Labeling Implicit Computational Thinking in Pizza Pass Gameplay. - Elizabeth Rowe; Jodi Asbell-Clarke; Ryan Shaun Baker; Santiago Gasca; Erin Bardar; Richard Scruggs (CHI Extended Abstracts, 2018)

Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference? - J. Elizabeth Richey; Bruce M. McLaren; Miguel Andres-Bray; Michael Mogessie Ashenafi; Richard Scruggs; Ryan S. Baker 001; Jon R. Star (AIED (1), 2019)

More confusion and frustration, better learning: The impact of erroneous examples. - J. Elizabeth Richey; Juan Miguel L. Andres-Bray; Michael Mogessie Ashenafi; Richard Scruggs; Juliana Ma. Alexandra L. Andres; Jon R. Star; Ryan S. Baker 001; Bruce M. McLaren (Comput. Educ., 2019)

Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance. - Richard Scruggs; Ryan S. Baker 001; Bruce M. McLaren (CoRR, 2019)

Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting PostSystem Performance. - Richard Scruggs; Ryan S. Baker 001; Bruce M. McLaren (ICCE, 2020)

Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game. - J. Elizabeth Richey; Jiayi Zhang 004; Rohini Das; Juan Miguel L. Andres-Bray; Richard Scruggs; Michael Mogessie Ashenafi; Ryan S. Baker 001; Bruce M. McLaren (AIED (1), 2021)

A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem. - Rohini Das; Jiayi Zhang 004; Ryan S. Baker 001; Richard Scruggs (EDM (Workshops), 2021)

The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance. - Jiayi Zhang 004; Rohini Das; Ryan S. Baker 001; Richard Scruggs (EDM, 2021)

The development of students' computational thinking practices in elementary- and middle-school classes using the learning game, Zoombinis. - Jodi Asbell-Clarke; Elizabeth Rowe; Mia Victoria Almeda; Teon Edwards; Erin Bardar; Santiago Gasca; Ryan S. Baker 001; Richard Scruggs (Comput. Hum. Behav., 2021)

Assessing implicit computational thinking in Zoombinis puzzle gameplay. - Elizabeth Rowe; Ma. Victoria Almeda; Jodi Asbell-Clarke; Richard Scruggs; Ryan Baker 001; Erin Bardar; Santiago Gasca (Comput. Hum. Behav., 2021)

Using Knowledge Tracing to Predict Students' Performance in Cognitive Training and Math. - Richard Scruggs; Jalal Nouri; Torkel Klingberg (AIED (2), 2022)

Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags. - Shamya Karumbaiah; Jiayi Zhang 004; Ryan Baker 001; Richard Scruggs; Whitney L. Cade; Margaret Clements; Shuqiong Lin (EDM, 2022)