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Top 5 benefits of Natural Language Processing in education

By transforming existing training frameworks, the application of NLP in education allows educators to accentuate their teaching capabilities, optimize time, increase reachability and thereby realize higher monetary gains.

Natural Language Processing (NLP) is steadily changing the face of learning systems. The recurring COVID-19 pandemic has only given thrust to the use of intelligent ecosystems for remote learning, with NLP playing a crucial role in driving these developments.

The World Economic Forum (WEF) evaluated that the online education market, which was just 18.66 billion dollars before the pandemic took the world by storm, will reach a staggering 350 billion dollars by 2025. And as per Forbes, by 2024, artificial intelligence (AI) will be part of 47% of digital education tools.

A significant component of these intelligent e-learning systems is conversational AI, which streamlines communication facilitating natural dialogue between learners and teaching systems. The bedrock of conversational AI, NLP in teaching allows conversational AI to recognize queries from students, and matures with time to deliver responses imitating that of human teachers.

In this blog, we will discuss the most crucial benefits of NLP in teaching and education in detail. Here we begin.

What are the top 5 benefits of NLP in education?

Fast realizing the importance of the role of NLP in education can allow educators to derive long-term strategic and operational benefits. Detailed below are the top 5 benefits of using natural language processing for enhancing teaching and learning.

1. Resource accessibility

With traditional learning systems, students have to search for good tutors, while educators have to wait till they have an adequate number of students in the classroom. NLP bridges the resource accessibility gap by helping develop sessions that can be conducted and accessed remotely.

NLP applications in education help educators to easily scale their digital learning platforms and thereby increase the number of engagements, because the set-up doesn’t demand any heavy infrastructure at learners’ end. Learners have resources like chatbots that they can access easily to have a comfortable learning experience. Moreover, the feature to break long sessions into short parts gives students the comfort of learning at ease, which makes them not lose their focus throughout the learning journey.

2. Intelligent teaching systems

The application of AI in education transforms static teaching systems into dynamic, adaptable and intelligent teaching and learning environments that smartly adjust to changing requirements of learners. NLP-driven voice assistants are a great example. The concept is acquiring prominence, as an increasing number of people are looking to exploit digital learning for enhancing their skillsets. Based on the idea of providing personalized assistance, chatbots tailor programs based on the skill levels of the learner.

NLP powers Intelligent Tutoring Systems (ITSs) which has been acquiring prominence to building learning systems that can demonstrate each possible method of concept explanation. Leading universities like Carnegie Mellon have been rigorously exploiting NLP in building ITSs, as it helps build excellent one-on-one learning interaction channels.

3. Adaptable learning environments

Natural language Processing can capture communications that represent repetitive interactions like queries related to assignment submissions, courses, examinations etc with ease. Often ending up as mundane tasks for staff, these repetitive admin tasks can be efficiently handled using continuously evolving NLP-based solutions. This can allow educators to focus completely on core teaching activities.

As a performance improver, conversational AI makes learners interactively engage with teaching systems. They evaluate students through a variety of mediums such as pictures, videos and texts. NLP thus offers dynamism much desired in today’s teaching environments. Similarly, the chatbot improves the feedback mechanism to assist learners in quickly adopting the path to improvement.

4. Contextual assistance

In the real world, sometimes, it becomes difficult for teachers to address some specific requirements of learners. NLP comes with a solution to the issues. For example, NLP can help conceptualize solutions that efficiently allow educators to meet the needs of learners with disabilities. Similarly, it can work as a feeding system to supply data to deep learning algorithms that work with student’s psychometrics.

Optimum Data Analytics (ODA) has built Bindu, an intelligent assistant for visually impaired learners. Backed by robust natural language processing (NLP) mechanisms, Bindu works on speech recognition principles. With time, the solution evolves into a highly mature learning support system that allows learners to grasp invariably every single complexity in the study.

5. Ease of development

The best part of using NLP-based teaching solutions is that they do not demand heavy infrastructure and can be implemented in a short period. In fact, an educator can successfully leverage chatbots at just 10% of the cost of building a full-fledged e-learning platform.

With expert’s assistance at their disposal, educators can easily design and develop personalized interfaces. For instance, with ODA’s dedicated NLP framework, educators can avail optimally priced off-the-shelf as well as custom-developed e-learning systems. Effectively leveraging advanced entity analysis, topic-level sentiment analysis and query-driven categorization, these systems prove to be a one-stop solution to driving teaching.


The use of artificial intelligence in education sector is on the rise. With a strong urge to offer a personalized experience and seamless flexibility in learning, educators are discovering ways to develop smart e-learning environments. Digital teaching being a norm now, educators, however, cannot rule out the significant role natural language programming (NLP) plays in developing these digital channels.

Educators, therefore, need to prioritize their actions around NLP implementations to build bespoke structural frameworks.

You can collaborate with Optimum Data Analytics (ODA) to discover opportunities for transforming your existing teaching systems and revolutionize your training platforms. We bring strong expertise in implementing AI in education sector, with a proven experience of adding value through NLP for education and learning.

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