中国农业机械化科学研究院集团有限公司 主管

北京卓众出版有限公司 主办

融合对分课堂理念与云班课的农业机械试验设计与数据分析课程教学模式探索

Exploration of teaching models for Agricultural Machinery Experimental Design and Data Analysis integrating concept of PAD class and cloud class

  • 摘要: 在当前的农业人才培养过程中,常见的问题包括知识体系老化、知识结构单一及创新能力欠缺。这些问题导致培养的人才难以满足现代农业生产力发展的要求。针对这一挑战,混合式教学模式成为教学改革的重要研究方向,线上线下混合式教学模式已成为国内院校的主流。然而,这种模式相对依赖学生的自主性和网络资源条件。为克服传统教学模式的弊端和现有先学后教混合模式的条件限制,农业机械试验设计与数据分析课程教学基于对分课堂理念,通过蓝墨云班课平台将学生的线上学习与课堂教师的线下讲授有机结合,在优化课前探索和课中导学环节的基础上,进一步加强过程考核和互动交流,更好地促进试验设计知识和实践能力的传递与内化,切实提升学生的学习动力和自我发展能力,为进一步提高教学效果和质量,培养更多满足当前农业新质生产力需求的创新型工程技术人才奠定基础。

     

    Abstract: Currently, problems commonly found in training process of agricultural talents include outdated knowledge systems, narrow knowledge structure, and lack of innovation ability.These issues caused talents to be difficult to meet requirements of development needs of new productive forces in agriculture.In response to challenge, mixed teaching mode has become an important research direction for teaching reform, and online-offline mixed teaching mode has become mainstream in domestic universities.However, this mode relies relatively on students' autonomy and network resources.To overcome shortcomings of traditional teaching mode and limitations of existing learning before-teaching hybrid mode, teaching mode of Agricultural Machinery Experimental Design and Data Analysis was based on PAD class concept, which organically, combines students' online learning with teachers' offline teaching through Moso Teach platform.Based on optimization of pre-class exploration and in-class guidance sections, process assessment and interactive communication have been further strengthened to achieve knowledge transmission and internalization absorption better, effectively enhancing students' intrinsic motivation for learning and improving their self-development abilities.Foundation has been laid for further improving teaching effectiveness and quality, cultivating more innovative engineering technicians in agricultural equipment who meet current demands for new productive forces in agriculture.

     

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