Ateneo Laboratory for the Learning Sciences

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

Thesis Abstract:
Novice programmers tend to commit errors as they learn to program.  Among the time-consuming errors are non-literal errors – errors that are incorrectly addressed by compiler error messages.  In this light, the intelligent tutoring system for novice programmers has been developed to aid novice programmers in detecting non-literal errors and correcting these accordingly.  With the target audience as novice programmers in mind, we plan to improve the interfacing of the intelligent tutoring system with the users by simplifying the graphical user interface and providing a deeper analysis of the log collected by the server.  We also plan to integrate the system to the IDE BlueJ as a plug-in.  We believe that this will make debugging non-literal errors for novice programmers an easier experience.
Members:
Carlo Martinez
Joyce Rada
Javelin Magtalas