
    Design a function that identifies the top N most effective learning combinations by pairing theoretical assessment scores with practical application scores, where each combination represents a student's mastery of both knowledge and implementation. The function should analyze two lists - one containing theoretical test scores and another containing practical project scores - to determine which theory-practice pairs produce the highest combined impact on learning outcomes. Each learning combination must use exactly one score from the theoretical assessments and one from the practical assessments.
    

    
def large_product(nums1, nums2, N):
    """
    Design a function that identifies the top N most effective learning combinations by pairing theoretical assessment scores with practical application scores, where each combination represents a student's mastery of both knowledge and implementation. The function should analyze two lists - one containing theoretical test scores and another containing practical project scores - to determine which theory-practice pairs produce the highest combined impact on learning outcomes. Each learning combination must use exactly one score from the theoretical assessments and one from the practical assessments.
    

    """
def large_product(nums1, nums2, N):
    """
    Design a function that identifies the top N most effective learning combinations by pairing theoretical assessment scores with practical application scores, where each combination represents a student's mastery of both knowledge and implementation. The function should analyze two lists - one containing theoretical test scores and another containing practical project scores - to determine which theory-practice pairs produce the highest combined impact on learning outcomes. Each learning combination must use exactly one score from the theoretical assessments and one from the practical assessments.
    

    """
    result = sorted([x * y for x in nums1 for y in nums2], reverse=True)[:N]
    return result