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Richard Scruggs
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2020 – today
- 2022
- [c7]Richard Scruggs
, Jalal Nouri
, Torkel Klingberg
:
Using Knowledge Tracing to Predict Students' Performance in Cognitive Training and Math. AIED (2) 2022: 410-413 - [c6]Shamya Karumbaiah, Jiayi Zhang, Ryan Baker, Richard Scruggs, Whitney L. Cade, Margaret Clements, Shuqiong Lin:
Using Neural Network-Based Knowledge Tracing for a Learning System with Unreliable Skill Tags. EDM 2022 - 2021
- [j3]Jodi Asbell-Clarke, Elizabeth Rowe, Mia Victoria Almeda, Teon Edwards, Erin Bardar, Santiago Gasca, Ryan S. Baker, Richard Scruggs:
The development of students' computational thinking practices in elementary- and middle-school classes using the learning game, Zoombinis. Comput. Hum. Behav. 115: 106587 (2021) - [j2]Elizabeth Rowe, Ma. Victoria Almeda, Jodi Asbell-Clarke, Richard Scruggs, Ryan Baker, Erin Bardar, Santiago Gasca:
Assessing implicit computational thinking in Zoombinis puzzle gameplay. Comput. Hum. Behav. 120: 106707 (2021) - [c5]J. Elizabeth Richey
, Jiayi Zhang, Rohini Das, Juan Miguel L. Andres-Bray, Richard Scruggs
, Michael Mogessie Ashenafi
, Ryan S. Baker
, Bruce M. McLaren
:
Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game. AIED (1) 2021: 342-355 - [c4]Rohini Das, Jiayi Zhang, Ryan S. Baker, Richard Scruggs:
A New Interpretation of Knowledge Tracing Models' Predictive Performance in Terms of the Cold Start Problem. EDM (Workshops) 2021 - [c3]Jiayi Zhang, Rohini Das, Ryan S. Baker, Richard Scruggs:
The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance. EDM 2021
2010 – 2019
- 2019
- [j1]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:
More confusion and frustration, better learning: The impact of erroneous examples. Comput. Educ. 139: 173-190 (2019) - [c2]J. Elizabeth Richey
, Bruce M. McLaren, Miguel Andres-Bray, Michael Mogessie Ashenafi, Richard Scruggs, Ryan S. Baker
, Jon R. Star
:
Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference? AIED (1) 2019: 445-457 - [i1]Richard Scruggs, Ryan S. Baker, Bruce M. McLaren:
Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance. CoRR abs/1910.12597 (2019) - 2018
- [c1]Elizabeth Rowe
, Jodi Asbell-Clarke, Ryan Shaun Baker, Santiago Gasca, Erin Bardar, Richard Scruggs:
Labeling Implicit Computational Thinking in Pizza Pass Gameplay. CHI Extended Abstracts 2018
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