Generative AI tools are advancing in eLearning design.If there is one company that has made a lot of progress in the past two years and has caused a lot of excitement in different industries, it is OpenAI.
At first, it was a research laboratory. But now, it consists of two parts: the non-profit OpenAI Incorporated and the for-profit OpenAI Limited Partnership.
When ChatGPT was first released, many people were curious about it. Teachers also noticed that it could be a simple way for students to finish their homework.
Today, ChatGPT is widely used because it has improved and become more powerful over time. Creative individuals who write advertising materials, stressed managers who use it to make reports, students who use it to complete assignments, fitness enthusiasts who use it to create workout plans, programmers who use it to create and improve code, and many others are all using it.
In this article, we will explore how artificial intelligence tools can cause a big change in the way eLearning is designed.
Quick History Of Generative AI
Generative AI comes from Machine Learning and predictive statistical tools that analyze data to forecast future trends. From around 2010, companies and research labs tried out various models.
However, it was in 2018 when OpenAI made the biggest progress by introducing the first GPT as a Large Language Model or LLM.
A GPT model is a type of computer program that has been trained on a lot of information and can give responses to questions or prompts.
Microsoft and Google have created their own AI tools. Microsoft’s tool is called Bing AI and Google’s tool is called Bard. Anthropic, a company with support from Google, has introduced a new AI assistant called Claude.
In the coming years, many companies will create their own AI tools that use generative technology to help various industries. It will be a thrilling time with lots of new developments.
eLearning Design And Generative AI
eLearning design, writing, and creative design are all based on personal opinions rather than on facts. If you ask two different organizations to create an online course on the same topic, they will probably make two very different courses.
The difficulties in making eLearning design interesting haven’t changed, even though technology has improved in the past 20 years. Students want clear and straightforward study material that helps them succeed in their academic or work-related objectives.
Sometimes, when people try to give too much information or make a better User Experience, they forget the main goal of the eLearning program.
As a result, the learners end up with a low-quality product that doesn’t help anyone. Here, we will provide a list of design tools that use artificial intelligence (AI) to help creative designers in various fields.
Instructional Design and Generative AI Tools
VisualEyes is a computer program that helps people with design work. It gives feedback on designs right away.
Khroma is a tool that uses artificial intelligence to create a collection of colors for users to use in their designs.
Scribble Diffusion is a special tool that uses artificial intelligence to turn simple drawings into very detailed pictures.
AI-powered writing tools have been available for quite a while. Jasper AI, Copy AI, and Writesonic have been popular tools for writing. Grammarly is a popular tool that helps people write English without mistakes.
The free version of the tool is very helpful. A paid version allows you to use the tool without any limitations and gives you a thorough check for grammar in your writing.
ChatGPT, Bard, and Bing AI are useful for creating scripts, writing specific copies, or designing the initial version of a longer essay.
How well the content turns out when using these tools mainly depends on the instructions given to them. The field of engineering will become its own important subject as more AI tools and chatbots become available.
Instructional Designers should keep in mind that ChatGPT or similar tools should be seen as helpful friends who can provide suggestions and ideas. In simple terms, it is up to the writer to decide what they want to use and how to improve the content using these tools.
Besides using AI tools to create images or rephrase content, Instructional Designers can utilize ChatGPT to plan the structure of a learning module, set goals, and create suitable questions for the intended audience.
Here are some topics that Instructional Designers can look into. It is important to check and verify the content created by these tools before using it in the eLearning program.
eLearning Designers And their AI Needs
It would be simple to give the computer a learning request and receive a detailed plan for an online course. This plan could then be given to the design team to create. If this happens, many people might lose their jobs because anyone with ChatGPT access could claim to be a writer and create content.
As more and more writing tools that use AI are developed, there will also be tools that use AI to detect plagiarism and tell the difference between content written by humans and content generated by machines. Tech companies will see this as a valuable opportunity for their business.
eLearning designers would like to have a tool that tests course outlines or storyboards and tells them which storyboard, when turned into a course, will help students stay more interested and remember what they learn.
This, together with information from previous courses, will help designers improve current courses and create better eLearning material.
A couple of years ago, blockchain was a trendy word in the tech world. Nowadays, everyone is using ChatGPT and generative AI.
Every few years, there is a new technology that everyone talks about and is said to be a big deal. For ChatGPT, people have been interested in it for a long time.
It will be exciting to see which company releases the first artificial intelligence-based eLearning course-creation tool that includes everything needed.
The moral considerations of using these tools are still not taken care of, and in the future, there will be new jobs in tech companies that will make sure whether something is made by AI or humans.
In the upcoming years, many companies in the digital learning industry will be eager to gain a portion of the AI-powered learning market.