What did you learn from the data exploration today?
A lot. It was really helpful to think about (perhaps obvious) but good ways to organize my data. Type up entry and exit questionaires from orientation, code it looking for categories. Seems obvious, but somehow wasn't thinking clearly about it.
Probably see things about technology, teaching, learning, specific connections to what I talked about.
Also, thought a lot about what mentors know about teaching and learning. Might go back at the end and think about who were my "best" mentors, however I determine that (a whole other big questions) and think about what were some of their habits of mind originally? What did they already understand about teaching and learning.
How does this connect to your area of interest for this year?
Think that's pretty clear.
What is the current draft of your questions?
What habits of mind help mentors to engage students in learning?
Other points to record, thoughts right now
Well, this question seems really broad right now. I'm just trying to make sense of where mentors are in the learning process.
I'll need to start watching some sessions and looking for evidence of strong mentoring. How do I measure that? How is good mentoring related to student learning?
What are the metrics I can use to show me that mentors are learning and developing as educators?
What is good teaching? How do you determine what that is?
observation
academic work
interviews
student responses about what they learned
Rubric of teacher effectiveness "PLAYDOH"
Create a rubric of what I determine good mentoring would look like.
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