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Chatbots: A Utility Tool for the Education Sector

 

Chatbots can bring revolution in the Educational Mobile Apps

The educational industry has experienced massive change due to the emergence of many online educational mobile apps for learners of every age. Schools also suggest online educational mobile apps to strengthen and supplement in-class sessions. The school mobile app is becoming a trend amongst the next generation students. More than referring to textbooks, children prefer video tutorials, mobile apps, and e-books in their studies. Children are becoming smarter & learning new skills way faster than they used to be in the previous generation. However, technology can be a boon or bane; it depends on how it is being utilized. When used sensibly, mobile apps can contribute to student progress on an enormous scale!

Research suggests that mobile educational apps' size is going to rise by a Compound annual growth rate of more than 27% by 2022, which marks it as one of the fastest-growing segments in mobile apps.

One of the main advantages of mobile apps is that they can be accessed anytime and anywhere globally through the internet. Since a lot of content is available online, one can master any subject irrespective of distance. It encourages students to take online quizzes, maintaining track of daily, weekly, or monthly study progress.

These Educational Mobile Apps can be improved by deploying AI-governed chatbots, which depend on natural language processing and native language generation to address certain aspects that existing mobile apps are missing.

Advantages of Chatbots in Mobile Apps

At an early age, students can depend on the chatbot to get answers that their parents or teachers may not have addressed.

If a child cannot ask a question in the classroom due to fear or mocking by a teacher or peer pressure, a chatbot quickly answers all students' problems.

Students can attend the same training multiple times and review the doubts and confusion to par with others.

Students can plan their courses to complete all topics much in advance through the chatbots.

After taking feedback from students, a chatbot can design a student portfolio to guide them in the best possible way.

Chatbots can also guide students regarding what courses they can take and help them enhance in specific areas of interest or get training from it.

Enthusiastic students can ask as many questions as possible to enhance their knowledge.

A chatbot can become a personal counselor to students at a crucial stage that may decide how they may develop their careers.

The actual working of Chatbots

The chatbots use Artificial Neural Networks, Machine Learning, and Natural Language Processing (NLP) to understand people. Computers can communicate with humans in their language and can scale other language-related tasks through Natural language. NLP also makes it possible for computers to hear speech, find the right response, interpret it, evaluate sentiment, determine which section is important, and read the Text. People can freely interact with chatbots by asking any question with the help of NLP.

There are two NLP processes: Natural Language Understanding (NLU) and Natural Language Generation (NLG). NLU is the capacity of the chatbot to understand a human. It is the process of converting Text into structured data for a machine to understand. NLG transforms structured data into Text.

There are a few primary steps in the NLP mechanism:

  •  Tokenize Text– splitting a sentence into different parts, words, or "tokens."
  •  Stopwords Removal – removing noise in the Text and stopping words such as a, an, is, am, etc.
  •  Part of speech tagging – decides which words are nouns, verbs, adverbs, adjectives, etc.
  •  Stemming & Lemmatization – converting the story to its meaningful base form and removing the last few characters.
  •  Named entity recognition – finds entities in the Text that the user has typed.
  •  Sentiment Analysis – the capability of the computer to recognize a user's emotions and mood.
  •  December, 14, 2020
  • Shreya Abhyankar
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