高等教育课程中学生对大数据工程的认知：期望、兴趣与伦理影响
Students' Perception of Big Data Engineering in Higher Education Curricula: Expectations, Interest and Ethical Implications
- Faculty of Mathematics and Computer Science, Babeş-Bolyai University（布巴什-博约伊大学数学与计算机科学学院）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究通过对67名修读大数据课程的硕士学生开展匿名调查，经主题分析发现多数学生因职业发展等原因对大数据感兴趣，同时学生普遍关注大数据的安全隐私及伦理问题。
AI中文摘要：
本研究调查了纳入硕士课程的大数据工程课程中学生的兴趣与期望，以及使用大数据的伦理影响。针对修读计算机科学与生物信息学硕士项目开设的大数据课程的67名学生，其中42名学生参与了匿名在线调查。采用主题分析法对反馈进行分析与解读，重点关注与学生期望、兴趣及大数据工作伦理影响认知相关的有趣方面。研究得出结论：尽管学生背景存在显著差异，但多数学生因职业发展潜力和对该领域的热情等实践与个人原因，对学习大数据抱有兴趣；学生表达的主要期望是通过实践活动提升大数据相关知识；所有学生均意识到与安全和隐私相关的潜在伦理威胁，而计算机科学专业学生还意识到在数据获取与分析过程中可能引入偏差，以及数据被滥用的可能性。
英文摘要：
The study investigates students' interest and expectations in a Big Data Engineering course integrated with a Master curricula, as well as ethical implications of using Big Data. An anonymous online survey was conducted with 42 of the 67 students enrolled in the Big Data course offered to Computer Science and Bioinformatics Master's programs. The responses were analyzed and interpreted using thematic analysis, highlighting interesting aspects related to students' expectations, interest, and their perspective of the ethical implications of working with Big Data. The study concludes that, even though there is significant difference in students' background, the majority are interested in learning Big Data, for practical and personal reasons related to the potential for career growth and their passion for the field. The main expectation expressed is related to enhancing their knowledge related to Big Data via practical activities. All students demonstrate awareness of potential ethical threats related to security and privacy, while Computer Science students are aware of the possibility of introducing bias in data during acquisition and analysis and of potential abusive data usage.
