基于乡村振兴教育的跨学科社会实践——研究导向型融合式教学模式初探
An interdisciplinary social practice based on education for rural revitalization:an exploration of research-led syntegrative education mode
陈冰 1熊媛 2陆文 3何璘2
作者信息
- 1. 西交利物浦大学 设计学院,江苏 苏州 215123
- 2. 贵州民族大学 建筑工程学院,贵州 贵阳 550000
- 3. 西南科技大学 土木工程与建筑学院,四川 绵阳 612000
- 折叠
摘要
为实现教育教学服务乡村振兴的目标,贵州民族大学和西交利物浦大学成立了"贵州报京侗寨乡村振兴联合工作营",在乡村实景中探索相关人才培养的有效方法和推进建筑类学科教学改革的有效途径.实践中发现,多学科融合的教学模式与多资源融合的教学平台是培养乡村振兴人才的有效方法.针对乡村振兴的教学改革核心应变"知识积累"为"思想价值引领"."联合工作营"设计了以学习者为中心的研究导向型融合式教学模式,开展了在乡村学习、向乡村学习、为乡村学习、让乡村学习等多维度教学活动,为乡村振兴培养和储备人才.
Abstract
To promote education for rural revitalization,Guizhou Minzu University and Xi'an Jiaotong-Liverpool University organizes a joint workshop on Rural Revitalization of Baojing Village of the Dong Ethnic Group,Guizhou,to explore effective approaches for cultivating talents and promoting teaching reform in architecture in rural scenario.It is found that an interdisciplinary education mode and a multi-resource education platform that syntegrates(synthesizes and integrates)a wide range of resources could effectively support the education for rural revitalization.The key challenge of this education reform is to change from knowledge accumulation to self-awareness and value improvement.By designing a learner-centred research-led syntegrative learning and teaching process,the workshop carries out multi-dimensional learning and teaching activities,including learn in the village,learn from the village,learn for the village,and let the village learn,which could cultivate and prepare talents for rural revitalization.
关键词
研究导向型教学/融合式教学/乡村振兴/以学习者为中心/跨学科Key words
research-led learning and teaching/syntegrative pedagogy/rural revitalization/learner-centred/cross-disciplinary引用本文复制引用
基金项目
英国艺术与人文研究委员会AHRC项目(AH/R004129/1)
贵州省高等学校教改项目(2019062)
浙江省自然科学基金项目(LY19E080001)
西交利物浦大学研究发展基金项目(RDF-17-01-27)
西交利物浦大学教学发展基金项目(TDF-20/21-R22-149)
西交利物浦大学教学发展基金项目(TDF-22/23-R26-218)
西交利物浦大学本科生暑期研究项目(SURF201925)
贵州民族大学2018年教育教学改革项目(2018OBE8)
贵州省高校人文社会科学研究项目(2024RW322)
2023年贵州省教学改革项目(2023095)
出版年
2024
国家科技期刊平台
NSTL
万方数据