Community Engagement

At a high level, the Learning Analytics project comprises three inter-related areas of activity: 1) community engagement via research pilots, 2) ethical and policy considerations, and 3) technical infrastructure and solution architecture. The first of these is outlined in greater detail below, including details about the call for topics and areas for exploration.


Engagement Strategy

The project seeks to improve teaching and learning at UBC by providing actionable information to a variety of stakeholders. Engaging with faculty members at all levels has several goals, including to:

  • Empower our faculty with analytics around current challenges and dilemmas that they have.
  • Identify key questions that can be answered using analytics. These questions should have broad relevance across topics and disciplines.
  • Evaluate approaches for interaction with information. What information is actionable? How should it be presented?
  • Identify relevant data, its sources, and interaction between different data types.
  • Facilitate a community of faculty engaged in the scholarly activity of understanding collection of data, suggesting new sources or models of data, and performing student learning research with data.

Towards these goals, we put forward a call for questions, from which analytics projects will be selected to receive support in terms of data preparation, analysis, and presentation.


Call for Questions

We are pleased to issue this call for topics and areas for exploration, for both individual and collaborative scholarship of teaching and learning projects whose goals are to make use of available data about courses and learners to improve teaching and learning at UBC. This call is addressed to all full-time UBC faculty.

  • What questions do you have about your students’ behaviours, engagement and learning that, through appropriate interrogation of the relevant data, may lead to actionable insights and interventions?
  • What would you like to know about your learners that would help you improve your course design or teaching?
  • What kind of data would help you understand how your students are engaging with each other or with learning materials?
  • Do you have burning questions about the pathways your majors students take through different courses in your curriculum
  • Are you interested to learn more about how certain population engage and succeed in your courses and programs?
  • Does data exist that would let you spot student challenges with concepts in your course, and intervene faster?
  • How can you identify individual students who are at risk of dropping out?

We invite your proposals to dig more deeply into such teaching and learning challenges and questions making use of available data. Proposals should focus on explorations in courses taught by the project lead, or courses taught in that individual’s department, program or school. Collaborative proposals are encouraged. Multiple proposals from the same department may be funded as long as the questions being asked are substantially different.

Support offered for selected proposals

Successful applicants will receive support with the following aspects of their projects:

  • Fine-tuning the research question, operationalizing the relevant variables
  • Identifying relevant data and obtaining access to it
  • Identifying relevant analytic approaches in the literature
  • Data wrangling and analysis
  • Creating visualizations and reports
  • Identifying implications and lessons learned

Criteria for selecting proposals

Project will be selected based on the following criteria:

  • Potential benefits to students
  • Potential impact beyond the initial project
  • Feasibility in terms of data availability and complexity
  • Balance across the chosen portfolio of projects