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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Teaching AI to K-12 Learners: Lessons, Issues, and Guidance
Shuchi Grover
(2024), pp. 422-428
Closed Access | Times Cited: 12

Showing 12 citing articles:

From Lecture Hall to Homeroom: Co-Designing an AI Elective with Middle School CS Teachers
William Gelder, Yu Xing, David S. Touretzky, et al.
International Journal of Artificial Intelligence in Education (2025)
Closed Access
Rooted in the Collective: A Culturally Situated Artificial Intelligence (AI) Education Workshop For Urban Farmers
Sukanya Kannan Moudgalya, Carmen Palileo, Srinayana Patil, et al.
(2025), pp. 791-797
Closed Access
TrainYourSnakeAI: A Novel Tool to Teach Reinforcement Learning to Middle School Students
C. Hinojosa, Priyanka Kumar, Pragathi Durga Rajarajan, et al.
(2025), pp. 506-512
Closed Access
Beyond Good AI: The Need for Sound Learning Theories in AIED
Tanmay Sinha
Technology Knowledge and Learning (2025)
Open Access
Enduring Lessons from 'Computer Science for All' for AI Education in Schools
Shuchi Grover, Deborah A. Fields, Yasmin B. Kafai, et al.
(2024), pp. 1533-1534
Closed Access | Times Cited: 4
Learning an Explanatory Model of Data-Driven Technologies can Lead to Empowered Behavior: A Mixed-Methods Study in K-12 Computing Education
Lukas Höper, Carsten Schulte, Andreas Mühling
(2024), pp. 326-342
Closed Access | Times Cited: 2
A No-Code AI Education Tool for Learning AI in K-12 by Making Machine Learning-Driven Apps
Nicolas Pope, Henriikka Vartiainen, Juho Kahila, et al.
(2024), pp. 105-109
Closed Access | Times Cited: 1
Enhancing Understanding of Data Traces and Profiling Among K--9 Students Through an Interactive Classroom Game
Juho Kahila, Henriikka Vartiainen, Eetu Arkko, et al.
(2024) Vol. 34, pp. 1-9
Closed Access | Times Cited: 1
AI in and for K-12 Informatics Education. Life after Generative AI.
Erik Barendsen, Violetta Lonati, Keith Quille, et al.
(2024), pp. 279-280
Closed Access | Times Cited: 1
Evidence-based advancement of teaching AI in K-12: an action research approach
Franz Jetzinger
(2024), pp. 1-2
Closed Access
Unpacking Approaches to Learning and Teaching Machine Learning in K-12 Education: Transparency, Ethics, and Design Activities
Luis Morales‐Navarro, Yasmin B. Kafai
(2024) Vol. 14, pp. 1-10
Closed Access
New Perspectives on the Future of Computing Education: Teaching and Learning Explanatory Models
Lukas Höper, Carsten Schulte
(2024), pp. 1-8
Open Access
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