published research

Journal Articles

  1. 1. A Scoping Study of Parents’ Roles and Strategies in Children’s AI Use
    V. Delaney, and J. J. Chen
    Journal of Research in Childhood Education,
    under review
  2. 2. Leveraging Artificial Intelligence: Equity and Ethical Considerations, and Policy Recommendations for Education Leaders and Teachers
    J. J. Chen, and V. Delaney
    Early Childhood Education Journal,
    under review
  3. 3. Learning through Machine Teaching: An Inquiry and Sensemaking Framework for ML Modeling
    J. King Chen, V. Delaney, T. Tseng, and 3 more authors
    Journal of the Learning Sciences,
    under review
  4. 4. High school teachers’ data set aesthetics
    V. Delaney, and V. R. Lee
    Information and Learning Sciences, 2024
    ahead-of-print
  5. 5. CO-ML: Collaborative Machine Learning Model Building for Developing Dataset Design Practices
    T. Tseng, M. J. Davidson, L. Morales-Navarro, and 5 more authors
    ACM Transactions on Computing Education, 2024
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  6. 6. Sustaining at Scale: District Mathematics Specialists’ Adaptations to a Teacher Leadership Preparation Program
    M. Jarry-Shore, V. Delaney, and H. Borko
    Investigations in Mathematics Learning, 2023
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  7. 7. Identifying the content, lesson structure, and data use within pre-collegiate data science curricula
    V. R. Lee, and V. Delaney
    Journal of Science Education and Technology, 2022
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  8. 8. Learning to Lead: An Approach to Mathematics Teacher Development
    H. Borko, J. Carlson, R. Deutscher, and 8 more authors
    International Journal of Science and Mathematics Education, 2021
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Book Chapters

  1. 1. Four surveillance technologies and challenges for education
    R. Pea, P. Biernacki, M. Bigman, and 13 more authors
    In AI in Learning: Designing the Future, 2023

Published Conference Proceedings

  1. 1. Teaching Machine Learning as Adaptive Design Work
    V. Delaney, and M. Selbach-Allen
    In 19th International Conference of the Learning Sciences-ICLS, 2023
    under review
  2. 2. Enacting Care in a Community College Math Classroom: A Case Study
    M. Selbach-Allen, and V. Delaney
    In Research on Undergraduate Mathematics Education conference, 2023
    accepted
  3. 3. Exploring undergraduate mathematics students’ math identities using sentiment analysis: Affordances and precautions
    V. Delaney, and M. Selbach-Allen
    In Research on Undergraduate Mathematics Education conference, 2023
    accepted
  4. 4. "What’s the issue with giving away data?" Challenges in Building Critical Consciousness in Facial Recognition
    V. Delaney, and M. Selbach-Allen
    In Data Science Education in K-12 Inaugural Conference, 2023
    accepted
  5. 5. What does it mean to be literate in the time of AI? Different Perspectives on Learning and Teaching AI Literacies in K-12 Education
    Y. B. Kafai, C. Proctor, V. Delaney, and 7 more authors
    In Proceedings of the 18th International Conference of the Learning Sciences-ICLS, 2024
  6. 6. Math of Facial Recognition: Co-design of a machine learning and statistics integrated curriculum for high school
    V. Delaney, D. Dobervich, I. Sieh, and 1 more author
    In Proceedings of the 18th International Conference of the Learning Sciences-ICLS, 2024
  7. 7. Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers
    B. Xie, P. Sarin, J. Wolf, and 7 more authors
    In Proceedings of the 38th Annual Meeting of the Symposium of Educational Advances in Artificial Intelligence, 2024
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  8. 8. Students’ constructed explanations for how artificial intelligence generates recommendations in YouTube
    V. Delaney, P. Sarin, and V. R. Lee
    In Proceedings of the 17th International Conference of the Learning Sciences-ICLS, 2023
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  9. 9. "With statistics, that’s supposed to take bias away": Divergent teacher views on engaging students with race in data sets
    V. Delaney, and V. R. Lee
    In Proceedings of the 16th International Conference of the Learning Sciences-ICLS 2022, 2022
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  10. 10. Eliciting High School Students’ Conceptions and Intuitions about Algorithmic Bias
    V. R. Lee, V. Delaney, and P. Sarin
    In Proceedings of the 2022 ACM Conference on International Computing Education Research, 2022
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  11. 11. The Teacher’s Role in Sustaining Cognitive Demand with Desmos
    V. Delaney
    In Proceedings of the 44th Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
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  12. 12. Sustaining Cognitive Demand with Desmos Technology
    V. Delaney, and G. Kinsey
    In Proceedings of the 43rd Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
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  13. 13. Classification in math class: Using convolutional neural networks to categorize student cognitive demand
    V. Delaney, and J. Bhatia
    In CEUR-WS Workshop Proceedings, 2021
    co-located with the 16th European Conference on Technology-Enhanced Learning
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  14. 14. Aesthetics of Authenticity for Teachers’ Data Set Preferences
    V. R. Lee, and V. Delaney
    In Proceedings of the 15th International Conference of the Learning Sciences-ICLS, 2021
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Peer-Reviewed Conference Papers

  1. 1. High school teachers’ emergent AI literacy goals during professional learning about lesson co-design
    V. Delaney, C. Mah, and V. R. Lee
    2025
    accepted poster
  2. 2. Predicting the Constructiveness of Student-Student Classroom Conversations: An Exploratory Study on Uptake
    H. Hsieh, and V. Delaney
    2023
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  3. 3. "AI is computers that have brains and are running everything!" Expert-Novice Conceptions of Artificial Intelligence, Machine Learning, and Mathematics
    E. Kang, S. Kim, S. Porter, and 2 more authors
    2023
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  4. 4. Exploring Secondary School Students’ Perceptions of Mathematics within Artificial Intelligence Applications
    E. Kang, S. Kim, S. Porter, and 2 more authors
    2022
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  5. 5. Does Desmos Drive Cognitive Demand? A Study of Digital Technology Use in Middle School Mathematics
    V. Delaney, and G. Kinsey
    2022
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  6. 6. Classification in Math Class: Using Computer Vision to Detect Cognitive Demand in Students’ Groupwork
    V. Delaney
    2021
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  7. 7. What Is Being Covered in Standalone Secondary School Data Science Curricula?
    V. R. Lee, and V. Delaney
    2021
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