Deliberate Practice for Deaf Interpreters
[Image Description: The image has four clips from videos. On the left, Rachel Herring, a white woman with short brown hair wearing wire-rimmed glasses and a black sweater with buttons down the gestures with her hands while speaking; JV Featherstone, a white man with short brown hair wearing a red and grey argyle sweater signs in front of a tan wall; Peter C. Brown, a white man with white hair and mustache and beard wearing a checked blue and white button down shirt with a blue blazer, sits in front of a shelf full of psychology books; Eileen Forestal, a white woman with short brown hair wearing a black shirt signs in front of a grey backdrop.]
2021 GTC Journey Tracks for Deaf Interpreters
The January offering for the GTC Journey Track for Deaf interpreters is a course focused on deliberate practice for deaf interpreters.
This online workshop consists of four modules with a series of interactive activities, readings and videos to provide information, and discussions/assignments to apply the learning practices. The course begins looking at deliberate practice and how important it is for deaf interpreters. Information and activities about deliberate practice is mixed in with information from Peter Brown, author of Make it Stick: The Science of Successful Learning. Participants will be asked to engage with the ideas by creating summaries in alternate languages about information.
Successful participants will be able to:
- list four big ideas about the science of successful learning;
- describe the difference between unfocused and deliberate practice;
- practice describing ideas related to successful learning and deliberate practice in both ASL and English,
- identify at least 5 activities for future professional development.
Certificate of Completion & CEUs
Join the Canvas Course
- If you already have a free Canvas account, click this link: https://canvas.instructure.com/enroll/TMRFX3
- If you need a free Canvas account, click this link: https://canvas.instructure.com/register and use the following join code: TMRFX3