Batoi Research Group 
As per the report submitted by Marketsandmarkets, the global market size AI is expected to touch $58.3 billion in 2021 and be worth $309.6 billion by 2026 at a CAGR of 39.7% across various industries, including e-learning domains.
Leaving no stone unturned, AI has become a significant element of our daily lives. From social media and smart sensors to face recognition and virtual assistant, machine learning and artificial intelligence are converging to make life easier and more comfortable.
Similarly, AI is transforming the realm of education at the speed of cosmic rays and replacing traditional techniques in a fraction of seconds. Deploying AI in the education world, academics have noted a more personalized work-frame and consequently revolutionizing the e-learning area.
In this discussion, we will know the impact of Artificial Intelligence on the education world and the transformation of conventional education methods to advanced e-learning platforms.
AI and E-learning: Change in Education Industry
During the COVID-19 phase, people have adopted online education more prominently, now continuing with the trend that they can access education material just by clicking on mobile and laptop.
Having a good connection/source of the internet and a computer system, students can join classes virtually. Many other similar examples are there that demonstrate the great transformation provided by AI in the education domain.
Here are the five possible ways through which AI can change e-learning platforms:
Smart Content and Content Analytics
What simply is smart content- digitized manuals, guides, tailored learning interfaces, digitized curriculums, audio, videos, online assistant, tutorials, virtual instructors. Smart content has become an impeccable part of e-learning platforms.
Now, educationalists can gain significant insights concerning learners’ progress via smart content analytics. Even the content to be taught has become optimized content in terms of learners.
Gone are the days when students and parents had to perturb to afford a good education. With the massive augmentation in intelligence, students now can take up study material/courses on the internet at a minimal cost.
Multiple IT companies and educators are combinedly leveraging machine learning and AI technology to automate the process cost-effectively and serve the best education to the needy/underprivileged.
Personalized Learning
One of the great experiences or advantages that e-learning provides is a personalized learning experience. It enables educators to share digital content or study material with different learners.
Put simply, an educator can instruct learners, provide training to them at a time, but here is the fact to consider that “different learners acquire knowledge at a different pace.” And thereby, educators become more conscious before distributing content among learners.
AI is a vital technology here to analyze the past performance of learners and understand their learning style and pace. This information assists in making significant changes in learning material according to learners before distributing it to them, i.e., a personalized learning experience.
Moreover, AI systems serve as a stimulator of a particular program to help and motivate learners, suggest them conduct specific tasks, provide suggestions and feedback according to performance or work delivered, and many more.
Virtual Assistance as Tutors
Sometimes, students encounter difficulties clarifying a specific subject matter while conducting a course/lesson. In contrast, some students can seek solutions during the course conduction, but some do not.
Incorporating AI into learning programs makes the best option to overcome such obstacles- gain simplification anytime at their own convenience. With AI, students could ask questions and get immediate answers.
Proposing chatbots as virtual assistants, AI models support learners to connect with concerned authorities and resolve their queries in a few minutes. Through AI, assessment becomes easier as students process their questions in real-time to accelerate learning.
For example, intelligent chatbots could decide “what to ask” based on students’ previous questions-answers. Let’s say, to improve their learning:
- Including more questionnaires in areas where students have given incorrect answers, or
- Increment in ranking if students give correct answers constantly.
Compiling every basic information, AI algorithms analyze and respond to conversational messages (questions) and help students as well as educators by presenting course material more simply.
Chatbots become student guides to support them in different ways- suggesting relevant learning resources depending on their profile and course of interest and reducing time and efforts.
Smart Assessment and Grading
Since every student is different and has different learning curves, it is undoubtedly unfavorable to put all of them under the same grading system.
With the inclusion of AI, this won’t longer be a problem anymore. AI brings suitable ways to assess students. With adaptive testing, the instructor and professor can educate and monitor students’ progress precisely and compute their skills and education beyond the grades they have secured marks in academic examinations.
Many companies are adopting the simple automation of grading, and they are implementing software to determine plagiarism in students’ submissions.
As the field of AI is developing further, we will be witnessing more automation of complex tasks. For example, assessment of submissions- essays or presentations and accordingly providing feedback to students, some insights or points to help them improve.
Course Creation in Less Time
E-learning professionals and subject matter experts account for a long time in order to create extensive course content for learners’ cravings.
To overcome this difficulty, well-trained AI systems can aid in extracting valuable inference and interpreting that information for providing smart content to facilitate digital learning.
A well-versed AI model allows educationalists to meticulously craft more engaging digital content and improve learners’ learning experience. However, it is pretty challenging to take an e-learning course as part of digital learning. It demands great expertise in programming skills, domain knowledge, and subject proficiency.
As the AI is in the continuum to expand, it is aimed to integrate all necessary skills to deliver persuasive digital content and study material.
In the last, it is must to say that e-learning can hugely be facilitated when integrated with appropriate AI systems.
