As UBC continues to embrace the shift towards an ecosystem of online learning tools and applications, there’s an increasing need to explore new ways of supporting students and faculty. The Learning Analytics Project takes a data-driven approach to improving learning and the student experience by investigating how data and learning analytics tools can support students, instructors, and advisors in enhancing teaching and learning.
About the Project
The Learning Analytics Project is focused on three inter-related areas of activity: 1) engaging the UBC community, 2) exploring the ethical issues regarding the use of learning data, and 3) iteratively developing the technical and solution architecture needed at UBC.
The Learning Analytics Project aims to empower students, faculty members, and departments with analytics to support teaching, learning, student success, and program planning. The project also seeks to facilitate the development of a community of faculty members who are actively engaged in learning analytics. Opportunities to get involved with learning analytics include tool pilots, workshops, hackathons, and student consultations.
Ethics and policy
Part of the Learning Analytics Project, the Learning Data Committee is exploring the ethical and privacy issues regarding the use of student data to support student learning and developing and prosing principles, policies, and procedures regarding access and use to student data.
For more information about how students’ privacy and learning data are protected at UBC, please see our Guide to Learning Data, Analytics + Privacy for students or instructors and check out the Learning Analytics at UBC: Purpose and Principles.
Technical and Solutions Architecture
A key component of the Learning Analytics Project is focused on supporting the project’s tool pilots and delivering the technical infrastructure and solution architecture needed to support UBC’s learning analytics efforts.