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新质教育背景下生成式人工智能技术在高校教学改革中的应用探索

Exploration of application of generative artificial intelligence technology in higher education teaching reform under background of new quality education
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摘要 生成式人工智能技术的迅速发展为高等教育改革注入了新的动力。然而,单纯依赖外部技术手段推动教学改革可能忽视高校教育的交互性、开放性及思政教育特色,从而导致在教育过程中主体权利的边界模糊、教学评价观念滞后及伦理隐私问题。在计算智能和感知智能向认知智能升级的过程中,高校应构建一个包括改革目标、算力支持、协作机制和评价保障等要素的教学改革框架。同时,借助人工智能赋能与提升的双重路径,增强教学体系的自我管理能力,拓展治理边界,并系统性地构建智能时代下的高校教学生态。这有助于推动行业企业、相关部门、社会和高校形成教学共同体。文章以计算机专业的“科学研究方法与论文写作”课程为例,结合新型教育理念,探讨生成式人工智能技术在课程教学中的应用现状、改革策略及实施成效,旨在为高校教学创新提供实际参考。 The rapid development of generative artificial intelligence technology has injected new impetus into higher education reform.However,relying solely on external technological means to promote teaching reform may overlook the interactivity,openness,and ideological and political education characteristics of higher education,leading to blurred boundaries of subject rights,lagging teaching evaluation concepts,and ethical privacy issues in the educational process.In the process of upgrading from computational intelligence and perceptual intelligence to cognitive intelligence,universities should establish a teaching reform framework that includes reform goals,computing power support,collaboration mechanisms,and evaluation guarantees.At the same time,by leveraging the dual path of artificial intelligence empowerment and improvement,we aim to enhance the self-management ability of the teaching system,expand governance boundaries,and systematically construct a university teaching ecosystem in the era of intelligence.This helps to promote the formation of a teaching community among industry enterprises,relevant departments,society,and universities.The article takes the course of“scientific research methods and paper writing”in computer science as an example,combined with the new educational concept,to explore the application status,reform strategies,and implementation effects of generative artificial intelligence technology in course teaching,aiming to provide practical reference for teaching innovation in universities.
作者 穆辉宇 乔保军 党兰学 张俊涛 张瑾 闫永航 王雅娣 MU Huiyu;QIAO Baojun;DANG Lanxue;ZHANG Juntao;ZHANG Jin;YAN Yonghang;WANG Yadi(School of Computer and Information Engineering,Henan University,Kaifeng,Henan 475003,China)
出处 《计算机应用文摘》 2025年第24期34-38,共5页
基金 河南省自然科学基金青年科学基金项目(252300420954) 河南省高校重点科研项目(24A520004) 2023年河南省研究生教育改革与质量提升工程项目(YJS2023JD28,YJS2024JD30) 河南省高校科技创新团队支持计划(24IRTSTHN021) 河南大学研究生教育教学改革研究与实践项目(SYL2025YJSJG49,SYL2025YJSAL04,HDXJJG2024-050,YJSJG2023XJ032,YJSJG2023XJ067)。
关键词 生成式人工智能 教学改革 科学研究方法与论文写作 课程思政 DeepSeek generative artificial intelligence teaching reform scientific research methods and paper writing course ideological and political education DeepSeek
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