Data is considered the “new oil” for most industries, and the education industry is no different. There are several advantages of using Big Data in Education. Learning analytics enhances Education’s future and affects the services you provide at your language center when implemented correctly.


Big Data in Education aims to improve students’ academic results. In Education, big data refers to real-time data analysis that allows for the best possible learning for the pupil. It also aids in comprehending each student’s behavior.

The following are examples of data that can be captured:


    1. How long does it take a pupil to respond to a question?

    1. What are the sources?

    1. What are the unanswered questions?

    1. If the content items taught engaging?

These are only a few examples; the list is endless! 

One of the most significant advantages is acquiring data quickly and automatically. As a result, pupils receive fast feedback and learn about each one’s strengths and limitations thanks to the algorithms. This level of accuracy and speed helps teachers and organizations identify their student’s individual needs to inspire them and prevent them from giving up.

In the sphere of Education, Big Data technologies constitute a true revolution. An increasing number of centers are implementing them to provide high-quality programming and enhance student results. It offers the opportunity to optimize programs to improve outcomes and avoid trial and error.


Personalizing Education

Using Big Data in Education allows educators to create customized curricula for each student. With teacher oversight, students may study at their speed. Furthermore, it is possible regardless of the number of pupils in the center. 

Imagine the possibilities in Africa, where the teacher-student ratio is one trained teacher per 58 students at the primary level. 

Unesco report published in 2021 states that high pupil-to-trained-teacher ratios indicate fewer face-to-face interaction time, less customized instruction, and inferior educational quality. If that weren’t enough, sub-Saharan Africa needs to recruit 15 million teachers to close its teacher gap by 2030. Technology and the proper tools can help teachers meet each student’s individual needs, interests, and goals. 


Developing Personalized Programs fueled by BigData Algorithms?

Using Big Data in Education allows educators to create customized curricula for each student.

Students may be observed during their learning process using Big Data techniques. For example, we can learn how they read the texts, what challenges them and what doesn’t, the time spent reading, how many questions they ask, how many times they click a link, etc.

Teachers can recognize the points in books or courses that need emphasis. The goal is to reach all of the kids’ needs to improve their academic performance.

Many educational institutions are banking on learning analytics. They’re implementing management tools that will allow them to automate operations and link student data.


Personalized learning may be vital for educators striving to deliver similar results for pupils.

Personalized learning has the potential to become driven by the lens of equity as its guiding aim. This goal may then enable Personalized learning strategies and instructional models to become instruments that can give all students equal access to information and skills at the appropriate grade level.

Although Personalized learning has the potential to be a valuable tool for promoting educational fairness, equity is not a component included in Personalized learning. The instructor who actively considers equality issues in their daily job is the only qualified to create personalized learning experiences for their pupils. No guarantee that just employing a plan based on station rotation would automatically result in more fair outcomes for pupils. Educators involved in this endeavor must consciously operate an equitable lens to provide students with a driving rationale for customizing their educational experiences, which will affect how they use the PL tools available to them to achieve that aim.

By looking at Personalized learning through the lens of equity, we can address some of the most prevalent concerns and highlight the new potential in the battle for educational justice.



We live in an extraordinary time! We are witnessing a shift in the industry from the ground up. I see this as an opportunity for all stakeholders to rethink educational approaches, technological developments, and business models. The Digital Shift is well upon us, and we must embrace it to stay relevant. 

I hope you enjoyed this series of articles, “The Future of English Language Teaching,” It gets you thinking more about putting the learner’s needs and experience at the heart of what you do and aligning it with your business objectives. 

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