Big Data or macro data is currently the most valuable information that a company or institution has. For a few years, their analysis has been increasingly recurrent and is a relevant factor when making decisions with important implications in many areas of society.
What is the big data?
Although Big Data is a recurring term when talking about technology and digitization, its involvement in many areas of life is beginning to be relevant. Big Data refers to the management and analysis of huge volumes of data, which due to the magnitude of the information, exceed the capacity of data processing and must be treated in a special way .
The infrastructure and technology used in this analysis provide a solution to the processing of structured, unstructured or semi-structured data sets, such as: network messages, emails, survey data, etc.
The objective of Big Data is mainly one, to convert data into information that facilitates decision making . Its very specific characteristics are defined as the 5 Vs: Volume, Variety, Speed, Veracity and Value.
Uses of Big Data in everyday life
As users of technology and its increasing influence on society, we must prepare ourselves for the imminent participation that Big Data will have in our lives in a few years. Due to the intangible effect it will have on society and its impact to transform it, these are some reasons for its use:
New data: the Big Data analyzes that are generated have a large amount of information that was previously unknown. Much of the data is new content, which allows improving processes in actions of human life such as buying, providing a service, among others.
Value of information: it is possible to discover the value of Big Data, since when analyzing the data they have the ability to transform into new information. This leads to taking smart measures.
Projection of the future : due to the sophistication and depth of the data analysis, it will influence how we profile the future. The company may participate to prevent or correct future actions, avoiding unforeseen situations. With Big Data, predictive analyzes are carried out that seek answers to questions of relevant interest.
Currently, it is the marketing and sales area where it is being applied and developed with tangible results, since by analyzing these data, they serve to understand customers and know their preferences and behaviors.
In this way, prediction models can be defined about the “future tastes” of the consumer, in many areas.
And in virtual teaching, what implications does Big Data have?
In virtual teaching, Big Data contributes to achieving a more personalized and focused teaching to improve the teaching-learning process as well as the different methods used.
In virtual education, using the internet, the cloud, live streaming, social media, and other technology tools present new ways to deliver while increasing access to learning. With these interactions, a large amount of data is produced, the interpretation and analysis of which will allow the creation of personalized learning experiences.
This big data is produced or created by students while taking an online course or training module.
With Big Data, you can even innovate how content is delivered, improve student experiences, and create an environment that develops their skills.
Big data applied in virtual teaching can contribute to:
- Adapt and improve delivery through personalization of the student learning experience
- Standardize the presentation of content
- Understand how students assimilate information and what learning needs most appeal to them
- Identify the areas that need changes or modifications, such as time and content, among others
Identify the difficulties that students have during the course to provide opportunities to improve results.
- Reduce dropout rates
- Provide greater flexibility to the educational system, adapting it to the learning needs of students in the 21st century.
Data is received immediately, so changes can be quickly implemented to adjust the virtual teaching strategy . Online education will continue to undergo changes in the coming years, and there is no doubt that many of them will be due to Big Data.