Standard deviation is a measure of dispersion within your data set whereas standard error is considered the level of error (dispersion) of your data from a population mean. Bigger sample sizes are likely to have smaller error - this makes sense if you consider the formula for standard error, which uses square root of N for the denominator...

I think I am right about this (I hope so, and hope that helps!)