
    Design a function for an adaptive learning platform that determines the next achievement milestone for a student by finding the smallest perfect square score above their current performance level. This score-setting mechanism helps maintain an optimal challenge level by ensuring students progress through incrementally higher but mathematically structured difficulty targets.
    

    
import math

def next_Perfect_Square(N):
    """
    Design a function for an adaptive learning platform that determines the next achievement milestone for a student by finding the smallest perfect square score above their current performance level. This score-setting mechanism helps maintain an optimal challenge level by ensuring students progress through incrementally higher but mathematically structured difficulty targets.
    

    """
import math

def next_Perfect_Square(N):
    """
    Design a function for an adaptive learning platform that determines the next achievement milestone for a student by finding the smallest perfect square score above their current performance level. This score-setting mechanism helps maintain an optimal challenge level by ensuring students progress through incrementally higher but mathematically structured difficulty targets.
    

    """
    nextN = math.floor(math.sqrt(N)) + 1
    return nextN * nextN