Nominated Best Papers

Best paper nominees – Full

• Predicting Reading Comprehension Scores of Elementary School Students
  • Yuyang Nie, Helene Deacon, Alona Fyshe and Carrie Demmans Epp (Session 4, July 24)
    
• Addressing Competing Objectives in Allocating Funds to Scholarships and Need-based Financial Aid
  • Vinthuy Phan, Laura Wright and Bridgette Decent (Session 5, July 24)
    
• Detecting SMART Model Cognitive Operations in Mathematical Problem-Solving Process
  • Jiayi Zhang, Juliana Ma. Alexandra L. Andres, Stephen Hutt, Ryan S. Baker, Jaclyn Ocumpaugh, Caitlin Mills, Jamiella Brooks, Sheela Sethuraman and Tyron Young (Session 10, July 25)
    
• Investigating Temporal Dynamics Underlying Successful Collaborative Problem Solving Behaviors with Multilevel Vector Autoregression
  • Guojing Zhou, Robert Moulder, Chen Sun and Sidney D’Mello (Session 14, July 26)

Best paper nominees – Short

• Admitting you have a problem is the first step: Modeling when and why students seek help in programming assignments
  • Zhikai Gao, Bradley Erickson, Yiqiao Xu, Collin Lynch, Sarah Heckman and Tiffany Barnes (Session 6, July 24)
    
• Towards Real Interpretability of Student Success Prediction Combining Methods of XAI and Social Science
  • Lea Cohausz (Session 7, July 24)
    
• The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues
  • Anaïs Tack and Chris Piech (Session 9, July 25)
    
• Log mining for course recommendation in limited information scenarios
  • Juan Sanguino, Ruben Manrique, Olga Mariño, Mario Linares and Nicolas Cardozo (Session 13, July 26)