Big data in education sector proves to be of great help. Educators, stakeholders, and decision-makers are leveraging data analytics to help with the smoother functioning of the educational institution. The benefits of big data in education depend on how you are using it. Be that as it may, here are a few affordances of big data.

Challenges of Big Data in Education

Ensuring Data Flow: Big data analytics requires a constant flow of data. Poorly integrated data systems and poor internet connectivity might prove to be a hindrance when it comes to a constant data flow. Also, using poorly formatted data might lead to improper outcomes.

Maintaining Privacy: Many are concerned about the privacy of data that is being collected, not just about every student but also their families. Surely, data is vulnerable and there is a risk of it being hacked or compromised. There is a fear that the management and IT will not be able to protect this data. No monetary can replace personal details that can be used for doing wrong to the students.

Storage and Scalability: The rate at which data is being collected and used goes beyond Big Data’s processing abilities. Often the system can slow down or crash. Even though it is a temporary problem, it can affect the quality of the outcomes and the analysis on a whole. So, educational institutions need to come up with a plan for better scalability. Also, data has to be stored in a safe space to be used in the future.

Training and Educating the Educators: One challenge of big data application in the education sector is educating and training the educators. It is important that all educators and teachers cooperate. Without proper training, it can be difficult to handle and use big data analytics.

Data Errors: No doubt, big data deals with a large amount of data. Every institution has thousands of students. But maintaining multiple datasets of the students across various categories might lead to mistakes or errors. Correcting these mistakes can be expensive. Once tampered with might require the institute to replace it with a new set of data.