Recently, in the innovative assessment of Fudan's data mining class, students set questions to test three AIs. The more mistakes the AI made, the higher the student's score. Only four students gave the AI a zero score for answering questions, and Claude, the strongest, was not stumped at all. The teaching professor said that traditional assessment is not suitable for the AI era, and will continue to implement this model in the future, focusing on cultivating students' high-level abilities such as identification and creativity.
