电气技术2025，Vol.26Issue(11)：48-52,5.
跨学科融合研究
Interdisciplinary integration research:taking"Internet of Things+Smart Agriculture"as an example
摘要
Abstract
At present,in the training of interdisciplinary talents integrating Internet of Things engineering and smart agriculture,there are problems such as insufficient alignment between training objectives and industry needs,imperfect curriculum system,lack of teaching resources and inadequate faculty.In response to this,the teaching team,under the guidance of the"student-centered"concept of engineering education professional accreditation and based on the background of the construction of emerging engineering disciplines,builds an"outcome-oriented"talent cultivation system with the goal of empowering application capabilities,the path of cross-integration of smart agriculture,and the supported by a multi-party collaborative education mechanism.It clarifies the training objectives for interdisciplinary innovative talents in"Internet of Things+Smart Agriculture",and enhances the pertinence and effectiveness of education.A curriculum system of"three foundations,two requirements,and one core"is designed to consolidate the professional foundation and strengthen practice and innovation.A"three-integration"teaching team is set up to integrate interdisciplinary faculty.A collaborative innovation platform is built to promote the integration of industry,education,research and application,and accelerate the transformation of achievements.The above series of measures have achieved short-term results,improved students'innovation ability,and can provide experience reference for the training of talents in emerging engineering disciplines.关键词
跨学科融合/物联网/智慧农业/物联网控制Key words
interdisciplinary integration/Internet of Things(IoT)/smart agriculture/IoT control引用本文复制引用
曾德斌,施明登,韩清华,陈文绪,郑良芳..跨学科融合研究[J].电气技术,2025,26(11):48-52,5.基金项目
2023年教育部产学合作协同育人项目(230828124707197)塔里木大学课程思政教学示范课程(TDKCSZ22431)塔里木大学高等教育教学改革研究项目(TDGJYB2402)塔里木大学校级教学团队"物联网工程专业教学团队"(TDJXTD2208)兵团一流本科专业"物联网工程"(22/22000030126)塔里木大学一流本科课程-RFID与智能卡技术(05/424205008) （230828124707197）
