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面向可持续未来的欧洲农业食品与林业教育——基于信息学方法的差距分析

European agrifood and forestry education for a sustainable future - Gap analysis from an informatics approach.

作者信息

Burleigh Stephen, Jönsson Håkan

机构信息

Department of Process and Life Science Engineering, Division of Food and Pharma, LTH, Faculty of Engineering, Lund University, Lund, Skåne County, SE-221 00, Sweden.

出版信息

Open Res Eur. 2025 Jan 15;4:93. doi: 10.12688/openreseurope.17205.3. eCollection 2024.

Abstract

BACKGROUND

The NextFood Project ( www.nextfood-project.eu) started work in 2018 to identify 'Categories of Skills' that students should be equipped with to address the upcoming global challenges within agrifood and forestry disciplines. The skill groups are Innovative Mindset, Life-Long Learning, Network-Building, Strategic Management, Sustainability, Systems Perspective, Technological Knowledge and Versatility. This study is based on the initial skills and competencies mapping, but takes a different methodological approach. Instead of investigating what the research literature and professionals think are important skills for the future, this study asks how existing education programmes include or exclude these skills in the description of their programs.

METHODS

Python-based web-scraping scripts were used to collect texts from a selection of European Masters program websites, which were then analysed using statistical tools including Partial Least Squares regression and network analysis. A total of 14 countries, 27 universities, 1303 European Masters programs, 3305 web-pages and almost two million words were studied using this approach.

RESULTS

While agrifood and forestry Masters programs were aligned with the NextFood Project 'Categories of Skills' equal to or more often than unrelated Masters programs, we found evidence for the relative underuse of words associated with networking skills, such as collaboration, communication and eamwork. Agriculture-related programs used these words the least among the agrifood Masters programs. In contrast, agrifood programs used words associated with sustainability and system thinking more than the non-agrifood Masters programs.

CONCLUSIONS

The informatics approach provides evidence that many European agrifood and forestry Masters programs are following the educational paths for meeting future challenges as outlined by the NextFood Project, with the possible exception of networking skills. This approach allows a complementary and time-efficient overview of the current state of education in the agrifood system in Europe.

摘要

背景

“未来食品项目”(www.nextfood-project.eu)于2018年启动,旨在确定学生应具备的“技能类别”,以应对农业食品和林业学科即将面临的全球挑战。这些技能组包括创新思维、终身学习、网络建设、战略管理、可持续性、系统视角、技术知识和通用性。本研究基于最初的技能和能力映射,但采用了不同的方法论。该研究并非调查研究文献和专业人士认为哪些是未来的重要技能,而是询问现有教育项目在其项目描述中如何纳入或排除这些技能。

方法

基于Python的网络爬虫脚本用于从一系列欧洲硕士项目网站收集文本,然后使用包括偏最小二乘回归和网络分析在内的统计工具进行分析。使用这种方法共研究了14个国家、27所大学、1303个欧洲硕士项目、3305个网页以及近200万个单词。

结果

虽然农业食品和林业硕士项目与“未来食品项目”的“技能类别”保持一致的频率等于或高于不相关的硕士项目,但我们发现有证据表明与网络技能相关的词汇,如协作、沟通和团队合作,相对未得到充分使用。在农业食品硕士项目中,与农业相关的项目使用这些词汇最少。相比之下,农业食品项目使用与可持续性和系统思维相关的词汇比非农业食品硕士项目更多。

结论

信息学方法提供了证据,表明许多欧洲农业食品和林业硕士项目正在遵循“未来食品项目”概述的应对未来挑战的教育路径,但网络技能可能除外。这种方法可以对欧洲农业食品系统当前的教育状况进行补充且高效的概述。

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