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Author

Kenia Wiedemann

Institution: Concord Consortium
ORCID: 0000-0003-1075-5696
Observed ORCID: 0000-0003-1075-5696
OpenAlex ID: A5020409720
An empirical analysis of high school students' practices of modelling with unstructured data
2022 · Shiyan Jiang, Amato Nocera, et al. · British Journal of Educational Technology · 54
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Mathematical modeling with R: embedding computational thinking into high school math classes
2020 · Kenia Wiedemann, Jie Chao, et al. · ACM Inroads · 14
Exploring Artificial Intelligence in English Language Arts with StoryQ
2023 · Jie Chao, Rebecca Ellis, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 11
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High School Students’ Sense-making of Artificial Intelligence and Machine Learning
2022 · Cansu Tatar, Duncan Culbreth, et al. · Koli Calling International Conference on Computing Education Research · 7
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StoryQ: A Web-Based Machine Learning and Text Mining Tool for K-12 Students
2022 · Jie Chao, Bill Finzer, et al. · ACM Technical Symposium on Computer Science Education (SIGCSE) · 5
Using Entropy Analysis to Explore Student Engagement in an Online High School Data Science Course
2024 · Barnas Monteith, Jie Chao, et al. · 1
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Examining High School Students’ Self-Efficacy in Machine Learning Practices
2023 · Cansu Tatar, Jeanne McClure, et al. · Proceedings. · 1
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Teach Artificial Intelligence with StoryQ, A Web-Based Machine Learning and Text Mining Tool for K-12 Students
2022 · Jie Chao, William Finzer, et al. · ACM Technical Symposium on Computer Science Education (SIGCSE) · 1
Using Biterm Topic Modeling to Explore Gender Differences in Secondary Students’ Wonderings about AI Concepts
2024 · Doreen Mushi, Jie Chao, et al. · Proceedings.
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Leveraging Student Choice and Interest to Design an Engaging Lesson about Artificial Intelligence
2024 · Rebecca Ellis, Jie Chao, et al. · Proceedings.
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Works count: 10
Citation count: 94
H-index: 5
I10-index: 3
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