
    Design an algorithm that determines how many potential student pairs can be formed from a list of learning module scores where the XOR of their performance levels results in an even number, indicating compatible learning paths. The input consists of integer scores representing each student's achievement level, and the goal is to maximize effective peer learning partnerships based on complementary skill patterns.
    

    
def find_even_pair(A):
    """
    Design an algorithm that determines how many potential student pairs can be formed from a list of learning module scores where the XOR of their performance levels results in an even number, indicating compatible learning paths. The input consists of integer scores representing each student's achievement level, and the goal is to maximize effective peer learning partnerships based on complementary skill patterns.
    

    """
def find_even_pair(A):
    """
    Design an algorithm that determines how many potential student pairs can be formed from a list of learning module scores where the XOR of their performance levels results in an even number, indicating compatible learning paths. The input consists of integer scores representing each student's achievement level, and the goal is to maximize effective peer learning partnerships based on complementary skill patterns.
    

    """
    count = 0
    for i in range(0, len(A)):
        for j in range(i + 1, len(A)):
            if (A[i] ^ A[j]) % 2 == 0:
                count += 1
    return count