EduTrack
An educational platform for tracking, analyzing, and gamifying classes, with academic support from CEDIS, grounded in a semester-start diagnostic instrument validated across undergraduate courses.
Project Description
EduTrack is an educational platform for tracking, analyzing, and gamifying classes. The product was developed by Daniel Rodrigues da Rocha, Davi Rodrigues da Rocha, and Mylena Angélica Silva Farias, with the involvement of Prof. Sergio Freitas , as part of their undergraduate research (scientific initiation) at CEDIS.
The platform is grounded in a semester-start diagnostic instrument, evaluated across three undergraduate courses (Human-Computer Interaction, Compilers, and Introduction to Gamification, with 245 valid responses and good internal consistency, α = 0.880), enabling the personalization of motivational and gamification strategies based on the class’s initial profile.
Project Objectives
The main objectives of the project are:
- to help instructors track and analyze the motivational profile and performance of their classes throughout the semester;
- to provide semester-start diagnostic indicators on prior knowledge, autonomy, expectations, and student motivation;
- to support personalization and gamification decisions with structured evidence, rather than late reaction to grades or dropout; and
- to serve as an experimental basis for teaching, research, and outreach initiatives supported by CEDIS in learning analytics and gamification.
Resources and Features
EduTrack applies a diagnostic questionnaire that combines course-specific prior-knowledge items with common blocks on instructional perceptions, expected challenge, autonomy, performance expectations, social connection, curiosity, and course motivation, producing interpretable indicators of each class’s initial profile.
The platform organizes these indicators to support ongoing tracking and gamification of classes throughout the semester, connecting to EduTrack AI to incorporate academic performance prediction based on the same indicators.
Academic Link
- Daniel Rodrigues da Rocha (product development as part of undergraduate research)
- Davi Rodrigues da Rocha (product development as part of undergraduate research)
- Mylena Angélica Silva Farias (product development as part of undergraduate research)
- Prof. Sergio Freitas (academic supervision)
Related Scientific Output
The diagnostic instrument underpinning EduTrack was described in a paper accepted at the XXXVII Brazilian Symposium on Computers in Education (SBIE 2026), authored by Prof. Sergio Freitas , Daniel Rodrigues da Rocha, Davi Rodrigues da Rocha, and Mylena Angélica Silva Farias.
Access
The system is available at edutrack.cedis.tec.br.