中国轻工教育

以Deep Seek为代表的生成式AI技术正推动教育领域发生深刻变革,为自主学习带来全新而高效的方式,然而,其潜藏的“不完全可靠”问题日益凸显,风险不容忽视。通过系统剖析生成式AI在自主学习中的优势与短板,构建了一种兼具传统学习模式严谨性与AI学习模式高效性的自主学习路径,并对新型学习路径有效性进行了验证,同时提出了一系列提升学生自主学习能力的实践建议。该新型学习路径有助于科学高效地运用AI赋能自主学习,抑制AI应用风险,有效推进教育数智化进程。

Generative AI technologies, represented by Deep Seek, are driving profound transformations in the field of education and offering novel and efficient approaches to self-directed learning. However, their inherent issue of “incomplete reliability” has become increasingly critical and the associated risks cannot be overlooked. Through a systematic analysis of the strengths and limitations of generative AI in supporting self-directed learning, this study constructs a learning pathway that integrates the rigor of traditional learning models with the efficiency of AI-enabled approaches. Subsequently, the effectiveness of this new pathway is evaluated and a series of practical suggestions for enhancing students' self-directed learning capabilities are proposed. The findings of this study could facilitate the scientific and efficient application of AI to empower self-directed learning, while mitigating potential risks associated with AI, thereby advancing the digital and intelligent transformation of education.