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2020 – today
- 2023
[c13]Mingyu Feng
, Neil T. Heffernan, Kelly Collins, Cristina Heffernan, Robert F. Murphy:
Implementing and Evaluating ASSISTments Online Math Homework Support At large Scale over Two Years: Findings and Lessons Learned. AIED 2023: 28-40- [c12]Ashish Gurung, Sami Baral, Morgan P. Lee, Adam C. Sales, Aaron Haim, Kirk P. Vanacore, Andrew A. McReynolds, Hilary Kreisberg, Cristina Heffernan, Neil T. Heffernan:
How Common are Common Wrong Answers? Crowdsourcing Remediation at Scale. L@S 2023: 70-80
2010 – 2019
- 2017
- [c11]Shimin Kai, Ma. Victoria Almeda, Ryan S. Baker, Nicole Shechtman, Cristina Heffernan, Neil T. Heffernan:
Modeling Wheel-spinning and Productive Persistence in Skill Builders. EDM 2017 - [c10]Paul Salvador Inventado, Peter Scupelli, Cristina Heffernan, Neil T. Heffernan:
Feedback Design Patterns for Math Online Learning Systems. EuroPLoP 2017: 31:1-31:15 - [c9]Jaclyn Ocumpaugh, Ryan S. Baker, Maria Ofelia Clarissa Z. San Pedro, M. Aaron Hawn, Cristina Heffernan, Neil T. Heffernan, Stefan A. Slater:
Guidance counselor reports of the ASSISTments college prediction model (ACPM). LAK 2017: 479-488 - 2015
- [c8]Korinn Ostrow, Neil T. Heffernan, Cristina Heffernan, Zoe Peterson:
Blocking Vs. Interleaving: Examining Single-Session Effects Within Middle School Math Homework. AIED 2015: 338-347 - [c7]Yutao Wang, Neil T. Heffernan, Cristina Heffernan:
Towards better affect detectors: effect of missing skills, class features and common wrong answers. LAK 2015: 31-35 - 2014
- [j3]Neil T. Heffernan, Cristina Linquist-Heffernan:
The ASSISTments Ecosystem: Building a Platform that Brings Scientists and Teachers Together for Minimally Invasive Research on Human Learning and Teaching. Int. J. Artif. Intell. Educ. 24(4): 470-497 (2014) - [j2]Jaclyn Ocumpaugh, Ryan Shaun Baker, Sujith M. Gowda, Neil T. Heffernan, Cristina Heffernan:
Population validity for educational data mining models: A case study in affect detection. Br. J. Educ. Technol. 45(3): 487-501 (2014) - 2013
- [c6]Kim M. Kelly, Neil T. Heffernan, Cristina Heffernan, Susan R. Goldman, James Pellegrino, Deena Soffer Goldstein:
Estimating the Effect of Web-Based Homework. AIED 2013: 824-827 - [c5]Kim M. Kelly, Neil T. Heffernan, Cristina Heffernan, Susan R. Goldman, James Pellegrino, Deena Soffer Goldstein:
Estimating the Effect of Web-Based Homework. AIED Workshops 2013 - 2011
- [c4]Ravi Singh, Muhammad Saleem, Prabodha Pradhan, Cristina Heffernan, Neil T. Heffernan, Leena M. Razzaq, Matthew D. Dailey, Cristine O'Connor, Courtney Mulcahy:
Feedback during Web-Based Homework: The Role of Hints. AIED 2011: 328-336 - [c3]Mingyu Feng, Neil T. Heffernan, Zachary A. Pardos, Cristina Heffernan:
Comparing of Traditional Assessment with Dynamic Testing in a Tutoring System. EDM 2011: 295-300
2000 – 2009
- 2009
- [j1]Mingyu Feng, Neil T. Heffernan, Cristina Linquist-Heffernan, Murali Mani:
Using Mixed-Effects Modeling to Analyze Different Grain-Sized Skill Models in an Intelligent Tutoring System. IEEE Trans. Learn. Technol. 2(2): 79-92 (2009) - 2007
- [c2]Zachary A. Pardos, Mingyu Feng, Neil T. Heffernan, Cristina Linquist-Heffernan:
Analyzing Fine-Grained Skill Models Using Bayesian and Mixed Effects Methods. AIED 2007: 626-628 - [c1]Zachary A. Pardos, Neil T. Heffernan, Brigham S. Anderson, Cristina Linquist-Heffernan:
The Effect of Model Granularity on Student Performance Prediction Using Bayesian Networks. User Modeling 2007: 435-439
Coauthor Index
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