Group 1 - The core viewpoint of the article discusses the impact of AI on the Chinese college entrance examination (Gaokao), highlighting both its potential benefits and limitations in predicting exam questions and assisting students in their preparation [2][3][15] - AI prediction models analyze historical exam questions, trends, and educational policies to generate potential exam papers, but the effectiveness of these predictions is questioned due to the high level of confidentiality and scientific rigor in exam question design [3][4] - Despite the limitations of AI in accurately predicting specific exam questions, it plays a significant role in enhancing the overall preparation process for students, including time management and knowledge mastery [4][7] Group 2 - AI tools are being utilized to create personalized study plans, helping students allocate their study time effectively and manage their learning processes [4][7] - AI monitoring systems in exam settings improve fairness and efficiency by detecting potential cheating behaviors and ensuring a more objective grading process through automated scoring systems [7][8] - AI applications extend to assisting students and parents in filling out college applications by providing data-driven recommendations based on historical admission trends, thus reducing the information gap in the decision-making process [9][12] Group 3 - The emergence of AI in college application processes has made it easier for students to navigate their choices, but there are concerns about over-reliance on AI recommendations, which may overshadow personal preferences and aspirations [13][14] - The article emphasizes the importance of balancing AI's capabilities with individual values and desires, suggesting that while AI can provide valuable insights, it should not dictate life choices [14][15] - Ultimately, the integration of AI in the Gaokao process represents a technological advancement, but it also raises critical questions about the role of data and algorithms in shaping personal futures [15]