探讨生成式AI在教育中的角色与使用策略
AI in Education: Rationale, Principles, and Instructional Implications
- 区分大语言模型与传统搜索，强调批判性评估能力的重要性
- 指出AI可提供个性化学习支持，但误用会削弱深度学习
- 适合教师参考，帮助设计平衡AI使用的教学方案
本研究考察了生成式AI在学校的整合应用，评估其带来的益处与风险。随着学生使用AI的增加，理解其对教与学实践的影响至关重要。生成式AI（如ChatGPT）能生成类人内容，引发对其教育角色的思考。文章区分了大语言模型与传统搜索引擎，并强调学生需发展批判性源评估能力。尽管关于AI课堂影响的实证证据有限，但其可提供个性化学习支持与问题解决工具，同时也存在误用时削弱深度学习的风险。研究强调应采用有意识的策略，确保AI辅助而非替代真正的认知努力。AI的教育角色应根据具体情境，由教学目标引导。最后，研究为教师提供了有效利用AI促进理解与批判性参与的实际建议，倡导平衡方法以提升学生的知识与技能发展。
原文摘要 · Abstract (English)
This study examines the integration of generative AI in schools, assessing its benefits and risks. As AI use by students grows, it's crucial to understand its impact on learning and teaching practices. Generative AI, like ChatGPT, can create human-like content, prompting questions about its educational role. The article differentiates large language models from traditional search engines and stresses the need for students to develop critical source evaluation skills. Although empirical evidence on AI's classroom effects is limited, AI offers personalized learning support and problem-solving tools, alongside challenges like undermining deep learning if misused. The study emphasizes deliberate strategies to ensure AI complements, not replaces, genuine cognitive effort. AI's educational role should be context-dependent, guided by pedagogical goals. The study concludes with practical advice for teachers on effectively utilizing AI to promote understanding and critical engagement, advocating for a balanced approach to enhance students' knowledge and skills development.
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