體驗區
|
| 篇名 |
生成式人工智能赋能教育研究范式变革：机理、风险与对策
|
| 並列篇名 |
AIGC Enabling Paradigm Change in Educational Research:Mechanisms, Risks and Countermeasures
|
| 作者 |
荆洲(Jing Zhou)
、杨启光(Yang Qiguang)
|
| 中文摘要 |
在《科学革命的结构》一书中，库恩认为科学革命的本质是范式转换而非知识堆栈。作为新一轮AI革命“皇冠上的明珠”，生成式人工智能(AIGC)凭借其高智能交互、创造性生成、复杂数据处理等能力，拓展出教育研究范式变革的新路径。该研究以AIGC的功能机理与助研情境为基点，从知识论、本体论、方法论与价值论四个维度阐述了该工具对于教育研究范式变革的赋能逻辑。然而，作为一项颠覆性技术，AIGC的助研应用仍面临着知识生成的真实性与合法性质疑、服务客体的局限性、数据安全与伦理的危险性以及信息承载意识形态的侵犯性等问题，应从四个层面制定技术赋能策略：在工具层面，以技术降槛推进教育人工智能知识权力公平；在基建层面，扩大教育研究数字化空间普及；在安全层面，创建科研领域的轻量化专用型语料库；在话语建设层面，支持本土AIGC平台的功能迭代与国际传播。
|
| 英文摘要 |
In his book The Structure of Scientific Revolutions, Kuhn argues that the essence of scientific revolutions is paradigm shift rather than knowledge stack. As the “crown jewel” of the new round of AI revolution, artificial intelligence generated content (AIGC) expands a new path for upgrading the paradigm of educational research by virtue of its ability of highly intelligent interaction, creative generation, and complex data processing, etc. This study is based on the functional mechanism of AIGC and the context of research assistance. Based on the functions and research-assisting contexts of AIGC, this study elaborates the enabling logic of the tool from four dimensions: knowledge theory, ontology, methodology and value theory. However, as a disruptive technology, the research application of AIGC still faces the problems of questioning the authenticity and legitimacy of knowledge generation, the limitations of service objects, the dangers of data security and ethics, and the violation of information-bearing ideologies, etc., and the technology empowerment strategy should be formulated from four dimensions: at the tool level, to promote the fairness of knowledge power of AI for education by technological threshold reduction; at the infrastructure level, to expand the education research digital space popularization; at the security level, create a lightweight and dedicated corpus in the field of scientific research; at the discourse construction level, support the functional iteration and international dissemination of the local AIGC platform.
|
| 頁次 |
068-075
|
| 關鍵詞 |
教育数字化转型
、学科研究范式
、生成式人工智能
、人智协同
、digital transformation of education
、disciplinary research paradigm
、artificial intelligence generated content
、human-intelligence collaboration
、CSSCI
|
| 卷期 |
446
|
| 日期 |
202403
|
| 刊名 |
中國電化教育
|
| 出版單位 |
中國電化教育雜誌社
|
|
相關文獻 :
客服信箱