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Chatbots Are Changing Education: Trends And Predictions

A variety of fields are changing via chatbots development, including education and online tutoring. Chatbots are becoming incredibly useful learning tools. Over the last few years, there has been massive hype on innovative tools to improve online learning, or offline education, through AI technology. 

Artificial Intelligence, in cooperation with educational institutes, make education personalized, easy and improves interaction. We’ve come across 7 ways how chatbots are changing education. 

We’ve come across 5 ways how chatbots are changing and influencing education and online learning. 

 

Essay and Test Scoring

Teachers are used testing to quickly check students’ results. A chatbot already can do this automatically and immediately convert the results into points. But it is known that the essay represents students’ level of knowledge better. It shows their fame of mind, methodology, and depth of knowledge. Soon will be implemented chatbots that can test and check essay quality (!). 

Proctoring

Some of the students are getting their points dishonestly. Especially when they have distance online learning. To avoid this, there are AIs created with online-proctoring space. Proctoring is a method that averts fraud during the exams. 

Student Feedback And Professor Assessment

It is very important to have the opportunity to leave feedback regarding the educational process. To improve teachers’ approach, control and coordinate with students. Don’t use the paper feedback form, express thoughts freely in messenger or a web widget.  AI provides anonymous and open feedback to teachers, managers, students, parents as well. 

Personalized Learning

AI helps to adapt the educational process according to student possibilities and the individual’s pace. Also, students can send the request to get additional help, tools, and requirements to proceed with learning. 

Spaced Interval Learning

This methodology learning means repeating the age-old lessons to avoid forgetting them. The same apps with AI are popular in learning languages. One of the most well-known offers to repeat lessons that were hard to learn. 

Have you ever met this AI in your online or offline learning? Does your school use these approaches to improve the educational process? 

 

If you want the chatbot for your business, feel free to contact us in the website contact form or write igor@chatbots.studio and we will schedule a demo in a few business days. 

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Chatbots.Studio is Robocopy’s Official Representative in Eastern Europe

Chatbot Summit is a great space for broadening horizons and making new friends as we did. This week we’re announcing a new partnership with Robocopy.io – a company that helps with copywriting, training and consultancy, to design conversations that make chatbots and voice assistants more helpful, natural and persuasive. 

What does mean our partnership? Chatbots.Studio has become a representative of Robocopy knowledge base – Conversation Design Courses (soon it will be in Russian, conducted by our team). 

A new day means new opportunities! 

 

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HTTP Methods and Webhooks

HTTP Methods and Webhooks: How Client-Server Interaction Works

Take all the best from the server!

During the lecture, you’ll learn the following:

  • HTTP methods in CRUD context
  • How, where and when to use HTTPs methods on the server
  • Status codes and their meaning
  • Introduction to webhooks

Enjoy your learning!

 

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Web development basics

In the first lesson, the student can learn how to build a very basic one-page website. This lesson is for you if you ever want to create simple chatbot, but also have no idea where to start. This is if you want a step by step overview on the basics.

No one can start learning web development without the right foundation. Learn these tips and let’s build the right basic chatbot together!

What will you learn from this lecture?

  • What is Node.js and it works?
  • How to initialize your Node.js project?
  • How to create “Hello world” Express.js server
  • Introduction to Express.js syntax

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Introduction

The Chatbot Development Process!

Chatbots.Studio created the course for developers and business owners to understand how to build chatbot in a  step by step manner.

Our chatbot developer shows you how to build conversational interfaces in messengers with a chatbot’s deep understanding of user intents and producing the relevant answer.

What will you take away from the course:

  • Recommendations for Node.js server and chatbot development
  • How to work with HTTP methods. What exactly is Webhook?
  • How to work with Git and GitFlow
  • What is .env? How to get the configuration for the local and production server.
  • How to work with MongoDB and Mongoose
  • Asynchrony in Node.js. Promises

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Stabilization Stage

The last part of the development process is stabilization. It is the stage when the system gets approved for deployment. The stabilizing phase conducts testing on a solution whose features are complete. The team focuses on resolving and triaging (prioritizing) bugs, environment defining and preparing the solution for release.

See in the video a detailed explanation for each of these activities.

Before implementation, we need to consider specific activities:

  • Define the launch approach
  • Execute conversational test cases and make the changes if applicable
  • Define specific environments for NLP Engine
  • Live agent training

 

See in the video a detailed explanation for each of these activities.

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Test Cases

The majority of the bots fail to recognize intents and thus respond appropriately to a user, so the creation of a correct test case to validate bot behavior is vital for project success. While developing standard positive and negative test cases, we invite you to consider the cases for dialog testing we presented in the video.   

 

See the next lesson Stabilization Stage

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Unit Tests. Onboarding Strategy

The outcome of the development stage is a software product that is ready for QA. In this chapter, we will focus on specific activities related to AI chatbot development. We would assume that the reader is familiar with industry standards in software development, and thus does not need to focus on that.

In this video, the speaker considers how to define a client’s onboarding strategy and unit tests. This provides some inspiration regarding possible sources in the video.

The bot architecture could be rather complex and it will have an integration with the many other systems that are generally connected via Rest APIs

One of the issues with such architecture is that the API could be changed and the user (bot or other system components) could not be notified about said change, and that could lead to issues that are hard to predict. That is specifically relevant when the component is not mature and its development is still in process.  

So our recommendation would be to cover the API with unit tests (in case you do not own it), so any issues related to changes in API could be quickly identified and addressed.

The majority of the bots fail to recognize intents and thus respond appropriately to a user, so the creation of a correct test case to validate bot behavior is vital for project success. While developing standard positive and negative test cases, we invite you to consider the cases for dialog testing we presented in video.  

 

See the next lesson Test Cases

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Technologies

Before chatbot development, there should be identified the NLP Engine, programming language, and database management system.

The full technical landscape is presented in the video. 

Conversational Engine component manages the conversational logic, maintain the session, route the conversation between interfaces. To play out these actions, developers could use the solutions Botkin, Botpress or use own by using the plain programming.

NLP Engine component defines intents (Natural Language Understanding), holds the context of the conversation. The possible solutions to implement mentioned actions are Luis, DialogFlow, Amazon Lex, Rasa.ai and Wit.ai.

Live agent component is a dedicated software which is used to handle the conversation takeover from the bot to real human. Such software should provide the interface for chatting with a user, history of conversation, the ability to support simultaneous conversation with several users and etc. FB, for example, has its own interface for live agents while unfortunately, it is lacking many enterprise features.

UI framework component presents a layer for the web bot and admin part. Angular and React are most commonly used options. If you are building web widget please you may use already existing components. We recommend our clients use https://telerik.com/conversational-ui

 

See the next lesson Unit Tests. Onboarding Strategy

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Decisions for AI

Everyone thinks that every chatbot includes Artificial Intelligence.  The one more important decision for envisioning is how much AI should be in the project.

In the video, the speaker explains in what cases the chatbot project should include or exclude Artificial Intelligence.

It could be a whole range starting from how pure the conversation is, the absence of limitations, all the way up to the free-flowing conversation.

The mixed chatbot has both – some controls and part of AI.

 

See the next lesson Technologies

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