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Agentic AI is reshaping e-learning with smarter, adaptive, and personalized education experiences.
Agentic AI is an emerging application of AI that goes beyond regular automation, allowing the system to learn, adapt, and make decisions on its own.
The way AI has changed the game for different industries is simply impeccable. AI not only introduces new automations to simplify the process, but it also makes the output more and more accurate.
What emerged as a way to support a user with basic tasks has certainly transformed into an integral part of planning and execution for several professions, including e-learning.
While generative AI has already left its mark on handling user requests, the world is now moving towards a newer phase of AI, Agentic AI.
If we talk about the market, people have already started using it to explore new ways to make e-learning more empowering and effective.
Wondering how?
Well, in this post, we will see the use cases of Agentic AI in education and e-learning, and how a mobile app development company can leverage this tech to improve the mobile learning experience for a user.
Introduction to Agentic AI: An Overview
Artificial Intelligence is one of the most impactful tech trends to have emerged over the last decade. Taking it a step further is the evolution of AI into Agentic AI.
You see, the evolution began with predictive AI that allowed users to create a forecast based on existing data, then came generative AI, which helped in creating any form of content, be it an image, code, text, or music.
Now, in the next phase, we have Agentic AI that can go beyond your regular AI automation and can help with an autonomous self-learning system to help with personalizing the learning experience as requested by the users.
Agentic AI uses reinforcement learning to understand the user’s pattern and adapt to the learner’s needs, which in turn helps in creating customized learning experiences that are more effective and tailored to optimize the learning path.
The way it is different from existing models of AI is that it does not depend on continuous user inputs/prompts. It has an unprecedented ability to handle a task on its own. It identifies the objectives of the task and autonomously completes them.
There are three key abilities that Agentic AIs bring along –
- Autonomy: Ability to manage and perform tasks autonomously, with zero user intervention.
- Decision Making: Agentic AI can analyze the available data to find the intent and accordingly make decisions.
- Adaptability: An Agentic AI system can learn from the patterns and adapt to the user’s requirements as per user feedback.
All these abilities can be used to bring the best out of an e-learning system. Check out the next section to learn more about how Agentic AI can be used to improve e-learning experiences.
How does Agentic AI work in E-Learning?
As mentioned above, the idea of Agentic AI is to make the interaction two-way, where a student can simply ask for assistance, and the AI is not dependent on multiple inputs to answer.
Generally, Agentic AI works in 3 steps to resolve a student’s query in an e-learning environment.
These steps are –
► Step 1 – Develop a Perception
With the help of the environment in which the Agentic AI is being used and the query that is being raised, the AI model creates a perception of a learner’s performance, feedback, and engagement. This allows it to be more direct with its assistance as it knows the intent behind the query.
► Step 2 – Analyze the Requirement
The requirement that is shared with Agentic AI are analyzed by the model. This data, when broken down, gives insights into the actual needs of the users, along with proper reasoning behind the approach.
A learner’s progress also plays an important role in this process as it helps in understanding the requirements.
► Step 3 – Take Calculated Actions
With the understanding of intent and requirements of the user, Agentic AI can take anticipated actions that allow it to be more adaptive in terms of adjusting the learning path, maintaining the right approach, suggesting the correct courses, and offering insights on the correct resource for finishing an assignment.
Through the course of these 3 steps, the Agentic AI keeps learning the patterns of the user that it is catering to. Based on these patterns, the outputs become more and more customized, giving your user a personalized experience.
Applications of Agentic AI in E-Learning
Agentic AI can significantly improve the e-learning experience with its ability to create a personalized experience for the learner. However, that is not it. It is capable of doing a lot more!
With the help of mobile applications that are specifically designed for e-learning, there are different ways Agentic AI can be put to use in improving the learning experience for users.
Here are some applications of Agentic AI in e-Learning:-
♦ Intelligent Tutoring Systems
With the help of Agentic AI, automated tutors are available 24/7. These tutors help solve doubts and can cater to any student, be it in any timezone, even beyond school hours. Genetic AI allows these tutors to be more aware of the intent and give better answers, resolving the issues effectively.
♦ Curriculum Development
Agentic AI can be of great help for teachers. It helps in building a curriculum that is effective for their students and can be executed autonomously. The idea is to focus on personalized content based on learner data, preferences, and path of learning.
♦ Enhanced Engagement
Allowing students to study on their own, the e-learning app that has Agentic AI makes the experience more engaging. The retention of the learner increases significantly, which improves the chances of a user completing their course and meeting the objective of the course.
♦ Adaptive LMS
Learning management systems allow an organization to take care of the user’s learning needs by automatically recommending the next module to study. With Agentic AI, the recommendations are highly personalized and autonomous, making the experience more personal and effective.
♦ Course Management
AI-powered content creation and management is already an existing trend that makes e-learning easy for a beginner. Agentic AI takes it up a notch by integrating and adapting learning material that caters to the users in personalized learning.
Other than these, Agentic AI can easily help in creating e-learning material that is personalized to your learning abilities, making it more and more interesting for you. The idea of interactive learning is the key aspect that Agentic AI can help you achieve.
Agentic AI in E- Learning: What’s Next?
The integration of Agentic AI in e-learning is inevitable, however, that may not be effective if not done in sync with your traditional learning methods.
Think about it, a sorted curriculum designed with the help of AI is being discussed through an online platform that allows you to interact with your peers for traditional discussion.
However, it is also clear that Agentic AI can help in building a dynamic and engaging e-learning environment that is easily accessible, helping AI to enhance the online education industry making it more productive, efficient, and student-oriented.
With Agentic AI taking over e-learning, it will be interesting to see how it all unfolds and what more it has to offer. Thanks for reading, good luck!
Agentic AI is an emerging application of AI that goes beyond regular automation, allowing the system to learn, adapt, and make decisions on its own.
The way AI has changed the game for different industries is simply impeccable. AI not only introduces new automations to simplify the process, but it also makes the output more and more accurate.
What emerged as a way to support a user with basic tasks has certainly transformed into an integral part of planning and execution for several professions, including e-learning.
While generative AI has already left its mark on handling user requests, the world is now moving towards a newer phase of AI, Agentic AI.
If we talk about the market, people have already started using it to explore new ways to make e-learning more empowering and effective.
Wondering how?
Well, in this post, we will see the use cases of Agentic AI in education and e-learning, and how a mobile app development company can leverage this tech to improve the mobile learning experience for a user.
Introduction to Agentic AI: An Overview
Artificial Intelligence is one of the most impactful tech trends to have emerged over the last decade. Taking it a step further is the evolution of AI into Agentic AI.
You see, the evolution began with predictive AI that allowed users to create a forecast based on existing data, then came generative AI, which helped in creating any form of content, be it an image, code, text, or music.
Now, in the next phase, we have Agentic AI that can go beyond your regular AI automation and can help with an autonomous self-learning system to help with personalizing the learning experience as requested by the users.
Agentic AI uses reinforcement learning to understand the user’s pattern and adapt to the learner’s needs, which in turn helps in creating customized learning experiences that are more effective and tailored to optimize the learning path.
The way it is different from existing models of AI is that it does not depend on continuous user inputs/prompts. It has an unprecedented ability to handle a task on its own. It identifies the objectives of the task and autonomously completes them.
There are three key abilities that Agentic AIs bring along –
- Autonomy: Ability to manage and perform tasks autonomously, with zero user intervention.
- Decision Making: Agentic AI can analyze the available data to find the intent and accordingly make decisions.
- Adaptability: An Agentic AI system can learn from the patterns and adapt to the user’s requirements as per user feedback.
All these abilities can be used to bring the best out of an e-learning system. Check out the next section to learn more about how Agentic AI can be used to improve e-learning experiences.
How does Agentic AI work in E-Learning?
As mentioned above, the idea of Agentic AI is to make the interaction two-way, where a student can simply ask for assistance, and the AI is not dependent on multiple inputs to answer.
Generally, Agentic AI works in 3 steps to resolve a student’s query in an e-learning environment.
These steps are –
► Step 1 – Develop a Perception
With the help of the environment in which the Agentic AI is being used and the query that is being raised, the AI model creates a perception of a learner’s performance, feedback, and engagement. This allows it to be more direct with its assistance as it knows the intent behind the query.
► Step 2 – Analyze the Requirement
The requirement that is shared with Agentic AI are analyzed by the model. This data, when broken down, gives insights into the actual needs of the users, along with proper reasoning behind the approach.
A learner’s progress also plays an important role in this process as it helps in understanding the requirements.
► Step 3 – Take Calculated Actions
With the understanding of intent and requirements of the user, Agentic AI can take anticipated actions that allow it to be more adaptive in terms of adjusting the learning path, maintaining the right approach, suggesting the correct courses, and offering insights on the correct resource for finishing an assignment.
Through the course of these 3 steps, the Agentic AI keeps learning the patterns of the user that it is catering to. Based on these patterns, the outputs become more and more customized, giving your user a personalized experience.
Applications of Agentic AI in E-Learning
Agentic AI can significantly improve the e-learning experience with its ability to create a personalized experience for the learner. However, that is not it. It is capable of doing a lot more!
With the help of mobile applications that are specifically designed for e-learning, there are different ways Agentic AI can be put to use in improving the learning experience for users.
Here are some applications of Agentic AI in e-Learning:-
♦ Intelligent Tutoring Systems
With the help of Agentic AI, automated tutors are available 24/7. These tutors help solve doubts and can cater to any student, be it in any timezone, even beyond school hours. Genetic AI allows these tutors to be more aware of the intent and give better answers, resolving the issues effectively.
♦ Curriculum Development
Agentic AI can be of great help for teachers. It helps in building a curriculum that is effective for their students and can be executed autonomously. The idea is to focus on personalized content based on learner data, preferences, and path of learning.
♦ Enhanced Engagement
Allowing students to study on their own, the e-learning app that has Agentic AI makes the experience more engaging. The retention of the learner increases significantly, which improves the chances of a user completing their course and meeting the objective of the course.
♦ Adaptive LMS
Learning management systems allow an organization to take care of the user’s learning needs by automatically recommending the next module to study. With Agentic AI, the recommendations are highly personalized and autonomous, making the experience more personal and effective.
♦ Course Management
AI-powered content creation and management is already an existing trend that makes e-learning easy for a beginner. Agentic AI takes it up a notch by integrating and adapting learning material that caters to the users in personalized learning.
Other than these, Agentic AI can easily help in creating e-learning material that is personalized to your learning abilities, making it more and more interesting for you. The idea of interactive learning is the key aspect that Agentic AI can help you achieve.
Agentic AI in E- Learning: What’s Next?
The integration of Agentic AI in e-learning is inevitable, however, that may not be effective if not done in sync with your traditional learning methods.
Think about it, a sorted curriculum designed with the help of AI is being discussed through an online platform that allows you to interact with your peers for traditional discussion.
However, it is also clear that Agentic AI can help in building a dynamic and engaging e-learning environment that is easily accessible, helping AI to enhance the online education industry making it more productive, efficient, and student-oriented.
With Agentic AI taking over e-learning, it will be interesting to see how it all unfolds and what more it has to offer. Thanks for reading, good luck!
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