Machine Beats Experts: Automatic Discovery of Skill Models for Data-Driven Online Courseware Refinement. - Noboru Matsuda; Tadanobu Furukawa; Norman L. Bier; Christos Faloutsos (EDM, 2015)

Learning is Not a Spectator Sport: Doing is Better than Watching for Learning from a MOOC. - Kenneth R. Koedinger; Jihee Kim; Julianna Zhuxin Jia; Elizabeth A. McLaughlin; Norman L. Bier (L@S, 2015)

Cognitive Tutors Produce Adaptive Online Course: Inaugural Field Trial. - Noboru Matsuda; Martin Van Velsen; Nikolaos Barbalios; Shuqiong Lin; Hardik Vasa; Roya Hosseini; Klaus Sutner; Norman L. Bier (ITS, 2016)

Is the doer effect a causal relationship?: how can we tell and why it's important. - Kenneth R. Koedinger; Elizabeth A. McLaughlin; Julianna Zhuxin Jia; Norman L. Bier (LAK, 2016)

A Human-Centered Approach to Data Driven Iterative Course Improvement. - Steven Moore; John C. Stamper; Norman L. Bier; Mary Jean Blink (REV, 2020)

Assessing the Quality of Student-Generated Short Answer Questions Using GPT-3. - Steven Moore; Huy Anh Nguyen; Norman L. Bier; Tanvi Domadia; John C. Stamper (EC-TEL, 2022)

Towards Generalized Methods for Automatic Question Generation in Educational Domains. - Huy Anh Nguyen; Shravya Bhat; Steven Moore; Norman L. Bier; John C. Stamper (EC-TEL, 2022)

Machine-Generated Questions Attract Instructors When Acquainted with Learning Objectives. - Machi Shimmei; Norman L. Bier; Noboru Matsuda (AIED, 2023)

Curio: An On-Demand Help-Seeking System on iTextbooks for Accelerating Research on Educational Recommendation Algorithms. - Ying-Jui Tseng; Yu-Hsin Lin 005; Gautam Yadav; Norman L. Bier; Vincent Aleven (iTextbooks@AIED, 2023)

Curio: Enhancing STEM Online Video Learning Experience Through Integrated, Just-in-Time Help-Seeking. - Ying-Jui Tseng; Yu-Hsin Lin 004; Gautam Yadav; Norman L. Bier; Vincent Aleven (EC-TEL (1), 2024)

Platform-based Adaptive Experimental Research in Education: Lessons Learned from The Digital Learning Challenge. - Ilya Musabirov; Mohi Reza; Haochen Song; Steven Moore; Pan Chen; Harsh Kumar; Tong Li; John C. Stamper; Norman L. Bier; Anna N. Rafferty; Thomas W. Price; Nina Deliu; et al. (LAK, 2025)