Connect with us

Artificial Intelligence (AI)

2020 eLearning Trends To Look Out For

eLearning Trends To Look Out For 2020. eLearning industries will associate this time with exponential growth for many years to come.

mm

Published

on

LMS eLearning Trends

The year 2020 has turned out to be a year packed full of surprises. As the world comes to a halt to overcome a global emergency, businesses across industries are experiencing the effects of a slowing economy.

With that said, specific industries will associate this time with exponential growth for many years to come. One such sector is the eLearning industry.

With people confined to their homes, the notion that the time of self-isolation is perfect for upskilling has become increasingly popular. Not to forget, even businesses that were previously hesitant to adapt to the eLearning revolution are embracing the technology with open arms.

These changes are sure to have an influence over the future of the eLearning industry as a whole. Some upcoming trends you should look out for are:

ELearning Trends LMS

1. Digitization Of Instructor-Led Training

The blended training model that combines self-paced learning and instructor-led training have been gaining a lot of traction in recent years. However, a classroom setting will become less and less common in the coming future, even after the imminent threat of the pandemic has passed us.

As a result, many of the instructors led classroom sessions will have to be turned into instructor-led virtual courses.

While this adoption to an utterly virtual training environment was already expected, the transition will be much more accelerated than it was happening in the past years.

2. Artificial Intelligence In Learning

Artificial intelligence is another trend that has been helping improve the engagement of learners in online training scenarios. This impact is expected to be felt more evidently in the coming months and years.

As AI-powered chatbots integrated with learning management systems (LMS) become a more and more accepted part of learning management systems. As technology improves, AI is expected to act as an on-demand instructor for future learners, solving queries, and giving explanations in real-time.

Moreover, by combining the technology with others such as machine learning and data analytics, AI will be able to craft customized learning paths and branching scenarios catered to the unique strengths and weaknesses of the learners.

3. The Return Of Content Curation

Content curation is set to make a comeback as it becomes increasingly normal to use user-generated content in course materials. From TED talks to YouTube instructional videos, course creators are starting to understand that there is nothing wrong with using user-generated content as long as it is brilliant.

For instance, when a YouTube tutorial is used in a course, the instructional designer gets to add great content to their class. The Youtuber gets paid and gets recognition amoungst everyone that consumes the course. Finally, the learner receives access to cutting-edge training content.

It’s a win-win situation for all involved parties. With that said, if not used carefully, user-generated content has the potential to make your course curriculum confusing.

Online Learning Effective

4. The Rise Of LXPs

Learning experience platforms are a step ahead of learning management systems. The platforms solve one of the most pressing L&D challenges, engaging learners.

Combining the powers of  an authoring tool and a learning management system, LXPs deliver a personalized experience to the learners, geared towards addressing their shortcomings and refining their strengths.

The best part is, these new systems are already compatible with almost all the existing content formats, including videos, microlearning, podcasts, and much more.

Conclusion

The future of online learning seems bright, despite the dark conditions prevailing in the world right now. As these technologies (and many others) make learning more accessible, the online training industry is set to get much more competitive and lucrative at the same time.

We are an Instructor's, Modern Full Stack Web Application Developers, Freelancers, Tech Bloggers, and Technical SEO Experts. We deliver a rich set of software applications for your business needs.

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

Artificial Intelligence (AI)

How to Apply Artificial Intelligence in Chat Filters

In this article, we shall discuss how to apply Artificial Intelligence (AI) in chat filters. If you are building a chat room, you need to create a chat filter to remove offensive words from the conversation.

mm

Published

on

Top 10 Startups In India That Use Ai To Solve Daily Problems

In this article, we shall discuss how to apply Artificial Intelligence (AI) in chat filters.

If you are building a chat room, you need to create a chat filter to remove offensive words from the conversation. A chat filter is a script commonly used in chat rooms for automatically scanning the users’ comments. This process starts immediately after posting the comments, and filters remove or censor inappropriate words. These filters also decide the flow of the chat in a conversation.

Suppose you want to make a Career in Artificial Intelligence. In that case, you should have a strong foundation of statistics and mathematics, one programming language, preferably Python, and the fundamentals of machine learning and its various algorithms. It would help you to start a career in AI.

The people who are already in the AI and related industries can pursue the AI Program Leader. It will help them upgrade themselves to the latest trends and technologies related to AI and machine learning.

Career in Artificial Intelligence Programming

Image Credit: geeksforgeeks

As technology is advancing with time, the application of AI is increasing in every domain. Human beings capabilities like understanding the complexities of various languages, computer vision, speech, and building new intelligent ideas are now possible using AI technology. For that, we have to update with the latest developments in AI and its advanced areas.

Here, we will discuss the application of Artificial Intelligence in chatbot filters.

There are two categories of chat filters used in chat rooms or internet forums – the basic and advanced chatbot filters. The basic bot filters scan only for particular strings of letters and censor them. It doesn’t take care of the meaning of those letters in the context of the sentence.

Advanced chatbot filters examine the letters or words in the sentence context, and hence, their filtering is more sophisticated. Some more advanced chatting filters use a regular expression to find and replace terms in a sentence.

1. Types of Chat Filters

There are five different types of chatbot filter:

Attribute: In this type of filter, you have to create your quality to create a rule.

Lifespan: In this type, the bot acts based on the lifespan value.

Score: Here, we use the confidence score value to choose the response that should allow the bot trigger.

Resolve Query: In this filter, the bot responds depending on the user’s input.

Trigger: Determine trigger to activate bot responses and actions.

These are the different filters that may apply to a chatbot. We can use multiple filters for a single response. A user can see the reactions only if they meet the criteria in the filter.

2. Need for Artificial Intelligence in Chat Filters

Artificial Intelligence changed the way we think about data. It changed the people’s paradigm about how we integrate information and analyze data, and based upon the data, how to improve the decision-making ability of machines. AI is already interfering with our day-to-day life. From Google search results recommendations to Apple’s virtual assistant Siri, we use AI in every aspect of life.

Typically most filters use a binary allow/disallow list, but we know that languages are not binary. They are complex and modulated.

In many older internet forums, some common swear words will be allowed based on context. One can build a regular expression or RegEx tool, and it can filter the string out of terms, but it cannot distinguish between some critical phrases. For that, we need to apply artificial intelligence and natural language processing in creating chat rooms.

3. Application of Natural Language Processing in Chat Filters

In the case of chatbot filters, we use natural language processing. NLP is a sub-domain of AI that deals with the interaction between computers and human language. It helps the filters process and analyses the vast amount of natural language data that results in a machine capable of understanding the available content more clearly.

One can program our chatbots to reply according to the context of the conversation and the data about the user. For example, one may ask the visitor whether he/she is a vegetarian or non-vegetarian and display the menu based upon the visitor’s reply using chat filters.

Application of Natural Language Processing in Chat Filters

Image Credit: chatbot.com

In another example, consider a situation where you want your bot to forward registered users to your website and the new visitors to a registration form. Then, we have to create a flow to check if the user is registered or not.

Application of Natural Language Processing in Chat Filters

Image Credit: chatbot.com

If a user clicks on yes, it shows him one kind of bot response and if he chooses no, it would lead to a different action. We can implement all this filtering in a chatbot by using NLP.

It is not easy for computers to understand the rules that dictate information passing using natural language processing. Sometimes these rules may be highly complex; for example, when we use a sarcastic remark to convey the message. On the other hand, sometimes there may be situations where these rules may be low-levelled; for example, one can use the character “s” for the plural form of the word.

To comprehensively understand the human language, one needs to know the language and how the terms are connected to the sentence to deliver the desired message.

NLP necessitates the algorithms to identify and extract the natural language rules for converting unstructured language data into structured language data. This is how AI and NLP are applied to chat filters.

Overall, we can say that artificial intelligence can make chatbot filters very easy and efficient. However, the techniques deployed in a particular scenario would vary case by case.

4. Frequently Asked Questions (FAQs)

a. What are the chatbots and chat filters?

Ans: Chatbots are software application for conducting an online conversation between humans and machines. It can be a text-based or text-to-speech-based system and can respond according to the user’s query.

A chat filter is used in a chatbot to censor the inappropriate words or sentences in a chat. Chat filters decide the flow of the conversation based on the user’s input.

b. What are Artificial Intelligence (AI) and Natural Language Processing (NLP)?

Ans: It can learn a specific task by a machine without explicitly programming for that task. AI systems are designed to make decisions by analyzing real-time data.

NLP is a subdomain of AI, specially programmed for interaction between humans and computers. Using NLP, a machine can read, decipher, understand, and make sense of a human language in such a practical manner.

c. How to apply AI into a chat filter?

Ans: Using a particular NLP algorithm, we can apply artificial intelligence into chat filters to smooth the undesirable content in a chat. There are different ways in which we can control the flow of the conversation in a chat room.

Continue Reading
Advertisement
Blockchain30 mins ago

Can Tokenization of Asset Bring More Investment From the Masses

Business17 hours ago

Top 3 Benefits of Transportation Management Software

Database3 days ago

Database Automation Techniques: The Tools One Should Use

Education3 days ago

How to Make an 11 Plus Preparation Plan That Works

Business1 week ago

How To Choose A Mail Service Provider For Your Business

Computer1 week ago

A Brief Guide To Computer Software

Business1 week ago

Why Hiring a Forex Broker is Important

Gadgets2 weeks ago

How Do You Install An Outdoor Stereo System?

Workforce2 weeks ago

What is the Hybrid Work Model, and What are its Advantages?

TwinzTech2 weeks ago

How Your Business Can Benefit From Hiring Freelance Workers

Advertisement

Trending