Reactive AI feedback Improves task performance over time

What is the best way to give feedback to improve task performance? Informing someone of their success after the fact, which they can often plainly see, is effective for simple tasks. However, for complex, ecologically-based tasks with multiple subskills such as piloting a helicopter, remotely operating a robot arm, or playing Tetris, this type of feedback may be less effective. Some research suggests that certain types of feedback given during task performance maybe preferred for complex tasks rather than feedback given after the fact. This question was addressed by this pilot study which compared performance across sessions in the video game Tetris. Novice Tetris players were provided Reinforcement-based feedback, Instructive feedback, or a combination of the two. Results suggest that Instructive feedback, followed by combining the two, was most effective for improving performance over time.