
如何在技术应用层面促进“人工智能+教育”持续发展?
坚持技术祛魅与技术化归相结合。在“人工智能+教育”的发展过程中,我们必须坚持技术祛魅与技术化归相结合的原则,以确保先进技术能够真正服务于教育的本质。技术祛魅意味着我们需要打破对人工智能技术的过度神秘化和盲目崇拜,正视其作为一种工具的本质。通过深入了解人工智能的原理、能力和局限,更加理性地看待其在教育中的作用,避免盲目追求技术的新颖性,而忽视其与教育目标的契合度。在实施新的人工智能教育技术之前,应建立一个审查机制来评估其适用性、有效性和潜在风险,确保只有经过验证和符合教育目标的技术才会被引入。 数字化转型网www.szhzxw.cn
技术化归强调的是将人工智能技术恰当地融入教育过程中,使其成为提升教学效果、辅助教师工作、促进学生学习的有力工具,而不是用来完全替代教师的角色或传统的教育方式。因此,应该明确技术应用边界,明确人工智能在教育中的应用范围,教育机构需要与技术专家、教育专家共同制定人工智能在教育领域的应用标准和指南,这些标准和指南应明确哪些人工智能技术是适用的,哪些可能不适合教育环境,以及如何合理地将人工智能集成到教学活动中。通过明确界定人工智能在教育中的合理应用范围,避免技术的过度使用,以及教学过程中教师和学生对于技术的过于依赖,进而影响教学过程的独立思考和创新性。
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翻译:
How to promote the sustainable development of “artificial intelligence + education” at the level of technology application?
Adhere to the combination of technical disenchantment and technical transformation. In the development process of “artificial intelligence + education”, we must adhere to the principle of combining technology disenchantment with technology to ensure that advanced technology can truly serve the essence of education. Technological disenchantment means that we need to break the excessive mystification and blind worship of artificial intelligence technology and face up to its essence as a tool. By gaining a deeper understanding of the principles, capabilities, and limitations of AI, we can view its role in education more rationally and avoid blindly pursuing the novelty of technology while ignoring its fit with educational goals. Before implementing new AI educational technologies, a review mechanism should be established to assess their applicability, effectiveness and potential risks, ensuring that only technologies that are proven and aligned with educational objectives are introduced.
Technicalization emphasizes the proper integration of artificial intelligence technology into the education process, making it a powerful tool to improve teaching effect, assist teachers’ work, and promote students’ learning, rather than completely replacing the role of teachers or traditional education methods. Therefore, the boundaries of technology application should be clearly defined and the scope of application of artificial intelligence in education should be clearly defined. Educational institutions need to work with technical experts and educational experts to develop standards and guidelines for the application of artificial intelligence in the field of education. These standards and guidelines should clarify which artificial intelligence technologies are applicable and which may not be suitable for the educational environment. And how to reasonably integrate artificial intelligence into teaching activities. By clearly defining the reasonable application scope of artificial intelligence in education, we can avoid the excessive use of technology and the excessive dependence of teachers and students on technology in the teaching process, thus affecting the independent thinking and innovation of the teaching process.
