A comprehensive evaluation of domestic large language models on China's Gaokao shows iFlytek Spark X2 tying for top physics scores and leading in history, with its advantage stemming from balanced language understanding, rigorous step‑by‑step reasoning, and a decade‑long education data pipeline.
The article analyzes four post‑exam security threats—platform data leaks, phishing attacks, fake hacker‑grade‑change scams, and privacy‑risk social‑media posts—and provides concrete steps for students and parents to protect personal information.
Harvard economists Ruixue Jia and Hongbin Li argue that China’s Gaokao functions as a centralized hierarchical tournament, where massive family investment, steep reward gaps, and a prisoner's‑dilemma‑style over‑investment create both social mobility opportunities and substantial collective costs.
The article examines the feasibility of adding programming to China's college entrance exam, weighing benefits such as fostering computational thinking against challenges like teacher readiness, curriculum volatility, and potential widening of educational inequality.
The author conducts a transparent, objective assessment of several large language models on the 2025 Chinese national math exam, converting all questions to LaTeX, applying strict Gaokao scoring rules, and revealing each model's strengths and weaknesses across single‑choice, multiple‑choice, and fill‑in‑the‑blank items.
The guide analyzes how three waves of technological revolutions reshape the value of university majors, presents a two‑dimensional value map, ranks S‑, A‑, B‑ and C‑tier professions with concrete salary and school data, and offers a three‑dimensional decision framework plus a four‑year capability‑building plan for 2025 high‑school graduates.
The article evaluates four large language models—DeepSeek, Doubao, OpenAI o3, Gemini 2.5 Pro Think, and Claude Sonnet 4—by prompting them to forecast 2025 Gaokao essay topics, analyses their outputs, compares trends across national and regional exams, and discusses how future results will reveal the most reliable predictor.
A recent evaluation had six leading large‑language‑model products (GPT‑4o, GLM‑4, Wenxin 4.0, Doubao, Baichuan 4, and Qwen‑2.5) answer the first 14 objective questions of the new Gaokao mathematics I paper, revealing that only GLM‑4 surpassed the 60% passing threshold while the others performed far below expectations.
This case study details how Baidu Search transformed its Gaokao services by introducing a full‑process personalized companion module, an intuitive volunteer‑selection tool, and an efficient information architecture, resulting in higher user engagement, improved satisfaction, and notable growth in the 2023 exam season.
This article reviews Baidu's three‑year evolution of its Gaokao promotion—starting with youthful visual branding in 2021, moving to intelligent, AI‑enhanced experiences in 2022, and finally adopting collaborative efficiency and AI‑generated assets in 2023—to illustrate how product design, branding, and technology were aligned with changing market demands.
This article uses Python to scrape and analyze over 2,900 Chinese university and major data points, revealing trends in Gaokao participation, provincial enrollment, university types, popularity rankings, and public curiosity about majors, all illustrated with charts and code examples.
Using Python, the author analyzes Shandong’s 2020 Gaokao simulation scores, visualizing distribution patterns, pass rates, subject selection ratios, top‑student combinations, and double‑first‑class university admission thresholds, providing data‑driven insights for students and educators.
The article argues that predictability—evident in Baidu’s Gaokao essay forecasts and formulaic Hollywood blockbusters—arises when markets favor safe, widely appealing content, making simple systems like baseball easy to predict while complex systems with feedback loops resist accurate forecasting despite apparent creativity.
