Jie Chao

According to our database, Jie Chao authored at least 22 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards inclusivity in AI: A comparative study of cognitive engagement between marginalized female students and peers.

Shiyan Jiang, Jeanne McClure, Cansu Tatar, Franziska Bickel, Carolyn P. Rosé, Jie Chao

Br. J. Educ. Technol., November, 2024

Using multiple, dynamically linked representations to develop representational competency and conceptual understanding of the earthquake cycle.

Christopher Lore, Hee-Sun Lee, Amy Pallant, Jie Chao

Comput. Educ., 2024

2023

DNA-Based Gold Nanoparticle Assemblies: From Structure Constructions to Sensing Applications.

Mo Xie, Jinke Jiang, Jie Chao

Sensors, November, 2023

A temporally resolved DNA framework state machine in living cells.

Yan Zhao, Shuting Cao, Yue Wang, Fan Li, Lixuan Lin, Linjie Guo, Fei Wang, Jie Chao, Xiaolei Zuo, Ying Zhu, Lihua Wang, Jiang Li, Chunhai Fan

Nat. Mac. Intell., September, 2023

Examining computational thinking processes in modeling unstructured data.

Shiyan Jiang, Yingxiao Qian, Hengtao Tang, Rabia Yalcinkaya, Carolyn P. Rosé, Jie Chao, William Finzer

Educ. Inf. Technol., April, 2023

Programmable Nanostructures Based on Framework-DNA for Applications in Biosensing.

Bing Liu, Fan Wang, Jie Chao

Sensors, March, 2023

Making Sense of Machine Learning: Integrating Youth's Conceptual, Creative, and Critical Understandings of AI.

Luis Morales-Navarro, Yasmin B. Kafai, Francisco Enrique Vicente Castro, William Christopher Payne, Kayla DesPortes, Daniella DiPaola, Randi Williams, Safinah Ali, Cynthia Breazeal, Clifford H. Lee, Elisabeth Soep, Duri Long, Brian Magerko, Jaemarie Solyst, Amy Ogan, Cansu Tatar, Shiyan Jiang, Jie Chao, Carolyn P. Rosé, Sepehr Vakil

CoRR, 2023

How learners produce data from text in classifying clickbait.

Nicholas J. Horton, Jie Chao, Phebe Palmer, William Finzer

CoRR, 2023

Teach Artificial Intelligence with StoryQ, A Web-Based Machine Learning and Text Mining Tool for K-12 Students.

Jie Chao, William Finzer, Carolyn P. Rosé, Shiyan Jiang, Rebecca Ellis, Kenia Wiedemann, Cansu Tatar, James Fiacco

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Exploring Artificial Intelligence in English Language Arts with StoryQ.

Jie Chao, Rebecca Ellis, Shiyan Jiang, Carolyn P. Rosé, William Finzer, Cansu Tatar, James Fiacco, Kenia Wiedemann

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

An empirical analysis of high school students' practices of modelling with unstructured data.

Shiyan Jiang, Amato Nocera, Cansu Tatar, Michael Miller Yoder, Jie Chao, Kenia Wiedemann, William Finzer, Carolyn P. Rosé

Br. J. Educ. Technol., 2022

StoryQ: A Web-Based Machine Learning and Text Mining Tool for K-12 Students.

Jie Chao, Bill Finzer, Carolyn P. Rosé, Shiyan Jiang, Michael Yoder, James Fiacco, Chas Murray, Cansu Tatar, Kenia Wiedemann

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

High School Students' Sense-making of Artificial Intelligence and Machine Learning.

Cansu Tatar, Duncan Culbreth, Shiyan Jiang, Carolyn P. Rosé, Jie Chao, Rebecca Ellis, Shan Jiang, Kenia Wiedemann

Proceedings of the Koli Calling '22: 22nd Koli Calling International Conference on Computing Education Research, 2022

StoryQ - an Online Environment for Machine Learning of Text Classification.

William Finzer, Jie Chao, Carolyn P. Rosé, Shiyan Jiang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Mathematical modeling with R: embedding computational thinking into high school math classes.

Kenia Wiedemann, Jie Chao, Benjamin Galluzzo, Eric Simoneau

Inroads, 2020

Understanding Science Learning Through Writings on Engineering Design.

Xudong Huang, Wanli Xing, Henglv Zhao, Jie Chao, Corey Schimpf, Guanhua Chen, Charles Xie

Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020

2018

Learning and teaching engineering design through modeling and simulation on a CAD platform.

Charles Xie, Corey Schimpf, Jie Chao, Saeid Nourian, Joyce Massicotte

Comput. Appl. Eng. Educ., 2018

Using Machine Learning Techniques to Capture Engineering Design Behaviors.

James P. Bywater, Mark Floryan, Jennifer L. Chiu, Jie Chao, Corey Schimpf, Charles Xie, Camilo Vieira, Alejandra J. Magana, Chandan Dasgupta

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

2015

The effects of augmented virtual science laboratories on middle school students' understanding of gas properties.

Jennifer L. Chiu, Crystal J. DeJaegher, Jie Chao

Comput. Educ., 2015

2014

Design Principles for Science Laboratory Instruction Using Augmented Virtuality Technologies.

Crystal J. DeJaegher, Jennifer L. Chiu, Jie Chao

Proceedings of the Learning and Becoming in Practice: Proceedings of the 11th International Conference of the Learning Sciences, 2014

2013

Improvement of DNA Origami's adsorption on silicon substrate.

Pengfei Dai, Honglu Zhang, Tie Li, Yuelin Wang, Jie Chao, Chunhai Fan

Proceedings of the 8th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2013

2009

Sexism: toxic to women's persistence in CSE doctoral programs.

Joanne McGrath Cohoon, Zhen Wu, Jie Chao

Proceedings of the 40th SIGCSE Technical Symposium on Computer Science Education, 2009