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Courses & Programs

The Courses & Programs data domain encompasses all data generated through the design, delivery, and evaluation of academic programming at the University of Toronto. It covers data about what is taught and how it is structured, how programs and courses are delivered and scheduled, how students interact with learning systems, and how the quality and effectiveness of teaching and learning are assessed. The activities generating these data pertain to undergraduate, graduate or non-credit programs and/or courses.

Data Trustee

Susan McCahan | Vice‑Provost, Teaching & Learning

Nicholas Rule | Vice Provost, Academic Programs

Sub-domains (7)

Data on student academic advising.

Data Steward(s): Director, Teaching & Learning

Main Source System(s): Salesforce (Student Advising Service)

Data that reflects the opinions and attitudes of students about the teaching and learning process, such as satisfaction, motivation, confidence, and expectations.

Data Steward(s): Executive Director, Centre for Teaching Support & Innovation

Main Source System(s): Blue platform by Explorance

Course-related data, specifically focusing on syllabi, course marking schemes, final exams, course & exam grades, and, in some cases, deferred exams.

Data Steward(s): Director, Teaching & Learning

Main Source System(s): Course Information System (CIS); Quercus

Data generated by experiential learning placements that count toward program completion, such as practicums, field experience, and academic internships.

Data Steward(s): Director, Teaching & Learning

Main Source System(s): Partnered Experiential Learning Portal

Inventory of approved courses & programs, including grading scales, course descriptions, admission and completion requirements; provisional term grades, subject to the University Assessment and Grading Practices Policy.

Data Steward(s): Director, Academic Programs, Planning, and Quality Assurance

Main Source System(s): Curriculum Manager (CM); eMarks

Data that reflects the use of shared academic space for course-related, program-related, and non-academic use. This data can include course timetables, space utilization, final exam schedules, accommodated test & exam data, and more.

Data Steward(s): Director, Learning Space Management

Main Source System(s): Infosilem (Academic, Exams, Campus)

Data that captures the behaviour and engagement of students with digital learning systems, such as online courses and learning management systems. This data can include login frequency, time spent on tasks, click patterns, and navigation paths.

Data Steward(s): Director, Teaching & Learning

Main Source System(s): Quercus

Typical Data Users

  • Academic administrators
  • CTSI
  • Assessment & evaluation staffs
  • Schedulers
  • Institutional Research Analysts

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