When conducting a one way anove, the dependent viariable is your responding variable. For example, if you are testing the effects of different drugs on the growth of cancer cells, your dependent variable would be "growth of cells", and your factor would be "different drugs".
There are two types of variables - independent and dependent.
Independent Variable (IV) that stands alone and isn't changed by the other variables you are trying to measure. For example, someone's age might be an IV. Other factors (such as what they wear, how much they spent money, how many selfies they use to take) aren't going to change a person's age. In fact, when you are looking for some kind of relationship between variables you are trying to see if the IV causes some kind of change in the other variables, or dependent variables (DV).
On the other hand, a DV is something that depends on other factors. For example, your CGPA could be a DV because it could change depending on several factors such as how much you studied, how much sleep you got the night before you took the test etc. Usually when you are looking for a relationship between two things you are trying to find out what makes the DV change the way it does.
Few example:
IV: Participation in intensive study program. DV: Graduation rates.
IV: knowledge of position, attitude toward policies, and ability to handle conflicts. DV: commitment to position (continuing in position for 2 years or not continuing).
So, IV is the presumed cause, whereas the DV is the presumed effect.
Now, hope you may understand what is your DV for ANOVA test.