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The article argues that while AI can quickly generate seemingly correct answers for students, bypassing the slow, cumulative learning process undermines deep understanding and long‑term growth, much like the early stage of an exponential function.
At the GET2023 Education Technology Conference, Zuoyebang’s chief scientist Song Yang detailed how AI, large language models, big data, and smart hardware are reshaping learning experiences across subjects, from math problem generation to interactive programming assistants, and outlined the company’s vision for AI‑driven education.
This article explores the strategic management and engineering practices required to build an effective AI research department, detailing organizational structures, performance metrics, cost-reduction strategies, and practical educational AI solutions that bridge theoretical algorithms with scalable industrial applications.
On April 15, Tsinghua University's Computer Science Department and TAL Education's Joint Research Center inaugurated Phase II of their partnership to advance intelligent education through AI-driven teaching environments, interactive mechanisms, knowledge‑graph construction, and personalized assessment technologies.
By leveraging tablet-based learning platforms, schools can collect rich usage data, which, when mined, reveals student habits, sentiment, and learning patterns, enabling educators to personalize instruction, improve curricula, and guide strategic decisions, while highlighting the need for data protection and dedicated research centers.
This article outlines a design for an educational platform that uses Polya's problem‑solving steps—understand, plan, execute, check—to provide timed hints, scoring based on time and hint usage, and competitive or cooperative modes that encourage autonomous learning and assessment.
This article explores how an intelligent knowledge‑learning guidance system could assess learners, select valuable content, apply brain‑based learning principles, and generate optimal, personalized study routes using AI techniques such as deep learning and data‑driven analytics.