Large language models (LLMs) are becoming more popular in Indian edtech as a way to give students extremely customized learning experiences. Co-founder and MD of upGrad Mayank Kumar revealed to AIM last year that the edtech company was considering developing a proprietary LLM.
Edtech companies have faced a great challenge from ChatGPT, which is compelling stakeholders to either adopt its features or risk being left behind.
While some edtech sites misjudged ChatGPT’s strength and were on the verge of collapse, others, such as Khan Academy, recognized the promise of generative AI early on and embraced it.
Let’s have a look at some fascinating generative AI applications in education.
Customized Education & Curriculum Development
Customized lesson plans guarantee that students get a quality education based on their interests and needs. These plans can be created by AI-powered algorithms that analyze student data, including feedback, skills, and historical performance.
The AI tutor from Khan Academy, Khanmigo, helps instructors and students by offering solutions as well as assisting the students in figuring them out on their own. Teachers can organize students, differentiate instruction, make lesson plans and quiz questions, and more with Khanmigo.
Teaching Support
Generative AI can help with the creation of new instructional resources, including explanations and topic summaries, as well as quiz and exercise questions. For teachers who have a lot of content to create for their classes, this can be really helpful.
Moreover, generative AI may help create extra resources like reading lists, study guides, discussion topics, flashcards, and summaries to enhance the core course material.
For example, one might build dynamic, multimedia-rich quizzes with Quizizz, an interactive learning platform, to increase student engagement.
Evaluate Your Learning Styles
Artificial intelligence (AI) examines student performance data to find patterns of comprehension gaps or learning challenges. Adaptive platforms evaluate a student’s strengths and shortcomings by analyzing large volumes of student performance data through the use of artificial intelligence (AI) and machine learning (ML) techniques.
For example, BYJU’S uses an internal AI model called BADRI to provide customized learning experiences based on the unique needs and abilities of each student.
It uses customized “forgetting curves” to identify each student’s areas of strength and weakness and offers learning videos and tailored questions for those that need work.
AI-Powered Tutoring
With the use of generative AI, virtual tutoring environments can be developed where students can communicate with virtual tutors and get assistance and feedback in real time. It can be especially helpful for children who don’t have access to in-person tutoring.
Similar to this, BYJU’s MathGPT model generates precise answers to challenging mathematical problems—like trigonometric proofs—by utilizing cutting-edge machine learning methods.
Platforms for Collaborative Education
Generative AI is useful for collaborative learning in addition to helping with teaching and content creation since it makes it simpler for students to exchange ideas, participate in group discussions, and collaborate on projects with peers across the globe.
AI-powered virtual platforms that enable the sharing of original thoughts, viewpoints, and insights and encourage unconventional thinking can help achieve this goal.
Vidyartha is a personalized and collaborative digital learning platform that BYJU’S and Google have joined to offer to schools. Through this collaboration, Google Classroom is more easily accessible for efficient classroom administration, organization, and learning monitoring.
Restoring Outdated Educational Resources
Large text datasets are used to train generative AI models in language patterns and structures, which enables them to intelligently reconstruct missing or damaged text sections from sources like books, course materials, and historical manuscripts.
Generative AI can upscale and improve the resolution and clarity of outdated, low-resolution photos and photographs used in instructional materials by using methods like GANs.
Creating Interesting Content
A variety of educational resources, including immersive simulations and interactive storytelling, can be produced by utilizing basic models. Learning becomes an interesting experience for students when they take use of the compelling graphics produced by AI.
NOLEJ, a decentralized skill platform driven by AI, provides teachers with the ability to create visuals specifically for their course requirements. An AI-generated e-learning capsule may be created in about three minutes. This capsule includes a dictionary and an interactive video.
Source – AIM
