
    Design a function that determines the minimum number of learning module slots needed in an adaptive learning system, where slots must be organized in power-of-2 blocks to enable balanced binary progression paths, given the actual number of required learning modules. The system needs to accommodate all required modules while maintaining the power-of-2 structure for optimal learning path organization.
    

    
def next_power_of_2(n):
    """
    Design a function that determines the minimum number of learning module slots needed in an adaptive learning system, where slots must be organized in power-of-2 blocks to enable balanced binary progression paths, given the actual number of required learning modules. The system needs to accommodate all required modules while maintaining the power-of-2 structure for optimal learning path organization.
    

    """
def next_power_of_2(n):
    """
    Design a function that determines the minimum number of learning module slots needed in an adaptive learning system, where slots must be organized in power-of-2 blocks to enable balanced binary progression paths, given the actual number of required learning modules. The system needs to accommodate all required modules while maintaining the power-of-2 structure for optimal learning path organization.
    

    """
    if n and (not n & n - 1):
        return n
    count = 0
    while n != 0:
        n >>= 1
        count += 1
    return 1 << count