人工智能赋能教学的伦理审视  

Ethical Examination of Artificial Intelligence Empowering Teaching

在线阅读下载全文

作  者:胡金木[1,2] 张珺 Hu Jinmu;Zhang Jun

机构地区:[1]陕西师范大学教育学部,西安710062 [2]陕西师范大学学校德育与师德研究中心,西安710062 [3]南京师范大学教育科学学院,南京210097

出  处:《课程.教材.教法》2025年第2期64-71,共8页Curriculum,Teaching Material and Method

基  金:国家社会科学基金2024年度重大项目“习近平总书记关于教师队伍建设重要论述的学理阐释”(24&ZD181)。

摘  要:人工智能寄予教学未来转型的期待,为个性化学习、精准化教学、虚拟仿真教学环境等提供了可能。然而,人工智能也带来了主体性伦理隐忧,如过度依赖“思维机器”导致的认知能力退化、一味适应机器引发的反主体性危机与数字控制、沉湎于虚拟现实导致人与人之间情感淡漠等。面对隐忧,我们应该审视人、技术与教学之间的关系,警惕教学的技术增强对人的主体性的伤害。教学中的脆弱、不确定与风险蕴含着生命成长的美丽可能,接受风险不仅是对教育本质的承认,更意味着选择“非力量”技术,守护“弱性教育”。人工智能赋能教学过程中应当被谨慎而合理地应用,以确保其增强而非替代传统教学过程,促进师生、生生间的社会融合和情感联结,同时教师应对智能技术使用作出教育性判断,培养学生的主体性与批判性思维,确保教与学过程的教育性、安全性与公正性。Artificial intelligence holds the promise of education transformation,offering possibilities for personalized learning,precise teaching and virtual simulation scenario.However,it also brings ethical concern, including cognitive decline due to over-reliance on thinking machine,anti-subjectivity crisis and digital control stemming from adaptation to machine,and emotional coldness between individuals caused by virtual reality.In light of the concern,we should examine the relationship between human beings,technology and teaching and remain vigilant about the harms of technological enhancement to human beings.The vulnerability,uncertainty and risks in teaching contain the beautiful potential for growth and embracing risk means choosing "non-power" technology,which means to protect "vulnerable education".Use of AI should be cautious and reasonable to empower teaching to ensure that it enhances rather than replaces traditional teaching,promotes social integration and emotional connection among teachers and students.Teachers should make educational judgment regarding the use of intelligent technology to cultivate students' subjective and critical thinking and ensure the educational,safe,and equitable nature of teaching and learning.

关 键 词:人工智能 教学伦理 伦理隐忧 美丽风险 弱性教育 

分 类 号:G42[文化科学—课程与教学论]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象