Social and Scientific Relevance of Systems Engineering Undergraduate Theses in Latin America

IF 1 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Revista Iberoamericana de Tecnologias del Aprendizaje Pub Date : 2024-10-08 DOI:10.1109/RITA.2024.3476154
Pilar Hidalgo-León;Ana Luna;Lornel Rivas
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Abstract

The main objective of this research is to contribute with a methodology based on data science techniques that allows the identification of undergraduate Latin American Systems Engineering theses that have social and scientific relevance. The Sustainable Development Goals promulgated by the UN with a view to 2030 research guidelines capable of influencing society. Hence, the importance of having a tool that allows obtaining indicators related to the research’s scientific and social relevance. We might wonder if it is possible to identify, through a systematic methodology, Systems Engineering undergraduate Latin American theses whose approach has scientific and social relevance. To answer this question free access repositories from 21 Latin American countries were used, and the search for System Engineering undergraduate theses published between 2015 and 2022 was restricted. We used scrapping and crawling techniques to demonstrate the social and scientific relevance, considering the title, the abstract, and the keywords of the analyzed theses as sources. After applying these techniques, the collected data were stored in a dataset. To enhance our search methodology, we implemented language-based filters, and we narrowed down the results by including only titles with keywords mentioned in the selection criteria. We then utilized the Google Scholar search engine and the SERP API to gather version and citation metrics. This approach in order to search for undergraduate theses with social and scientific relevance proved effective. However, we observed significant heterogeneity in the research areas pursued across various Latin American countries, reflecting diverse regional priorities. At the same time, this diversity presents opportunities to direct research efforts toward achieving social impact. Our findings provide a foundational understanding to guide the development of theses aligned with priorities of social development and sustainability.
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拉丁美洲系统工程本科生论文的社会和科学意义
这项研究的主要目的是利用一种基于数据科学技术的方法,找出具有社会和科学意义的拉丁美洲系统工程本科生论文。联合国颁布的可持续发展目标旨在为 2030 年制定能够影响社会的研究指导方针。因此,拥有一个能够获得与研究的科学和社会意义相关的指标的工具非常重要。我们不禁要问,是否有可能通过一种系统的方法,找出拉丁美洲系统工程本科生论文中具有科学和社会意义的研究方法。为了回答这个问题,我们使用了 21 个拉美国家的免费访问资料库,并限制搜索 2015 年至 2022 年间发表的系统工程本科生论文。我们将所分析论文的标题、摘要和关键词作为资料来源,使用刮擦和抓取技术来证明其社会和科学相关性。应用这些技术后,收集到的数据被存储在一个数据集中。为了改进搜索方法,我们使用了基于语言的过滤器,并缩小了搜索结果的范围,只包含选择标准中提到的关键词的标题。然后,我们利用 Google Scholar 搜索引擎和 SERP API 收集版本和引用指标。这种搜索与社会和科学相关的本科生论文的方法被证明是有效的。然而,我们发现拉丁美洲各国的研究领域存在很大差异,这反映了不同地区的优先事项。同时,这种多样性也为引导研究工作产生社会影响提供了机会。我们的研究结果提供了一个基础性的认识,可用于指导论文的撰写,使其与社会发展和可持续性的优先事项保持一致。
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CiteScore
4.30
自引率
0.00%
发文量
45
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