人工智能赋能高等教育评价,为教育领域提供更为精准、高效的评价服务,引发教育评价领域的深刻变革。人工智能与高等教育的深度融合,是推动高等教育自身变革的积极尝试,是对国家战略的重大响应。人工智能是一把双刃剑。一方面,人工智能...人工智能赋能高等教育评价,为教育领域提供更为精准、高效的评价服务,引发教育评价领域的深刻变革。人工智能与高等教育的深度融合,是推动高等教育自身变革的积极尝试,是对国家战略的重大响应。人工智能是一把双刃剑。一方面,人工智能具有科学性、多元性、发展性的特征,它大大提高评价效率、改善评价结果、丰富评价主体、促进资源配置。另外一方面,由于算法复杂性、抽象性、排他性等特征,人工智能在伦理安全、评价标准、技术更迭、数据处理方面存在诸多挑战。研究主要从制度层面、技术层面、评价主体层面、评价标准层面四个层面提出具体的改进建议,以充分发挥人工智能赋能高等教育的价值最大化,为教育、科技、人才一体化建设贡献力量。Artificial intelligence enables higher education evaluation, provides more accurate and efficient evaluation services for the field of education, and triggers profound changes in the field of education evaluation. The deep integration of artificial intelligence and higher education is a positive attempt to promote the reform of higher education itself and a major response to the national strategy. Artificial intelligence is a double-edged sword. On the one hand, artificial intelligence has the characteristics of science, diversity and development, which greatly improves the evaluation efficiency, improves the evaluation results, enriches the evaluation subject, and promotes the allocation of resources. On the other hand, due to the complexity, abstraction, exclusivity and other characteristics of artificial intelligence, there are many challenges in the aspects of ethical safety, evaluation standards, technological change, and data processing. This study mainly puts forward specific improvement suggestions from four levels: system level, technical level, evaluation subject level and evaluation standard level, so as to maximize the value of AI-enabled higher education and contribute to the integration construction of education, science and technology and talents.展开更多
文摘人工智能赋能高等教育评价,为教育领域提供更为精准、高效的评价服务,引发教育评价领域的深刻变革。人工智能与高等教育的深度融合,是推动高等教育自身变革的积极尝试,是对国家战略的重大响应。人工智能是一把双刃剑。一方面,人工智能具有科学性、多元性、发展性的特征,它大大提高评价效率、改善评价结果、丰富评价主体、促进资源配置。另外一方面,由于算法复杂性、抽象性、排他性等特征,人工智能在伦理安全、评价标准、技术更迭、数据处理方面存在诸多挑战。研究主要从制度层面、技术层面、评价主体层面、评价标准层面四个层面提出具体的改进建议,以充分发挥人工智能赋能高等教育的价值最大化,为教育、科技、人才一体化建设贡献力量。Artificial intelligence enables higher education evaluation, provides more accurate and efficient evaluation services for the field of education, and triggers profound changes in the field of education evaluation. The deep integration of artificial intelligence and higher education is a positive attempt to promote the reform of higher education itself and a major response to the national strategy. Artificial intelligence is a double-edged sword. On the one hand, artificial intelligence has the characteristics of science, diversity and development, which greatly improves the evaluation efficiency, improves the evaluation results, enriches the evaluation subject, and promotes the allocation of resources. On the other hand, due to the complexity, abstraction, exclusivity and other characteristics of artificial intelligence, there are many challenges in the aspects of ethical safety, evaluation standards, technological change, and data processing. This study mainly puts forward specific improvement suggestions from four levels: system level, technical level, evaluation subject level and evaluation standard level, so as to maximize the value of AI-enabled higher education and contribute to the integration construction of education, science and technology and talents.