（原标题：教育部：工程教育占到我国高等教育人才培养规模的1/3） 经济观察网 据教育部网站，12月10日，教育部召开新闻发布会，介绍卓越工程师培养改革情况，解读 《卓越工程师教育认证标准》。 会上，教育部学位管理与研究生教育司司长吴刚介绍，工程教育占到我国高等教育人才培养规模的 1/3。卓越工程师培养改革作为深化科教融汇、产教融合的战略支点，是推进学科专业设置调整优化的 重要引擎。 三是树立新的评价标准。教育评价事关教育发展方向。卓越工程师培养改革通过"以实践成果替代传统 学位论文"这一制度性突破，树立了产教融合导向的新评价标准。依据《中华人民共和国学位法》，首 批工程硕士毕业生有60多名以实践成果获得学位，相信这一"小切口"改革能够成为撬动整个学科专业体 系分类发展、分类评价的"大杠杆"，进一步推动教育链、人才链、产业链、创新链的深度融合。 吴刚介绍，卓越工程师培养改革实施三年来，有组织、体系化、成建制推动产教深度融合，引领带动了 我国学科专业的加快调整优化。主要是三个方面。 一是突出服务国家战略的导向。卓越工程师培养改革的领域布局集中在集成电路、人工智能等18个关键 领域，具有鲜明的国家战略导向。我们首次 ...

Core Insights - The impact of AI on education is profound, transitioning from a mere tool revolution to a catalyst for educational reform [2] - The forum discussed the dual nature of AI's influence on education, highlighting both its benefits and drawbacks [2] Group 1: AI's Role in Education - AI can enhance teaching efficiency and broaden students' knowledge, but it also poses risks such as facilitating cheating and undermining critical thinking [2] - The traditional examination system, which emphasizes memorization, is at odds with AI capabilities, necessitating a reform in assessment methods [3] - Suggestions include using AI to generate challenging questions that promote deep thinking and exploration among students [4] Group 2: Educational Assessment Challenges - The current educational evaluation system may exacerbate student burdens due to frequent standardized testing driven by technology [5] - AI could narrow educational assessments by focusing on comparative performance among peers, potentially increasing educational inequality [5] - The need for a natural integration of AI into education rather than forced administrative implementation is emphasized [5] Group 3: Opportunities for Reform - AI presents a chance to reconnect learning and assessment, shifting focus from rote knowledge to understanding and cognitive expansion [7] - Teachers can leverage AI to observe diverse learning styles and redesign educational environments to meet varied needs [8] - Recommendations include maintaining foundational knowledge without AI reliance, combining open and closed book assessments, and ensuring personal evaluation by teachers [8]

Core Viewpoint - The impact of AI on education is profound, transforming it from a mere tool revolution to a fundamental educational revolution, necessitating a reevaluation of traditional assessment methods [2] Group 1: AI's Impact on Education - AI enhances teaching efficiency and expands students' knowledge but also facilitates cheating and undermines critical thinking [2] - The intersection of AI and exam-oriented education raises questions about academic competition anxiety and the need for new evaluation methods [2] - AI's ability to make knowledge readily available diminishes its scarcity, leading to a need for reform in assessment systems to focus on understanding and application rather than rote memorization [2] Group 2: Educational Strategies and Teacher Roles - Teachers should design challenging questions and utilize AI to encourage deep thinking and exploration among students [3] - The essence of education should return to learning, with students taking more responsibility for their education through AI, while teachers transition to coaching roles [3] Group 3: Negative Consequences of AI in Education - AI may exacerbate unreasonable educational evaluations, increasing students' academic burdens [4] - The misuse of technology can lead to frequent standardized testing, contributing to heavier workloads for students [5] - AI could narrow educational assessments, focusing on peer comparisons and neglecting individual potential, potentially increasing educational inequality [6] Group 4: Opportunities for Improvement - AI presents a significant opportunity to integrate learning and assessment, moving away from superficial knowledge testing [7] - The focus should shift from what students know to how they learn and expand their understanding, allowing for a more adaptive and interactive learning environment [8] - Recommendations include combining open-book and closed-book exams, ensuring foundational knowledge without over-reliance on AI, and maintaining personal assessments by teachers [8]