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Empowering education through Data Science

Data Science Lab for Teaching Innovation (DSLAB-TI) is a teaching innovation group whose main mission is to promote the use of Data Science techniques and methods to enhance educational practices. Using data science methodologies, student data is collected through online questionnaires to build machine learning models capable of accurately predicting students’ future evaluations based on their partial results. These models help identify specific student profiles, enabling targeted actions to improve both teaching and learning processes. The results and models are presented through customized dashboards tailored to the needs of the end user. Models will be deployed in production by both instructors and students in courses following those used for training.

The proposed innovation actions are fully replicable, as the techniques and tools developed can be applied across all undergraduate and graduate courses offered at URJC. Instructors would only need to design course-specific questionnaires and access results and predictions via dedicated dashboards. These actions require a broad timeframe (at least two academic years) for full implementation.

Strategic objectives

  • Promote continuous improvement of teaching and learning processes.
  • Integrate active methodologies that foster skill acquisition and student motivation.
  • Encourage the use of the Virtual Classroom by both students and faculty.
  • Assess, support, and disseminate innovative educational practices to build a catalog of best practices that serve as a quality benchmark for faculty members.

Key action lines

  • Optimize student performance and reduce academic failure and dropout rates.
  • Implement active and predictive methodologies in teaching.
  • Promote the use of digital technologies and the Virtual Classroom.
  • Develop assessment models based on data analytics.
  • Analyze and improve academic outcomes in blended and distance learning programs through innovative methodologies.
  • Provide mentoring and personalized support to students.
  • Promote open education actions: creation, use, and implementation of open resources and materials, adoption of open educational practices, etc.
  • Launch educational innovation initiatives aimed at inclusion and gender equality.