Big Data from a Student’s Perspective
Main Article Content
Abstract
The Industry Revolution 4.0, or simply “Industry 4.0”, marks the next paradigm shift in mechanized and automized work in a global economy. Digital entities such as the Internet of Things (IoT), Artificial Intelligence and Big Data are one of many building blocks that pave the way for Industry 4.0. As a student, realizing the need to incorporate Industry 4.0 concepts into our curricula and equipping ourselves with the necessary skillsets while working in tandem with higher education institutions is key in being an Industry 4.0 ready graduate. This article brings forward several key competency areas a creative worker should possess, and reviews how big data, a key component under the umbrella term “Industry 4.0” brings value and enhancements to students. Big data can be used to manage students from monitoring their academic involvement to predicting behavioral aspects. Furthermore, big data and among other Industry 4.0 components sees the emergence of a new type of learning environment called learning factories, where Industry 4.0 concepts are fully integrated within the curriculum on a physical, hands-on setting. Ultimately, big data stimulates research collaboration through data sharing and using developed computational tools to disseminate data, enabling primary research to impart higher accuracy data interpretation.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.