Students' Perception of Big Data Engineering in Higher Education Curricula: Expectations, Interest and Ethical Implications

📅 2026-09-04
📈 Citations: 0
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🤖 AI Summary
研究通过在线调查分析了学生对大数据课程的兴趣、期望及伦理看法,发现大多数学生出于职业发展和个人兴趣希望增加实践性学习,并意识到数据安全、隐私和偏见等问题。
📝 Abstract
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.
Problem

Research questions and friction points this paper is trying to address.

Big Data Engineering
Higher Education Curricula
Ethical Implications
Student Perception
Innovation

Methods, ideas, or system contributions that make the work stand out.

Big Data Engineering
Ethical Implications
Student Expectations
Thematic Analysis
Career Growth
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I
Ioana-Georgiana Ciuciu
Faculty of Mathematics and Computer Science, Babes-Bolyai University, Cluj-Napoca, Romania
M
Manuela-Andreea Petrescu
Faculty of Mathematics and Computer Science, Babes-Bolyai University, Cluj-Napoca, Romania