Outstanding Graduate Teaching Awards - 2013
Guidelines
The Outstanding Graduate Teaching Awards were established in 1999 to recognize (pre- doctoral) teaching assistants who demonstrate excellence in the classroom or laboratory. Teaching assistants play a large role in the UConn undergraduate program and provide some of the best interactions in undergraduate students’ academic life. These awards are one way in which the University of Connecticut expresses its acknowledgment to this very important component of the undergraduate education programs. The awards will be presented at the Institute's Instructional Excellence Recognition Dinner on April 18, 2013.
The value of each Outstanding Graduate Teaching Award will be $500 to be used at the recipients discretion with the single restriction that it be used to enhance their instructional development or program.
Criteria
The criteria used to determine the Outstanding Graduate Teaching
Awards should include evidence that the TA:
- Demonstrates effective instructional skills
- Possesses excellent interpersonal skills
- Provides practical feedback
- Contributes to the development of the instructional program
Evidence of the above might include but should not be limited
to the following: :
- Statement of teaching philosophy (specific more than abstract
- 1 page maximum)
- Letters of reference and other commentary from students
and faculty
- Indication of attendance at teaching workshops and programs
- Evidence of growth, development, and innovation in teaching
and learning activities
- Evidence of concern for students in the creation of excellent
learning materials and support activities
- Teaching ratings, formative or summative
Nomination Procedures
Nominations may be made by faculty or senior administrators only.
Please convert your nomination form and all supporting documents to PDF before emailing to stacey.valliere@uconn.edu. Deadline for submissions is January 25, 2013.
For further information or questions, please contact Stacey Valliere at the Institute for Teaching and Learning, CUE Building, Room 333C (860-486-2686)
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