What do Big Data mean?
Big data is a commonly used term in the field of engineering and computer science. However, the usage of big data is not limited to these two fields only. Data either big or small can find in any industry; therefore, all the sectors must know the term
Big data is use to describe a large quantity of constantly increasing groups of data that has been collected by all types of operating organizations. Data analysts, engineers, and scientists use different approaches like quantitative and qualitative to extract, scrutinize, and structure the collection of usage of big data. (Chai, n.d.)
This collected data is find in multiple forms, for example;
- Scattered data
- Structured data
- Unstructured data
This gathered data is typically use to gain insights that allow managers to make informed decisions. The information collected from the refined usage of big data enables the leaders and organizations to forecast the upcoming trends, risks, and potential solutions.
The data analysts usually predict the forthcomings by learning people’s behavior, observation, and then forming new solutions that bring development and enhancement in decision making.
Big Data in Education
Although the above definition of big data explicitly delineates the significance of data analytics in every industry, it is notable how the field is markedly making progress in the educational sector and making drastic modifications.
These modifications are use to reshape the academic sector and alter the conventional methods that had been followed for decades. With these changes, the overall experience of both students and professors can be improved and made open to further developments.
How big data helps in education?
Big data in the educational sector can benefit the universities and colleges to transform their occupational models, pupils’ academic outcomes, and professors’ effectiveness.
Furthermore, the technical understanding and acumen gathered from data analysis can assist educational institutions to improve their technological systems.
For realizing this change, the fundamental element is the instructors and professors who with their knowledge of data science and analytics can impart the understanding to the students and to the institute itself.
These understandings can also lead the institute to decipher the percentage of students needing assignment help and thus act accordingly.
How is big data in education included?
A single institute offering multiple undergraduate and post-graduate courses generates tons of data annually that includes:
- Course details of each faculty being offered
- Enrollment and completion year of all the students
- Student IDs
- Exam grades of all students
- Assessment details of all students
Not only the students, but educational institutes also have to gather the usage of big data of their instructors as well. For example;
- Effectiveness in teaching
- Annual turnover
All this data has to be organize systematically so it can be used in a lucrative manner. (Christos Vaitsis, 2015)
How big data improves education?
Data analysis can prove to be the most proliferating investment. There are numerous areas where data analysis helps educational institutions to improvise their experience for the students and the instructors. For example; (Sharma, 2021)
Enhanced Academic outcome
Students’ outcomes can be evaluate easily by collecting and using the data effectively. Although the widely use method of assessing a student is by their grades achieve, data analysis enables the professors to use different means to gauge a candidate’s dexterity.
These means help the instructors to understand the student behavior and modify their teaching methods accordingly. With the help of big data following information can be collect from the students:
- Time allotted to study
- Sources used for self-study
- Topics that are consider unimportant
- Topics that are consider highly important
- Questions failed to answer
- Questions answered successfully
This information is much more important and proves to be useful for authentic feedback on students’ performance. The same data can be use to figure out the number of students using ‘write my dissertation UK formatted online.
Understanding student’s behavior
A very advanced level of data analytics allows the users to understand the behaviors of the subject in observation by detecting their facial expressions, body movement and language, eye contact, and even the objects they touch during the lecture.
Although this is a very high level of science, if the institutes have hands on this, can use it to understand the interests of students.
Thus, altering the teaching methods accordingly to build more student engagement and create a good teacher-student relationship.
Data analysis does not only revolve around students but also the teachers and professors hired in an institute. Like gauging the performance of students, data analysis also helps in measuring the efficiency of the professors. For example; (Maryville, n.d.)
- Teaching criteria
- Sources used to teach
- Methods of teaching (written or visual)
- Number of students wanting to enroll in a specific teachers’ class
- Number of classes taught by a professor
This information provides crucial information that enables the faculty team to alter and adjust their instruction method as the need may be.
Big data analysis helps immensely in empowering the faculty team by developing awareness and literacy for technology and digitalization. Data analysis also allows the professors to form customized prospectus and syllabus for the students using online resources, textbooks, e-books, and different software programs and applications.
The current era is the era of digitization, the world is moving towards artificial intelligence forming technologies like the Internet of Things like Alexa and Google Assistants.
These technological advancements and inventions facilitate greatly to form individualized learning to improve student results, upgrade student and professor experiences, and increase student engagement.
Moreover, these scientific and hi-tech innovations can work as a catalyst and influence further growth of big data analysis helping and assisting the educational sector to flourish and modify according to the needs of the students and professors.
Future Benefits of Big Data Analysis
Through big data analysis, instructors can figure out areas where students face difficulties and have to struggle to understand the basics.
This enables the professors to learn the individual needs of students, and form such tactics advocating individualistic learning.
It also allows students to choose their careers paths by providing them in-depth insights into each sectors scope and growth in the future.