Can professors access your class schedule?

In general, full time faculty have access to that data because they typically advise students, and thus have a legitimate need to see that data. In the US, student privacy is covered under a Federal law called FERPA.

How accurate is Rate My Professors?

Most students say that they only trust the opinions on RateMyProfessor that are consistent. Stewart said that a professor with more reviews, that seem consistent, are usually more reliable than a professor with only a few reviews. Dr.

Can my professors see my grades in other classes?

But individual faculty cannot see grades except for classes they are teaching, and it’s considered unethical to (say) determine what grades your student got in other classes.

Can teachers track you on canvas?

Canvas will think you are active, and it won’t see any newly opened tabs. Instructors can see certain activity such as: time started/stopped an exam or quiz, total time spent on the exam/quiz, date/time stamps on assignments, time spent in the course and last login.

Can I remove my name from Rate My professor?

Don’t be fooled by rumors of easy escape routes, instructors. You can’t get out of Rate My Professors, at least not easily. It once allowed users to rate the “hotness” of their instructors, but that controversial feature was removed last year.

Can a professor delete rate my professor?

Unfortunately we do not remove ratings just because someone may disagree with it. As the professor, you also have the ability to reply to your reviews and add any clarifications you see fit. To post these notes you will need to register for a Professor account.

Why does rate my professor remove ratings?

All comments submitted are reviewed by our online moderation team. If they find that the content violates our site guidelines, they will remove the comment.

Is Rate My Professor bias?

But because posting ratings on Rate My Professor is voluntary, the data feeding into each professor’s rating is skewed by selection bias. Selection bias is a statistical term that encompasses a variety of sampling errors that ultimately lead to a biased sample.