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Carl E. Wieman

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affiliation: Stanford University, USA
award (2001): Nobel Prize in Physics

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2020 – today

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2024
[c6]
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  - conf/lak/WangCW24
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Karen D. Wang, Zhongzhou Chen, Carl E. Wieman:
Can Crowdsourcing Platforms Be Useful for Educational Research? LAK 2024: 416-425
2023
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Karen D. Wang, Eric Burkholder, Carl E. Wieman, Shima Salehi, Nick Haber:
Examining the Potential and Pitfalls of ChatGPT in Science and Engineering Problem-Solving. CoRR abs/2310.08773 (2023)
2021
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Karen D. Wang, Krishnan Nair, Carl E. Wieman:
Examining the Links between Log Data and Reflective Problem-solving Practices in An Interactive Task. LAK 2021: 525-532
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Karen D. Wang, Shima Salehi, Max Arseneault, Krishnan Nair, Carl E. Wieman:
Automating the Assessment of Problem-solving Practices Using Log Data and Data Mining Techniques. L@S 2021: 69-76
2020
[c3]
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  - conf/fie/BurkholderW20
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Eric Burkholder, Carl E. Wieman:
Comparing problem-solving across capstone design courses in chemical engineering. FIE 2020: 1-5
[c2]
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  - conf/sigcse/SalehiWTW20
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Shima Salehi, Karen D. Wang, Ruqayya Toorawa, Carl E. Wieman:
Can Majoring in Computer Science Improve General Problem-solving Skills? SIGCSE 2020: 156-161

2010 – 2019

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2014
[j1]
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Carl E. Wieman:
Editorial for special issue on concept inventories in computing. Comput. Sci. Educ. 24(4): 250-252 (2014)
2010
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Carl E. Wieman:
Science education for the 21st century: using the insights of science to teach/learn science. SIGCSE 2010: 198

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