• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 12 matches

• 2024
• 
  Jeffrey T. Scruggs, Richard Lee, Yafeng Yin:
  Global Stabilization of Nash Equilibrium for Mixed Traffic. ACC 2024: 1480-1487
• 2022
• 
  Richard Scruggs, Jalal Nouri, Torkel Klingberg:
  Using Knowledge Tracing to Predict Students' Performance in Cognitive Training and Math. AIED (2) 2022: 410-413
• 
  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
• 
  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)
• 
  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)
• 
  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
• 
  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
• 
  Jiayi Zhang, Rohini Das, Ryan S. Baker, Richard Scruggs:
  The Cold Start Problem and Interpretation of Knowledge Tracing Models' Predictive Performance. EDM 2021
• 2019
• 
  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)
• 
  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
• 
  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
• 
  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