Passage Summary: People take criticism better from other people than from computers. Since you have to take criticism well to learn from it, humans are better teachers than software.

Conclusion: Students are more likely to learn from human feedback than from computer-generated feedback.

Reasoning: Learning from criticism requires accepting it, and acceptance requires a positive response, which occurs more frequently with human critics than with computer programs.

Analysis: The argument builds a logical chain: positive response leads to acceptance, which leads to learning. However, it assumes that the likelihood of learning is directly tied to this specific chain without other interfering factors. We need to find a bridge that ensures if you are more likely to respond positively, you are actually more likely to learn in the end. Look for an answer that confirms computer criticism doesn't have some other hidden advantage—like precision or speed—that might outweigh the 'human touch' factor.