Thesis Title: A Cross-Cultural Comparison of Help-Seeking Behavior Among Students using an Intelligent Tutoring System for Math
Thesis Abstract: Help-seeking is said to be an influential factor in student learning. There are effective and ineffective help-seeking behaviors however. An ineffective help-seeking behavior is using help as a means of avoiding to think about the problem, an action also known as “gaming the system”. Effective help-seeking entails using help as a strategy to learn the problem, which often includes self-explanation. In this paper, Educational Data Mining techniques will be used in order to analyze log files and create a model of students’ help-seeking behavior in their interaction with an Intelligent Tutoring System for Math. Models will be generated from datasets from four countries – USA, Philippines, Costa Rica, and Mexico. The models will be compared to highlight possible differences, and tested for generalizability.
Member:
Jose Carlo A. Soriano
