Evaluating Student Models - Adaeze Nwaigwe (Proceedings of the Workshops held at Educational Data Mining 2014, co-located with 7th International Conference on Educational Data Mining (EDM 2014), London, United Kingdom, July 4-7, 2014, 2014)

The Simple Location Heuristic is Better at Predicting Students' Changes in Error Rate Over Time Compared to the Simple Temporal Heuristic - Adaeze Nwaigwe; Kenneth R. Koedinger (Proceedings of the 4th International Conference on Educational Data Mining, Eindhoven, The Netherlands, July 6-8, 2011, 2011)

Exploring Alternative Methods for Error Attribution in Learning Curves Analysis in Intelligent Tutoring Systems - Adaeze Nwaigwe; Kenneth R. Koedinger; Kurt VanLehn; Robert G. M. Hausmann; Anders Weinstein (Artificial Intelligence in Education, Building Technology Rich Learning Contexts That Work, Proceedings of the 13th International Conference on Artificial Intelligence in Education, AIED 2007, July 9-13, 2007, Los Angeles, California, USA, 2007)

What's in a Step? Toward General, Abstract Representations of Tutoring System Log Data - Kurt VanLehn; Kenneth R. Koedinger; Alida Skogsholm; Adaeze Nwaigwe; Robert G. M. Hausmann; Anders Weinstein; Benjamin Billings (User Modeling 2007, 11th International Conference, UM 2007, Corfu, Greece, June 25-29, 2007, Proceedings, 2007)