人机合作知识生产背景下的研究生培养

Direction of Postgraduate Education in the Background of Human-machine Cooperative Knowledge Production

以ChatGPT为代表的人工智能技术正在深度介入人类知识生产过程,推动人类知识生产革命。人机合作知识生产是时代所驱,必然对研究生培养带来变革。研究生学位论文是典型的“学术型知识生产”,亦是研究生培养的抓手。通过与ChatGPT合作撰写MPA学位毕业论文,人类仅用逻辑提问和简单的语言组织逐步引导ChatGPT通过选题确定、逻辑框架、内容论证和对策建议四个步骤最终完成论文,以探究ChatGPT知识生产的工作流程、准确性和组织力。对标高质量MPA学位论文标准评价人机合作知识产出的质量,发现人与ChatGPT合作的知识产出连贯、(部分)准确、信息丰富、较为系统,整体达到了令人满意的效果,但在创新力、逻辑思维、批判思维等高阶能力方面表现不佳,因此在人机合作知识生产背景下研究生培养应重点关注问题意识、逻辑思维、批判思维和数据素养等四个方面。

Artificial intelligence technology,represented by ChatGPT,is deeply involved in the production process of human knowledge,promoting the revolution of human knowledge production.Human-machine cooperative knowledge production is a trend of the time and is bound to bring about changes in postgraduate education.Postgraduate thesis writing is typically academic knowledge production and is also the “rein”of postgraduate training.In accomplishing an MPA degree graduation thesis,men can guide ChatGPT to proceed with topic selection,logical framework construction,evidence collection and countermeasures proposal merely with some logical questions and simple language organization.It reveals the work flow,accuracy and organization of ChatGPT in knowledge production.It is found that,compared with the benchmark of high-quality MPA thesis,the thesis generated by ChatGPT is coherent,(partially)accurate,rich in information and relatively systematic.While it is satisfactory as a whole,it does not perform well in high-order abilities such as innovation,logical thinking and critical thinking.Therefore,it is concluded that in the background of human-machine cooperative knowledge production,postgraduate training should focus on problem consciousness,logical thinking,critical thinking and data literacy.