NLP in Education

NLP in Education: A Potential Game-Changer for Improving Learning and Assessment

The landscape of education is undergoing a paradigm shift, with educators across the globe adopting  novel techniques driven by the latest research findings. The traditional, rigid educational model that has been in existence for so many years is now giving way to a new system of learning where students and teachers actively participate and interact with each other. One such potential game changer is NLP in education. The applications of NLP are now transforming the world of education in ways that were previously impossible.

The NLP in education market size is expected to increase from USD 99 million to USD 228 million by 2028. (Source: Markets and Markets)

What is NLP in education?

  • NLP (Natural Language Processing) is a pivotal domain within the realm of artificial intelligence (AI). 

  • Its main objective is to equip computers with the capability to comprehend, manipulate, and generate human language. 

  • This transformative technology underpins the functionality of search engines, facilitates machine translation services, and powers voice-activated virtual assistants.

  • NLP in education emerges as a powerful tool for enhancing the scientific learning process. 

  • With natural language processing applications, schools and educational institutions can not only cultivate more effective language skills but also witness a notable elevation in academic performance. 

  • NLP is making a significant difference in the world of education.

Applications of NLP in education

There are several NLP in education applications which is why it has become an important tool in  teaching. It has proved to be really beneficial in the academic setting for students and teachers as well. NLP in education is already successfully implemented in several schools and institutes with positive outcomes.

Here are the applications of NLP in education.

Helps improve writing

  • NLP in education is being widely used to help students improve their writing.

  • If a student submits an essay or paragraph as a part of  the test or assignment, NLP-based software can analyze the text and make suitable recommendations for improvement.

  • Utilizing NLP analysis can offer insights into a student"s essay, revealing the presence or absence of vital elements like key themes, persuasive arguments, or supporting data. 

  • Additionally, NLP tools can provide constructive recommendations regarding the structural organization of the written piece.

Helps improve reading

  • There are several students in the classroom who struggle with reading.

  • This is where NLP in education can help. 

  • The NLP algorithms can quickly identify problems in the reading ability of a student and provide real-time, constructive feedback on how to improve.

  • Without NLP in education, a teacher would hardly get time to provide personalized feedback to each and every student in the class.

  • In addition to this, NLP in education can also help students to know which reading material (books) would best suit them.

Personalized learning

  • In today"s competitive world, personalized learning is the need of the hour.

  • One of the most significant ways in which NLP in education is transforming education is by enabling personalized learning for students.

  • NLP algorithms can be used to analyze large amounts of data pertaining to the performance of students and recommend tailor-made educational resources and activities.


  • Think of a question-answering model like a computer or robot that talks and listens. 

  • There are chatbots, which are like computer teachers that can answer questions just like if a student were having a chat with a friend. 

  • After that, the computer thinks and gives answers or checks what the student says using the question-answering model. 

  • It reads the answers back using a computer voice that can sound friendly and warm, just like a real person, to make the students feel comfortable.

  • All this is possible by the construction of chatbots through the power of AI and NLP.

Semantic analysis

  • Semantic analysis in NLP aims to understand language meaning by studying the structure of sentences, word interactions, and related concepts with computers. 

  • It uncovers the overall message and subject of text, as well as word significance.

  • Sentiment analysis, a part of NLP in education, uses machine learning to categorize text as positive, negative, neutral, or somewhere in between.

  • The analysis of NLP in education can help teachers gauge student response to teaching methodologies and changes in academic settings.

  • It assists in assessing curriculum effectiveness and identifying students facing challenges.

Motivating the learning

  • When it comes to teaching young minds, most teachers have their task cut out especially in motivating students to perform the tasks and learn in the classroom. 

  • Students have a short attention span and many usually go off the track while others follow. 

  • NLP in education can help teachers keep the students motivated and engaged in the classroom.

  • The implementation of NLP can help assess and analyze the language used between the teachers and students in the classroom setting.

  • With the help of analysis carried out by NLP, teachers can know whether their teaching methods and strategies are effective or not.

  • With NLP tools, teaching and learning both can be made more interactive and engaging.

  • By analyzing the behavior of students through NLP tools, teachers can understand which students need more focus and attention in the class.

Creation of readability formulas

  • Teachers can now use NLP analysis to create readability formulas, helping tailor reading materials to individual students by gauging vocabulary, text cohesion, and syntactic density. 

  • This aids instructors in predicting students" reading and comprehension rates accurately, benefiting a diverse range of readers and genres. 

  • Additionally, certain NLP in education systems incorporate text-simplification algorithms to adapt content for student audiences. 

The use of NLP in education is on the rise. The range of natural language processing applications offers flexibility in learning and transforms the learning environment. With digital teaching becoming a new normal after the COVID-19 pandemic, it is important for schools and teachers to build their teaching methodologies and frameworks around NLP.