From Learning Ecologies to a Social Ecosystem Model for Learning and Skills

IF 2.3 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Systems Pub Date : 2024-08-26 DOI:10.3390/systems12090324
Ken Spours
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Abstract

The growing relevance of socio-ecological systems (SESs) thinking reflects both the challenges of an anthropogenic poly crisis and attempts to understand the complexities of societal development in an era of globalisation. The article begins by suggesting there are two related variants of SES thinking—relationships between the natural and human worlds (Variant 1) and whole social and human system analysis using metaphorical transfer and theorisation of natural ecological principles (Variant 2). This article elaborates Variant 2 through the development a social ecosystem model (SEM) applied to post-compulsory education and skills development. An exploration of the SEM is conducted through a review of the literatures on ‘Learning Ecologies’ to assess the strengths and limitations of this human ecological approach. Perceived limitations are addressed by the development of the SEM that adds a political economy dimension to the learning ecological model, which is then applied to the field of learning and skills in the English context in support of an inclusive and place-based approach to vocational education and training (VET). The article concludes by suggesting that the SEM can be further expanded by its application to transitioning to more sustainable futures, being developed by scholars of indigenous communities and populations of the Global South, that arguably brings Variant 2 of SESs thinking closer to Variant 1.
从学习生态到学习和技能的社会生态系统模式
社会生态系统(SES)思维的重要性与日俱增,这既反映了人为因素造成的聚能危机所带来的挑战,也反映了人们试图理解全球化时代社会发展复杂性的努力。文章首先指出,社会生态系统思维有两种相关的变体--自然界与人类世界之间的关系(变体 1)以及利用自然生态原则的隐喻转移和理论化进行的整个社会和人类系统分析(变体 2)。本文通过开发一个适用于义务教育后教育和技能发展的社会生态系统模型(SEM)来阐述变式 2。通过回顾有关 "学习生态 "的文献,对社会生态系统模型进行了探讨,以评估这种人类生态方法的优势和局限性。通过开发将政治经济学维度添加到学习生态模型中的 SEM,解决了所发现的局限性,然后将 SEM 应用于英国的学习和技能领域,以支持以地方为基础的全纳职业教育与培训(VET)方法。文章最后建议,可以通过将 SEM 应用于向更可持续的未来过渡来进一步扩展 SEM,土著社区和全球南部人口的学者正在开发 SEM,这可以说使 SESs 思维的变体 2 更接近于变体 1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Systems
Systems Decision Sciences-Information Systems and Management
CiteScore
2.80
自引率
15.80%
发文量
204
审稿时长
11 weeks
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