Machine Learning and the Five Big Ideas in AI-Reference-Cited by-同舟云学术

Machine Learning and the Five Big Ideas in AI

Published:2022-10-27 Issue: Volume: Page:
ISSN:1560-4292
Container-title:International Journal of Artificial Intelligence in Education
language:en
Short-container-title:Int J Artif Intell Educ

Author:

Touretzky David^ORCID,Gardner-McCune Christina,Seehorn Deborah

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Education

Link

https://link.springer.com/content/pdf/10.1007/s40593-022-00314-1.pdf

Reference102 articles.

1. AAAI. (2018). AAAI Launches “AI for K-12” Initiative in collaboration with the Computer Science Teachers Association (CSTA) and AI4All. https://aaai.org/Pressroom/Releases/release-18-0515.pdf. Accessed 18 Oct 2022

2. AI4K12.org. (2020). Big Idea 3 - Learning - K-12 Learning Progression. Release for Public Review November 19, 2020. https://ai4k12.org/wp-content/uploads/2021/01/AI4K12-Big-Idea-3-Progression-Chart-Working-Draft-of-Big-Idea-3-v.11.19.2020.pdf.

3. AI4K12.org. (2022). Working Group and Advisory Board Members. https://ai4k12.org/working-group-and-advisory-board-members/. Accessed 18 Oct 2022

4. Ali, S., DiPaola, D., Lee, I., Sindato, V., Kim, G., Blumofe, R., & Breazeal, C. (2021). Children as creators, thinkers and citizens in an AI-driven future. Computers and Education: Artificial Intelligence, 2, 100040.

5. Bandyopadhyay, S., Xu, J., Pawar, N., & Touretzky, D. (2022). Interactive Visualizations of Word Embeddings for K-12 Students. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12713–12720. https://doi.org/10.1609/aaai.v36i11.21548

Cited by 30 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. Developing and validating measures for AI literacy tests: From self-reported to objective measures;Computers and Education: Artificial Intelligence;2024-12

2. Co-Designing AI literacy for K-12 Education;Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research;2024-09-16

3. Unpacking Approaches to Learning and Teaching Machine Learning in K-12 Education: Transparency, Ethics, and Design Activities;Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research;2024-09-16

4. Identifying Secondary School Students' Misconceptions about Machine Learning: An Interview Study;Proceedings of the 19th WiPSCE Conference on Primary and Secondary Computing Education Research;2024-09-16

5. AI-litteracitet i teknikundervisning;ATENA Didaktik;2024-08-29