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

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)