Sexism: toxic to women's persistence in CSE doctoral programs. - Joanne McGrath Cohoon; Zhen Wu; Jie Chao (SIGCSE, 2009)

Improvement of DNA Origami's adsorption on silicon substrate. - Pengfei Dai; Honglu Zhang; Tie Li; Yuelin Wang; Jie Chao; Chunhai Fan (NEMS, 2013)

Design Principles for Science Laboratory Instruction Using Augmented Virtuality Technologies. - Crystal J. DeJaegher; Jennifer L. Chiu; Jie Chao (ICLS, 2014)

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)

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 001; Alejandra J. Magana; Chandan Dasgupta (ICLS, 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)

Understanding Science Learning Through Writings on Engineering Design. - Xudong Huang; Wanli Xing; Henglv Zhao; Jie Chao; Corey Schimpf; Guanhua Chen 009; Charles Xie (ICLS, 2020)

Mathematical modeling with R: embedding computational thinking into high school math classes. - Kenia Wiedemann; Jie Chao; Benjamin Galluzzo; Eric Simoneau (Inroads, 2020)

StoryQ - an Online Environment for Machine Learning of Text Classification. - William Finzer; Jie Chao; Carolyn P. Rosé; Shiyan Jiang (AAAI, 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 005; Kenia Wiedemann (Koli Calling, 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 001; James Fiacco; Chas Murray; Cansu Tatar; Kenia Wiedemann (SIGCSE (2), 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)

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 (AAAI, 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 (SIGCSE (2), 2023)

How learners produce data from text in classifying clickbait. - Nicholas J. Horton; Jie Chao; Phebe Palmer; William Finzer (CoRR, 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 Arshad Ali; Cynthia Breazeal; Clifford H. Lee; Elisabeth Soep; Duri Long; et al. (CoRR, 2023)

Programmable Nanostructures Based on Framework-DNA for Applications in Biosensing. - Bing Liu; Fan Wang; Jie Chao (Sensors, 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., 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 130; Jie Chao; Xiaolei Zuo; Ying Zhu; Lihua Wang; Jiang Li; et al. (Nat. Mac. Intell., 2023)

DNA-Based Gold Nanoparticle Assemblies: From Structure Constructions to Sensing Applications. - Mo Xie; Jinke Jiang; Jie Chao (Sensors, 2023)

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)

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., 2024)

Epistemic Curiosity in K-12 AI Education: A Trajectory Analysis. - Min Zhuang; Shiyan Jiang; Daria Smyslova; Carolyn P. Rosé; Jie Chao (AIED (4), 2025)

Generative assimilation and prediction for weather and climate. - Shangshang Yang; Congyi Nai; Xinyan Liu; Weidong Li; Jie Chao; Jingnan Wang; Leyi Wang; Xichen Li; Xi Chen; Bo Lu; Ziniu Xiao; Niklas Boers; et al. (CoRR, 2025)

Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast. - Jingnan Wang; Jie Chao; Shangshang Yang; Congyi Nai; Kaijun Ren; Kefeng Deng; Xi Chen; Yaxin Liu; Hanqiuzi Wen; Ziniu Xiao; Lifeng Zhang; Xiaodong Wang; et al. (CoRR, 2025)

Exploring Teachers' Views and Confidence in the Integration of an Artificial Intelligence Curriculum into Their Classrooms: a Case Study of Curricular Co-Design Program. - Cansu Tatar; Shiyan Jiang; Carolyn P. Rosé; Jie Chao (Int. J. Artif. Intell. Educ., 2025)