A review based on bibliometric analysis
S Guo, Y Zheng, X Zhai
Education and Information Technologies, 2023
387*2023
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
1842020
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
792020
Large-Scale Assessment in Science Education
X Zhai, JW Pellegrino
Handbook of Research on Science Education 3, 1045- 1098, 2022
74*2022
Assessing learning in technology-rich maker activities: A systematic review of empirical research
Q Lin, Y Yin, X Tang, R Hadad, X Zhai
Computers & Education 157, 103944, 2020
732020
Practices and theories: How can machine learning assist in innovative assessment practices in science education
X Zhai
Journal of Science Education and Technology 30 (2), 139-149, 2021
652021
Understanding the relationship between levels of mobile technology use in high school physics classrooms and the learning outcome
X Zhai, M Zhang, M Li, X Zhang
British journal of educational technology 50 (2), 750-766, 2019
642019
AGI: Artificial general intelligence for education
E Latif, G Mai, M Nyaaba, X Wu, N Liu, G Lu, S Li, T Liu, X Zhai
https://doi.org/10.48550/arXiv.2304.12479, 2023
59*2023
Applying machine learning to automatically assess scientific models
X Zhai, P He, J Krajcik
Journal of Research in Science Teaching 59 (10), 1765-1794, 2022
592022
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
562021
One‐to‐one mobile technology in high school physics classrooms: Understanding its use and outcome
X Zhai, M Zhang, M Li
British Journal of Educational Technology 49 (3), 516-532, 2018
532018
Using machine learning to score multi-dimensional assessments of chemistry and physics
S Maestrales, X Zhai, I Touitou, Q Baker, B Schneider, J Krajcik
Journal of Science Education and Technology 30, 239-254, 2021
492021
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
452020
On the validity of machine learning-based Next Generation Science Assessments: A validity inferential network
X Zhai, J Krajcik, JW Pellegrino
Journal of Science Education and Technology 30, 298-312, 2021
442021
Context matters: A strategy to pre-train language model for science education
Z Liu, X He, L Liu, T Liu, X Zhai
International Conference on Artificial Intelligence in Education, 666–674, 2023
392023
ChatGPT and AI: The Game Changer for Education
X Zhai
Shanghai Education, 2023
362023
Examining the uses of student-led, teacher-led, and collaborative functions of mobile technology and their impacts on physics achievement and interest
X Zhai, M Li, S Chen
Journal of Science Education and Technology 28, 310-320, 2019
352019
Evaluation of construct-irrelevant variance yielded by machine and human scoring of a science teacher PCK constructed response assessment
X Zhai, K Haudek, MAM Stuhlsatz, C Wilson
Studies in Educational Evaluation 67, 1-11, 2020
342020
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Artículos 1–20