A General Multi-method Approach to Data-Driven Redesign of Tutoring Systems. - Yun Huang 002; Nikki G. Lobczowski; J. Elizabeth Richey; Elizabeth A. McLaughlin; Michael W. Asher; Judith M. Harackiewicz; Vincent Aleven; Kenneth R. Koedinger (LAK, 2021)

Item Response Theory-Based Gaming Detection. - Yun Huang 002; Steven Dang; J. Elizabeth Richey; Michael W. Asher; Nikki G. Lobczowski; Danielle R. Chine; Elizabeth A. McLaughlin; Judith M. Harackiewicz; Vincent Aleven; Kenneth R. Koedinger (EDM, 2022)

Using latent variable models to make gaming-the-system detection robust to context variations. - Yun Huang 002; Steven Dang; J. Elizabeth Richey; Pallavi Chhabra; Danielle R. Thomas; Michael W. Asher; Nikki G. Lobczowski; Elizabeth A. McLaughlin; Judith M. Harackiewicz; Vincent Aleven; Kenneth R. Koedinger (User Model. User Adapt. Interact., 2023)

Does the Doer Effect Exist Beyond WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning. - Darren Butler; Conrad Borchers; Michael W. Asher; Yongmin Lee; Sonya Karnataki; Sameeksha Dangi; Samyukta Athreya; John C. Stamper; Amy Ogan; Paulo F. Carvalho (CoRR, 2024)

Does the Doer Effect Generalize To Non-WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning. - Darren Butler; Conrad Borchers; Michael W. Asher; Yongmin Lee; Sonya Karnataki; Sameeksha Dangi; Samyukta Athreya; John C. Stamper; Amy Ogan; Paulo Carvalho 004 (LAK, 2025)

The promise of mastery-based testing for promoting student engagement, self-regulated learning, and performance in gateway STEM courses. - Michael W. Asher; Joshua D. Hartman; Mark Blaser; Jack F. Eichler; Paulo F. Carvalho (Comput. Educ., 2025)