Assessment
OTEAR supports universitywide teaching evaluation and assessment methods related to learning outcomes and continuous academic improvement, academic appointments and promotions, and creating new program assessment plans.
Assessment
OTEAR supports Rutgers’ commitment to continuous improvement in the assessment and attainment of student learning goals by facilitating the universitywide Assessment Councils and providing resources and options for consultations for faculty, instructors, and staff. By aligning assessment strategies with student learning goals that reflect the department and university’s mission, instructors can measure the level of student comprehension of key aspects of the curriculum. This alignment also serves as a reflective tool, shedding light on the effectiveness of one’s teaching methods. See our Guidelines for Departments Creating Assessment Plans to learn more.
More information about the university’s assessment efforts is available on the University Academic Affairs Continuous Improvement webpage.
New Program Assessment
As part of the review process for academic units pursuing a new degree program, OTEAR must review and approve the assessment plans for student learning outcomes (SLOs) prior to final submission to the Office of the Executive Vice President for Academic Affairs (EVPAA). Proposing units are encouraged to reach out to us by email at otear@rutgers.edu during the 30-day comment period.
Learning Analytics
The purpose of Learning Analytics is to support and improve the learning of students. This includes evaluating, diagnosing, and providing appropriate scaffolds to help students reach their learning goals. Ensuring students become reflective, self-motivated, and lifelong learners is another important aspect of Learning Analytics.
Upcoming Workshops
Visit Workshops and Training to browse a complete selection of our available workshops.
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Introduction to Learning Analytics January Cohort
January 3-17, 2025
The Introduction to Learning Analytics for Instructors is an asynchronous learning opportunity to support instructors in starting to build their capacity around learning analytics. Topics include defining learning analytics, ethical considerations, limitations, the impact of course design, and an introduction to New Analytics in Canvas. A digital badge can be earned through the completion of all module activities and assignments. The program is open to all Rutgers faculty and instructional staff at no cost.
Some activities are designed to provide opportunities for discussion with colleagues, and therefore, the module will be run in two-week cohorts, once per month.
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Introduction to Learning Analytics February Cohort
February 6-20, 2025
The Introduction to Learning Analytics for Instructors is an asynchronous learning opportunity to support instructors in starting to build their capacity around learning analytics. Topics include defining learning analytics, ethical considerations, limitations, the impact of course design, and an introduction to New Analytics in Canvas. A digital badge can be earned through the completion of all module activities and assignments. The program is open to all Rutgers faculty and instructional staff at no cost.
Some activities are designed to provide opportunities for discussion with colleagues, and therefore, the module will be run in two-week cohorts, once per month.
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Introduction to Learning Analytics April Cohort
April 7-21, 2025
The Introduction to Learning Analytics for Instructors is an asynchronous learning opportunity to support instructors in starting to build their capacity around learning analytics. Topics include defining learning analytics, ethical considerations, limitations, the impact of course design, and an introduction to New Analytics in Canvas. A digital badge can be earned through the completion of all module activities and assignments. The program is open to all Rutgers faculty and instructional staff at no cost.
Some activities are designed to provide opportunities for discussion with colleagues, and therefore, the module will be run in two-week cohorts, once per month.