What Should Data Science Education Do With Large Language Models?-Reference-Cited by-同舟云学术

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What Should Data Science Education Do With Large Language Models?

Published:2024-01-19 Issue:1 Volume:6 Page:
ISSN:
Container-title:Harvard Data Science Review
language:en
Short-container-title:

Author:

Tu Xinming¹,Zou James²,Su Weijie³,Zhang Linjun⁴^ORCID

Affiliation:

1. University of Washington, Seattle, Washington, United States of America

2. Stanford University, Stanford, California, United States of America

3. University of Pennsylvania, Philadelphia, Pennsylvania, United States of America

4. Rutgers University, New Brunswick, New Jersey, United States of America

Publisher

MIT Press

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Digitale Leistungsnachweise im Zeitalter von generativer künstlicher Intelligenz;Zeitschrift für Hochschulentwicklung;2024-09-04

2. Advanced large language models and visualization tools for data analytics learning;Frontiers in Education;2024-08-08

3. Shaping Programming and Data Science Education: Insights from GenAI Technical Book Trends;2024 IEEE International Conference on Advanced Learning Technologies (ICALT);2024-07-01

4. Large Language Model-assisted Clustering and Concept Identification of Engineering Design Data;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25

5. Future of Education with Neuro-Symbolic AI Agents in Self-Improving Adaptive Instructional Systems;Frontiers of Digital Education;2024-06

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