教育学展望

近年来,伴随数字技术的加速进步,生成式人工智能在愈来愈多的领域挑战人类智能占据的垄断地位。在即将来临的智能时代,如果既有的知识生产与评价制度不改变,如果传统的知识生产模式和层级化的学术职业体系未能及时更新,技术性失业极有可能蔓延至学术职业领域。面对知识生产智能化和智识劳动自动化的双重挑战,大学教师应当专注于智能机器所不能做的事,而非与机器展开竞争。此外,学术职业发展需要放弃对发表的单一偏好,以质量优先代替数量至上,并依托“人类智能+人工智能”的混合系统,实现对知识生产模式的革新。

In recent years, with the accelerated progress of digital technology, generative artificial intelligence has challenged the monopoly of human intelligence in more and more fields. In the upcoming era of intelligence, if the established knowledge production and evaluation system is not changed, and if the traditional knowledge production model and hierarchical academic career system are not updated, technological unemployment may spread to the academic career field. Faced with the double challenges of intelligent knowledge production and intelligent labor, university teachers should focus on what intelligent machines cannot do,rather than competing with them. In academic career development, it is crucial to prioritize the quality of research and give up the single preference for publication and update knowledge production models based on a hybrid system of “human intelligence+artificial intelligence”.