| 2022 | EDM | Neural Recall Network: A Neural Network Solution to Low Recall Problem in Regex-based Qualitative Coding. | Zhiqiang Cai, Cody Marquart, David W. Shaffer |
| 2022 | HRI | CoFrame: A System for Training Novice Cobot Programmers. | Andrew J. Schoen, Nathan Thomas White, Curt Henrichs, Amanda Siebert-Evenstone, David W. Shaffer, Bilge Mutlu |
| 2018 | EDM | Impact of Corpus Size and Dimensionality of LSA Spaces from Wikipedia Articles on AutoTutor Answer Evaluation. | Zhiqiang Cai, Art Graesser, Leah Windsor, Qinyu Cheng, David W. Shaffer, Xiangen Hu |
| 2017 | EDM | Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment. | Zhiqiang Cai, Brendan R. Eagan, Nia Dowell, James W. Pennebaker, Arthur C. Graesser, David W. Shaffer |
| 2017 | EDM | Modeling Classifiers for Virtual Internships Without Participant Data. | Dipesh Gautam, Zachari Swiecki, David W. Shaffer, Vasile Rus, Arthur C. Graesser |
| 2017 | FlAIRS | Markov Analysis of Students' Professional Skills in Virtual Internships. | Vasile Rus, Dipesh Gautam, Dale Bowman, Arthur C. Graesser, David W. Shaffer |
| 2016 | EDM | Assessing Student-Generated Design Justifications in Virtual Engineering Internships. | Vasile Rus, Dipesh Gautam, Zach Swiecki, David W. Shaffer, Art Graesser |