7 ways to help big data in the development of the education sector

The use of big data to change most of the areas fundamentally, education is one of the most prominent areas which are affected by this change, in recent years; managed educational institutions – from primary schools, and Secondary up to universities, and providers of educational services via the internet – from the compilation, use, and share data easily and more quickly than ever before.

The term big data to massive amounts of different information that are difficult to collect and evaluate through traditional techniques. In addition, they are characterized by the need for fast processing, so that it can be presented and the common points, attitudes, and patterns in the behavior of the target group. In the education sector; to improve data to have a significant impact on all employees, starting from teachers, students, and even coaches on leadership and management.

Receive any educational institution a great deal of Information Daily, where you get the details about attendance and participation, the results of the tests, as the students evaluate the professors, and the details of their socio-economic status, participating the level of their satisfaction with the education they receive, and through the practical methods of data collection and analysis, educational institutions can begin to provide a more personalized teaching.

The following are 7 ways to help big data in the development of the education sector:

1 – analytics data to enhance the effectiveness of learning:

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Receive on a daily all types of data Student, such as: attendance data, test results, and personal information, health issues, and learning difficulties, the types of questions that ask the student frequently, and other types of information.

Analysis of these data gradually, until it is able to adjust the learning process according to the needs of the student, this is the style of Education ad hoc Personalized Learning, a curriculum designed to customize learning according to strengths of each student’s needs, skills and interests, and build on that each student gets a learning plan based on what he knows and how they learn best.

Education leads to greater participation of the student, it also helps to aid in the understanding of the level of each individual student, which helps him to provide guidance, and instructions are appropriate, and additional resources to improve the academic level of the students. It also helps the teacher to experience different methods of teaching and testing the student, enabling it to discover the most appropriate method and starts in its application in order to achieve better results.

2. universities will be more active in international recruitment:

Have all the University of an enormous amount of data from previous applications. Through analysis of these data, can be third of employment that belong to the countries and universities that send the best applicants, and this in turn will help recruiters improve the effectiveness of the recruitment process.

In addition to that; can the Office of recruitment university the analysis of student data on a global level, they can determine the countries that students have a high potential to the best.

3 – big data help students determine career goals:

Can the teacher or supervisor of data analysis to create a performance report, and if it turns out that this student is a talented artist, the report will recommend the exercise of a profession in this area.

That’s what it’s for consultants, professionals exactly, but they are accustomed to the use of the results after several interviews, and assessments of the row. Now; they have access to big data that will appear to the student a talented artist in addition to he’s good at math and physics also, according to this example: would be the field of architecture is most suitable for him, thus the recommendation would be more specific.

4. the universities can limit the number of students who leave their studies:

Let’s say that a professor wants to know the number of students who have used the sites Service to write reports on their behalf, and certainly will not provide survey or interview data to be reliable. Where will not admit any student purchased content ready of these sites. In this case; professor of the committee to the analyses of the data.

It can for example; use the tool Google Keyword Planner to see the results of a search terms related. And what is the number of students from that City who are looking for a phrase such as: “write an essay for me” on Google.

How can the professor to include other types of data in this analysis such as: as the number of students who are late in submitting the project? Attendance, and how comparable the support of the other? What about drop-out rates of the students of this state? Professor could compare these data with previous years and identify the negative stress that makes students leave the study.

This information will help the professors and colleges to identify reasons for leaving the study, and then they can provide assistance through the inclusion of practical solutions to this problem in their homes, the academy, and they can also renew software training course to make them more attractive.

5 – Student Assessment more accurately:

Some students can’t write well, but they are adept at solving practical problems, and some suffer from extreme anxiety of tests, which does not allow them to submit their best during the test.

Can Big Data change all that; it will not depend only on tests and papers when grading, but they can also rely on the notes. Where are watching the position in the chapter add relevant data in real time on the dashboards of their own. They track student progress from all sides, so the teacher can assess the students more realistically reflects the level of their real.

6. improve decision-making processes:

Can big data and technologies that help schools and universities in the analysis of results issued from different quarters, and forecasting trends, to promote methods of teaching, instead of trying to think of the reasons why students do not are making progress, they will search the data and identify factors minute. And after that; they will make changes increase the obstacles and learners to move forward.

7 – to improve student outcomes:

All data obtained by the teachers, offer them an insight about the behavior of the student in the long run, they can put their scores in algorithm analysis to understand the factors that affect them.

The results of the test is not the only indicator of success, where the teacher can also monitor the amount of time that a student needs to answer the questions, and it can happen to the kinds of questions that cause a problem for students, in addition, can be compared to the process of preparation between the students, identify the types of sources used by students the most successful, and then he can recommend with similar preparation to the entire class.

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