Generative AI in Education – In-Detail Insights by Biz4Group

Nowadays, education is not only a one-on-one interaction between teacher and students, but an advanced interaction between AI and students. Generative AI in education has evolved the education standards exponentially.

A report by McKinsey Global Institute found that the existing technologies are capable enough to automate a significant portion of tasks, carried out by educators. It shows that knowledge work activities will now be taken up by AI, in the form of decision making, collaboration, and natural language understanding.

Not only this, as per a report by UNESCO, educators in Asia-Pacific are working on strategies to utilize the potential of generative AI, without compromising on human-centeredness and teaching methodologies.

Here, in this blog post, we are going to unfold all the unimaginative possibilities of generative AI in education. Also, we will share our experience, as to how Biz4Group, a generative AI development company delivered its multiple projects in generative AI and education successfully.

Also Read: How Efficient is AI Based Energy Management System? Deep Insights by Biz4Group

What is Generative AI? What are the Key Technologies Involved in it?

Generative AI is a deep-learning model. It generates content on the data it is trained on. Not only content, but it can generate high-quality images, and videos as well.

So, curious about the key technologies involved in it?

Here are some technologies for AI in elearning:

1. Transformers

It is one of the types of machine learning, meant to train larger models, without labeling the data in advance. This new model can be trained on billions of pages of text. Besides, transformers can track connections between words across pages, chapters and books, inspite of mere individual sentences.

2. Large Language Models

In this model, generative AI is capable of writing not only engaging text through elearning app development, but also paint photorealistic images. Moreover, these models can create entertaining sitcoms too. Ex – GPT-3, ChatGPT, etc.

3. Generative Adversarial Networks

This machine learning algorithm was introduced in 2014. This model is more popular for generating more authentic images, audio, and videos. GAN has provided better movie dubbing experience, and rich educational content.

4. Variational Autoencoders

VAEs were first introduced in 2013. Additionally, it was the first deep-learning model, used for generating realistic images and speech.

“VAEs opened the floodgates to deep generative modeling by making models easier to scale,” said Akash Srivastava, an expert on generative AI at the MIT-IBM Watson AI Lab. “Much of what we think of today as generative AI started here.”

5. Multimodal AI

This model works great at generating content across multiple media types, for example graphics, text, and video. Also, this model is the basis for tools like Dall-E that can automatically create images from a text description.

What are the Benefits of Generative AI in Education?

Having familiar with what is generative AI and the technologies involved in it, let’s dig deeper into the benefits of generative AI and chatbots in education industry -

1. Curates Personalized Learning

Generative AI well takes care of students’ engagement and understanding. Firstly, it analyses students’ data. This is done to customize their learning paths, based on their learning styles and speeds. Hence, it results in great educational outcomes.

Our team at Biz4Group has delivered some successful projects, which will be discussed further when it comes to developing an AI application for eLearning.

2. Content Creation

AI can not only curate the learning paths for students, but also, they are very much capable of creating educational materials. It can include quizzes, lesson plans, and study guides. The idea is not just to reduce the workload from educators, but also provide them space to focus on teaching and student interaction.

3. Language Learning

Well... when it comes to language learning, AI has got you covered here too! It is great at providing language translation, and conversational practice, which works great for students learning new languages, through custom edtech softwares.

AI tools provide instant feedback, pronunciation assistance and extensive practice sessions, making language acquisition seamless.

4. Tutoring & Assistance

Virtual tutoring works on the principle of on-demand support to students. Such AI-driven systems are available 24/7. Not only this, but students are also offered proper explanations for their questions, and guidance on difficult concepts. Besides, they also receive guidance outside of traditional classroom hours.

Also Read: How to Use AI in Employee Performance Management System?

Case Studies on AI in Education – Success Stories

Having explored the benefits associated with generative AI and education, let’s make our belief firm by going through real-life case studies on AI solutions for edtech business:

Case Study 1 – AI solutions for edtech business were successfully delivered by our team at Biz4Group. One such latest project was regarding developing a Avatar-based AI eLearning solution for psychotherapy students. Through this application, students can interact with Avatar, in a similar way they interact with their tutor. They can raise questions, either in text form or in the form of voice. Not only this, but this solution also conducts time to time tests for the students and analyzes students’ performance.

Below are some highlighted features of the project:

• AI Avatars for learning assistance

• Case study narratives

• Question randomization

• Newsletter subscription

• Payment and billing history

• User login Google/ Gmail

• User list with active/ inactive functionality

Here is what our client Dr. Tiffinee Yancey thinks about the project delivered:

“Biz4Group's AI development team has been outstanding. Their excellent communication, timely delivery, innovative solutions, and genuine commitment to our project have made a significant impact. I highly recommend Biz4Group for any tech development needs”.

Case Study 2 – A Stanford’s Researcher’s AI program, based on improving English reading skills, for Ugandan children was designed to help students in self-paced digital learning environments. Here the AI program offers tailored support and intervention when a student faces difficulties in learning.

Case Study 3 – Yet another implementation of AI in education was done by University of Murcia. It implemented an AI chatbot that can answer 38,708 questions with 91% accuracy. This form of generative AI solution becomes an epitome in reducing AI’s capability to reduce teachers’ workload, meanwhile enhancing students’ support.

How does Generative AI Minimize the Educational Gap in Underprivileged Regions?

Generative AI is very capable of bridging the educational gap in underprivileged regions, in following ways:

• Adaptive Learning – Generative AI in education programs analyze student’s learning patterns. Then the student is provided with customized educational content as per his learning capability. Such adaptive learning methods improve student’s engagement level and learning outcomes.

• Virtual Tutors – Students get to access 24/7 personalized guidance from the relevant generative AI program like Virtual Tutors. They can clarify concepts, and complement the efforts of human educators. Such support proves to be transformative for vulnerable and underprivileged students.

• Automated Content Creation – Assessments, quizzes, and interactive learning modules can be automatically created by generative AI solutions. Hence, it becomes easier for educators to focus on student-teacher interaction.

• Bridging the Digital Gap – Through community solutions, public-private partnership and subsidies, underprivileged students can get equitable access to such transformative technology.

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