Survey analysis of computer science, food science, and cybersecurity skills and coursework of undergraduate and graduate students interested in food safety

Q2 Social Sciences
K. M. Feye, H. Lekkala, J. A. Lee-Bartlett, D. R. Thompson, S. C. Ricke
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引用次数: 5

Abstract

Automation is coming and will enable not only the ability to increase poultry processing line speeds, but also the collection of considerable “big data.” These data can be collected en masse, stored, analyzed, and used to improve food safety, quality, enhance traceability, and also be used for risk assessment. However, as this technology is implemented in the poultry industry, computer hackers will emerge to pose a clear and present danger to the poultry industry and the upcoming generation of professionals must be equipped with the knowledge to protect sensitive data. The objective of this study was to quantitate the current computer science (CS) competency, food science exposure and extracurricular activities, and familiarity with cybersecurity topics of students in food science and related fields. Students ranked their CS abilities, 1 through 5, with 1 being the lowest level of competence and 5 representing the highest level of confidence. To assess their knowledge of food safety-related sciences, participants were asked about their familiarity with the respective fields. The average student was familiar with common avenues of food safety exposure, such as television and the Internet. Students were less familiar with more advanced, and arguably important topics, such as botnet. Finally, the students ranked their familiarity with cybersecurity topics, 1 through 5, with 1 representing being not familiar at all and 5 representing extremely familiar. Therefore, to meet the future technological demands, specific course-work is required to improve prospective student CS and cybersecurity competency.

Abstract Image

对计算机科学、食品科学和网络安全技能的调查分析以及对食品安全感兴趣的本科生和研究生的课程
自动化即将到来,不仅能够提高家禽加工生产线的速度,还能收集大量的“大数据”。这些数据可以大量收集、存储、分析,用于提高食品安全、质量、增强可追溯性,也可用于风险评估。然而,随着这项技术在家禽业的实施,计算机黑客将出现,对家禽业构成明显和现实的危险,下一代专业人员必须具备保护敏感数据的知识。本研究的目的是量化食品科学及相关领域学生当前的计算机科学(CS)能力、食品科学接触和课外活动以及对网络安全主题的熟悉程度。学生们将他们的计算机科学能力从1到5进行排序,1代表最低水平的能力,5代表最高水平的信心。为了评估他们对食品安全相关科学的知识,参与者被问及他们对各自领域的熟悉程度。普通学生熟悉常见的食品安全接触途径,如电视和互联网。学生们不太熟悉更高级、更重要的话题,比如僵尸网络。最后,学生们对网络安全主题的熟悉程度进行排名,从1到5,1代表完全不熟悉,5代表非常熟悉。因此,为了满足未来的技术需求,需要具体的课程来提高未来学生的CS和网络安全能力。
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来源期刊
Journal of Food Science Education
Journal of Food Science Education EDUCATION, SCIENTIFIC DISCIPLINES-
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期刊介绍: The Institute of Food Technologists (IFT) publishes the Journal of Food Science Education (JFSE) to serve the interest of its members in the field of food science education at all levels. The journal is aimed at all those committed to the improvement of food science education, including primary, secondary, undergraduate and graduate, continuing, and workplace education. It serves as an international forum for scholarly and innovative development in all aspects of food science education for "teachers" (individuals who facilitate, mentor, or instruct) and "students" (individuals who are the focus of learning efforts).
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