Learning Analytics

Innovation Pilot

The UBC Learning Analytics Project aims to take a data-driven approach to improving student learning. The project comprises three key strands: 1) community engagement through research pilots, 2) development of an ethics and policy framework around the use of data to improve learning, and 3) development of the technical infrastructure to deliver actionable insights from learning data on an enterprise level.

Find out more about the field of learning analytics and how the analysis of course and program data can empower students, instructors, advisors, and faculties at UBC.

 


About the Learning Analytics Project

Data-driven decision making is a well-articulated value at UBC. And as the university continues to embrace the shift towards an ecosystem of online learning tools and applications, there is a need to explore new ways of supporting instructors and students and facilitating data-informed decision making.

At a high level, the UBC Learning Analytics project comprises three inter-related areas of activity:

  1. Community engagement, primarily via the learning analytics research pilots and workshops
  2. Ethical and policy considerations
  3. Technical infrastructure and solution architecture

The Project’s community engagement activities are designed to contribute both to UBC’s understanding of the issues that instructors, students, and faculties would like to see learning analytics address and to inform the development of UBC’s overall learning analytics policy framework by providing real-world use cases.

The Learning Data Committee was established primarily to provide guidance on the second of area of activity–ethical and policy considerations–and will advise the Learning Technology Leadership Team. Project governance also includes a Steering Committee, which provides guidance on the project’s engagement activities and on technical infrastructure. Implementation efforts for each of the above areas are being carried out by the project’s two working groups.