Ateneo Laboratory for the Learning Sciences

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

Title of Thesis (Tentative): Educational Data Mining (EDM) Workbench: Processing Data shop Log Files through Data Definition and Display
Abstract of Thesis: In this paper, the researcher will focus on the initial stage of the development ofthe Educational Data Mining (EDM) Workbench. The EDM workbenchwill address the labeling bottleneck experienced by researchers whouses educational software that records student’s behavior in a log file.The study’s goal it to know what features of the EDM workbench shouldbe included and how does the researcher develop it. The paper alsoaims to know how these functionalities will assist the EDM researchers.The rapid prototyping methodology will be used to develop thesoftware. A usability test will be implemented to the prototype’scorrectness of the features. The result of the study will show thefeatures and how it is made. The assistance given to the EDMcommunity by the initial phase of the EDM Workbench will also bestated.
Members:
Alejandra Jayme
Adrian Pajarillo
William Leonor

Thesis Abstract: The main purpose of this paper is to determine the effects of frustration on learning and mastery in video games. For this study, the target population is high school students. Using an frustration-inducing game as a testbed, we will study the relationship between in-game events, frustration and learning and master; the researchers will try to determine the correlation between them. The following data gathering methods will be used to conduct the experiment: 1. biometrics, 2. video and audio recording, 3. log file analysis and, 4. survey results.
Members:
Neil Adrian B. Abendan
Joyce Villanueva
Kim Flores

Thesis Title: Detection of Frustration in Games
Abstract: To Follow
Members
Neil Abendan
Joyce Villanueva
Kim Flores

Thesis Title: Detecting Driver Anxiety
Abstract: To follow
Member:
Francis Jan P. Macam