Challenges and Strategy Construction for “Three-all Education” in the Context of AIGC Development
Main Article Content
Keywords
three-all education, generative artificial intelligence (AIGC), digital and intelligent ideological and political education, innovation in educational pathways
Abstract
Artificial intelligence under the development of technological revolution has moved from decision-making artificial intelligence to generative artificial intelligence, but the technological drawbacks brought about by this are bound to pose new challenges to ideological and political education and even the “Three-all Education” in the new era. Based on the current situation, this paper uses literature review and case analysis methods to explore how the three gaps in AIGC (namely the technological access, usage skills, and content creation) exacerbate educational inequality and impact on the goals of “Three-all Education”, namely all-staff collaboration, whole-process coverage and all-round penetration. It also provides theoretical support for establishing a technology-education-ethics embedded collaborative framework in the future.
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