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:
Five Design Recommendations for Teaching Teenagers’ about Artificial Intelligence and Machine Learning
Marie-Monique Schaper, Mariana Aki Tamashiro, Rachel Charlotte Smith, et al.
(2023), pp. 298-309
Closed Access | Times Cited: 14
Marie-Monique Schaper, Mariana Aki Tamashiro, Rachel Charlotte Smith, et al.
(2023), pp. 298-309
Closed Access | Times Cited: 14
Showing 14 citing articles:
"AI is a robot that knows many things": Cypriot children's perception of AI
Maria Kasinidou, Styliani Kleanthous, Jahna Otterbacher
(2024)
Closed Access | Times Cited: 6
Maria Kasinidou, Styliani Kleanthous, Jahna Otterbacher
(2024)
Closed Access | Times Cited: 6
Testing, Socializing, Exploring: Characterizing Middle Schoolers’ Approaches to and Conceptions of ChatGPT
Yasmine Belghith, Atefeh Mahdavi Goloujeh, Brian Magerko, et al.
(2024), pp. 1-17
Open Access | Times Cited: 4
Yasmine Belghith, Atefeh Mahdavi Goloujeh, Brian Magerko, et al.
(2024), pp. 1-17
Open Access | Times Cited: 4
Children's AI Design Platform for Making and Deploying ML-Driven Apps: Design, Testing, and Development
Nicolas Pope, Juho Kahila, Henriikka Vartiainen, et al.
IEEE Transactions on Learning Technologies (2025) Vol. 18, pp. 130-144
Open Access
Nicolas Pope, Juho Kahila, Henriikka Vartiainen, et al.
IEEE Transactions on Learning Technologies (2025) Vol. 18, pp. 130-144
Open Access
Co-design of analogical and embodied representations with children for child-centered AI learning experiences
Xiaofei Zhou, Yunfan Gong, Yushan Zhou, et al.
International Journal of Human-Computer Studies (2025), pp. 103462-103462
Closed Access
Xiaofei Zhou, Yunfan Gong, Yushan Zhou, et al.
International Journal of Human-Computer Studies (2025), pp. 103462-103462
Closed Access
Diversity in AI Education: Tailoring students’ learning paths for inclusive learning about facial recognition
Marie-Monique Schaper, Mariana Aki Tamashiro, Rachel Charlotte Smith, et al.
ACM Transactions on Computing Education (2025)
Closed Access
Marie-Monique Schaper, Mariana Aki Tamashiro, Rachel Charlotte Smith, et al.
ACM Transactions on Computing Education (2025)
Closed Access
Briteller: Shining a Light on AI Recommendations for Children
Xiaofei Zhou, Yi Zhang, Yufei Jiang, et al.
(2025), pp. 1-30
Closed Access
Xiaofei Zhou, Yi Zhang, Yufei Jiang, et al.
(2025), pp. 1-30
Closed Access
Transformative agency – the next step towards children's computational empowerment
Netta Iivari, Ole Sejer Iversen, Rachel Charlotte Smith, et al.
(2024) Vol. 15, pp. 322-337
Closed Access | Times Cited: 2
Netta Iivari, Ole Sejer Iversen, Rachel Charlotte Smith, et al.
(2024) Vol. 15, pp. 322-337
Closed Access | Times Cited: 2
"Bee and I need diversity!" Break Filter Bubbles in Recommendation Systems through Embodied AI Learning
Xiaofei Zhou, Yushan Zhou, Yunfan Gong, et al.
(2024) Vol. 11, pp. 44-61
Closed Access | Times Cited: 2
Xiaofei Zhou, Yushan Zhou, Yunfan Gong, et al.
(2024) Vol. 11, pp. 44-61
Closed Access | Times Cited: 2
How Artificial Intelligence and Machine Learning Can Impact Market Design
Syed Adnan Jawaid, Jamshir Qureshi
(2024)
Open Access | Times Cited: 1
Syed Adnan Jawaid, Jamshir Qureshi
(2024)
Open Access | Times Cited: 1
Development of Personalised Educational Tools for AI Literacy Using Participatory Design
Maria Kasinidou
(2024), pp. 30-34
Closed Access | Times Cited: 1
Maria Kasinidou
(2024), pp. 30-34
Closed Access | Times Cited: 1
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
Nicolas Pope, Henriikka Vartiainen, Juho Kahila, et al.
(2024), pp. 105-109
Closed Access | Times Cited: 1
Children’s AI Design Platform for Making and Deploying ML-Driven Apps
Nicolas Pope, Juho Kahila, Henriikka Vartiainen, et al.
(2023)
Open Access | Times Cited: 3
Nicolas Pope, Juho Kahila, Henriikka Vartiainen, et al.
(2023)
Open Access | Times Cited: 3
OptiDot: An Optical Interface for Children to Explore Dot Product and AI Recommendation
Xiaofei Zhou, Pei Xiong, Qinqin Xiao, et al.
(2024), pp. 1-7
Open Access
Xiaofei Zhou, Pei Xiong, Qinqin Xiao, et al.
(2024), pp. 1-7
Open Access
Identifying Secondary School Students' Misconceptions about Machine Learning: An Interview Study
Erik Marx, Clemens Witt, Thiemo Leonhardt
(2024), pp. 1-10
Closed Access
Erik Marx, Clemens Witt, Thiemo Leonhardt
(2024), pp. 1-10
Closed Access
Children’s AI Design Platform for Making and Deploying ML-Driven Apps
Nicolas Pope, Juho Kahila, Henriikka Vartiainen, et al.
(2023)
Open Access | Times Cited: 1
Nicolas Pope, Juho Kahila, Henriikka Vartiainen, et al.
(2023)
Open Access | Times Cited: 1
