TRU Instructional Innovation Grant (TIIG)

Proposals are invited from University Instructors, tenure-track, and tenured faculty who are interested in enhancing and building the classroom experience by adopting or experimenting with instructional approaches that challenge, support, and encourage students.

The support provided by this grant is focused on supporting students as partners in roles such as co-researchers, student project managers, or as research assistants. All grant awardees will also be assigned a CELT Coordinator to help manage the scope and outcomes of the project.

Successful applicants may receive up to $5,000. We anticipate offering 5 awards each year.

Deadline: (Extended!) February 28, 2022

Results: Awards will be announced by Mid-March. Projects begin on April 1 and end March 30 of the following year. Final reports will be expected no later than May 30th of the year project end.

Duration: 1 year (with interim report at 6 months and final at 12 months); Projects needing time beyond 1 year can apply for an extension for the project (on a case-by-case approval basis), in writing to CELT, at least 6 weeks before the end of the project (March 30th); however, funds should be spent in the one-year timeframe for which the grant was awarded.

Criteria & Sample Application Form 
(application form is sample only)

Apply Here 

 

Grant Recipients

2022

Natasha Ramroop Singh (Science) Introduction to Genetics
Kathie McKinnon (EDSW), Jamie Drozda (OL), Marie Bartlett (OL), Brittany Brennan TRU WordPress in your course: Co-create innovative learning experiences with your students
Naowarat Cheeptham (Science), Morgan Whitehouse (SD73), Natasha Ramroop Singh (Science), Robert Wielgoz (EDSW), Lilly Dalley (Kamloops) Actions for science education (K-16) through a STEAM ecosystem: A symbiosis between TRU Science Undergraduates and Cariboo Mainline Regional Science Fair
Jay Goddard, Saskia Stinson, Sheryl-Lynn Lewis (EDSW) Advocacy: Inclusive Curriculum
Mateus Arantes Fandino (Science) Introduction of computational methods to intermediate mechanics with python
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