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.

 


Definition

Learning Analytics, as defined for this project, involves the measurement, collection, analysis, and reporting of data about learners and their contexts with the goal of understanding and optimizing learning and the environments in which learning occurs. Learn more about learning analytics and how the analysis of course and program data can empower students, instructors, advisors, and faculties.

 


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, with the goal of empowering the UBC community with information that can support timely decisions and constructive interventions.

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

The first area of activity is 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 facilitate the second of these areas of activity. This high-level academic committee is charged with discussing and proposing institutional principles, policy, and practice with respect to learning data, and will advise the Learning Technology Leadership Team. Project governance also includes a Steering Committee and two working groups.