From Scores to Careers: Understanding AI’s Role in Supporting Collaborative Family Decision-Making in Chinese College Applications

要旨

This study investigates how 18-year-old students, parents, and experts in China utilize artificial intelligence (AI) tools to support decision-making in college applications during college entrance exam- a highly competitive, score-driven, annual national exam. Through 32 interviews, we examine the use of Quark GaoKao, an AI tool that generates college application lists and acceptance probabilities based on exam scores, historical data, preferred locations, etc. Our findings show that AI tools are predominantly used by parents with limited involvement from students, and often focus on immediate exam results, failing to address long-term career goals. We also identify challenges such as misleading AI recommendations, and irresponsible use of AI by third-party consultant agencies. Finally, we offer design insights to better support multi-stakeholders' decision-making in families, especially in the Chinese context, and discuss how emerging AI tools create barriers for families with fewer resources.

著者
Si Chen
University of Illinois at Urbana Champaign , Champaign, Illinois, United States
Jingyi Xie
Pennsylvania State University, University Park, Pennsylvania, United States
Ge Wang
Stanford University, Stanford, California, United States
Haizhou Wang
Pennsylvania State University, University Park, Pennsylvania, United States
Haocong Cheng
University of Illinois Urbana-Champaign, Champaign, Illinois, United States
Yun Huang
University of Illinois at Urbana-Champaign, Champaign, Illinois, United States
DOI

10.1145/3706598.3713341

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713341

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Decision Making with AI

Annex Hall F203
7 件の発表
2025-05-01 18:00:00
2025-05-01 19:30:00
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