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

Open research Europe Pub Date : 2025-01-15 eCollection Date: 2024-01-01 DOI:10.12688/openreseurope.17205.2
Stephen Burleigh, Håkan Jönsson
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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.

欧洲农业食品和林业教育可持续发展的未来-从信息学方法的差距分析。
背景:NextFood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中即将到来的全球挑战,并涉及可持续性、技术适应和网络等概念。本研究是基于最初的技能和能力映射,但采用不同的方法方法。这项研究没有调查研究文献和专业人士认为对未来重要的技能,而是询问现有的教育项目如何在其项目描述中包括或排除这些技能。方法:使用基于python的网络抓取脚本从精选的欧洲硕士课程网站收集文本,然后使用统计工具对其进行分析。使用这种方法,总共研究了14个国家、27所大学、1303个欧洲硕士项目、3305个网页和近200万字。结果:虽然农业食品和林业硕士项目与NextFood项目的“技能类别”保持一致,甚至比不相关的硕士项目更频繁,但我们发现有证据表明,与协作、沟通和团队合作等社交技能相关的词汇使用相对较少。在农业食品硕士项目中,与农业相关的项目使用这些词的次数最少。相比之下,与非农业食品硕士项目相比,农业食品项目更多地使用了与可持续性和系统思维相关的词汇。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NextFood项目概述的应对未来挑战的教育路径,可能网络技能除外。这种方法可以对欧洲农业食品系统的教育现状进行补充和省时的概述。
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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