Richard Scruggs

12 papers B 2C 1Journal 4Unranked 5
YearRankTypeTitle / Venue / Authors
2022 — conf
Using Knowledge Tracing to Predict Students' Performance in Cognitive Training and Math.
AIED (2)
Richard Scruggs, Jalal Nouri, Torkel Klingberg
2022 B conf
Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags.
EDM
Shamya Karumbaiah, Jiayi Zhang, Ryan Baker, Richard Scruggs, Whitney L. Cade, Margaret Clements, Shuqiong Lin
2021 — conf
A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem.
EDM (Workshops)
Rohini Das, Jiayi Zhang, Ryan S. Baker, Richard Scruggs
2021 J jnl
Assessing implicit computational thinking in
Comput. Hum. Behav.
Elizabeth Rowe, Ma. Victoria Almeda, Jodi Asbell-Clarke, Richard Scruggs, Ryan Baker, Erin Bardar, Santiago Gasca
2021 — conf
Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game.
AIED (1)
J. Elizabeth Richey, Jiayi Zhang, Rohini Das, Juan Miguel L. Andres-Bray, Richard Scruggs, Michael Mogessie Ashenafi, Ryan S. Baker, Bruce M. McLaren
2021 B conf
The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance.
EDM
Jiayi Zhang, Rohini Das, Ryan S. Baker, Richard Scruggs
2021 J jnl
The development of students' computational thinking practices in elementary- and middle-school classes using the learning game,
Comput. Hum. Behav.
Jodi Asbell-Clarke, Elizabeth Rowe, Mia Victoria Almeda, Teon Edwards, Erin Bardar, Santiago Gasca, Ryan S. Baker, Richard Scruggs
2020 C conf
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting PostSystem Performance.
ICCE
Richard Scruggs, Ryan S. Baker, Bruce M. McLaren
2019 — conf
Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference?
AIED (1)
J. Elizabeth Richey, Bruce M. McLaren, Miguel Andres-Bray, Michael Mogessie Ashenafi, Richard Scruggs, Ryan S. Baker, Jon R. Star
2019 J jnl
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance.
CoRR
Richard Scruggs, Ryan S. Baker, Bruce M. McLaren
2019 J jnl
More confusion and frustration, better learning: The impact of erroneous examples.
Comput. Educ.
J. Elizabeth Richey, Juan Miguel L. Andres-Bray, Michael Mogessie Ashenafi, Richard Scruggs, Juliana Ma. Alexandra L. Andres, Jon R. Star, Ryan S. Baker, Bruce M. McLaren
2018 — conf
Labeling Implicit Computational Thinking in Pizza Pass Gameplay.
CHI Extended Abstracts
Elizabeth Rowe, Jodi Asbell-Clarke, Ryan Shaun Baker, Santiago Gasca, Erin Bardar, Richard Scruggs