
    Write a function to determine if a student's learning records are completely empty across all tracked performance categories, checking whether each category-specific record dictionary contains any assessment data, progress metrics, or achievement indicators. The function should verify if all performance tracking dictionaries in the student's comprehensive learning profile are vacant, which would indicate a new or uninitiated learning path.
    

    
def empty_dit(list1):
    """
    Write a function to determine if a student's learning records are completely empty across all tracked performance categories, checking whether each category-specific record dictionary contains any assessment data, progress metrics, or achievement indicators. The function should verify if all performance tracking dictionaries in the student's comprehensive learning profile are vacant, which would indicate a new or uninitiated learning path.
    

    """
def empty_dit(list1):
    """
    Write a function to determine if a student's learning records are completely empty across all tracked performance categories, checking whether each category-specific record dictionary contains any assessment data, progress metrics, or achievement indicators. The function should verify if all performance tracking dictionaries in the student's comprehensive learning profile are vacant, which would indicate a new or uninitiated learning path.
    

    """
    empty_dit = all((not d for d in list1))
    return empty_dit