5 Ways How AI-Powered Adaptive Learning Can Solve Educational Challenges
AI is the future, well everyone has heard this phrase but now it seems a little too real as it is now being incorporated in educational fields as well.The AI in learning and teaching endeavours comes in many types, but perhaps one of the most interesting is adaptive learning.
Adaptive learning aims to deliver learning experiences that meet the unique needs of an individual student — whether that’s through adaptive pathways (different students move through the material in different ways), adaptive feedback (that is tuned to what the student does and needs) or adaptive content (the content changes according to each student’s needs).
1. Personalized Learning
“Everybody’s a genius. But, if you judge a fish by its ability to climb a tree, it will live its whole life believing that it is stupid”-Albert Einstein
Human intelligence, living conditions, and the environment — these vary from student to student and are critical in a student’s learning cycle. When it comes to education, the conventional idea of a single classroom or one-size-fits-all is rightly losing its lustre. People are different and no single learning style is suitable for all.
This is where AI can help in rendering content that is catered to the need of the student, either in schools or even in corporate setups. Together with immersive technologies and AI, data on individual students’ learning pace and ability can be collated in a cost-effective way and shared to make learning enjoyable, fun and engaging.
2. Enhanced Accessibility:
As eLearning becomes increasingly popular, it’s essential to ensure that learners of all abilities can access and engage with the course material. AI can enhance accessibility by providing personalized learning experiences and tools for learners with special educational needs. Real-time captioning and audio descriptions offer an inclusive experience for learners, while chatbots provide immediate assistance and support, reducing the need for human intervention.
3. Course Creation
AI has the potential to significantly improve the course creation process; thereby reducing costs and freeing up time in a teacher’s overloaded schedule. Due to the help provided by these apps, teachers are now accepting digital innovations in education. Either by starting from scratch or using purpose-built templates, AI software can seamlessly introduce both traditional and interactive content for lessons. Meanwhile, through in-app comments from co-authors and reviewers, you can collaborate with your team to produce high-quality training material.
4. Smart Content
Smart content encompasses a range of digital resources: guides, textbooks, videos, and instructional snippets — all of which can be used to create customized learning environments for schools and their individual goals and strategies. AI solutions can help identify areas where this technology can be applied. A school could develop an AR/VR-based learning environment, for instance, complemented by web-based lessons to facilitate immersive and interactive learning experiences.
5. Help for Students
Every new technology has its own goods and bads, focusing on AI tools like chatgpt we have more benefits than harms if used correctly. Many new applications can be of great help to students.
Querium is an AI-powered tutor that provides students with step-by-step tutoring on math problems and builds personalized lesson plans. There’s also Smart Sparrow, which allows users to provide constructive feedback that is unique to each student.
Conclusion
The future of AI in eLearning is promising, as it will bring increased flexibility and adaptability, improvements in learning analytics and data-driven insights, and further personalization of the learning experience.
