AI Tutors & Personalised Learning: The Future of Data Science Education

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Introduction

The evolution of technology has been game-changing; while there has been a considerable shift in conventional industries like IT, finance and healthcare, the impact of AI is not limited to just one field; rather, it has also transformed the education vertical.

Unlike the conventional mode of education that majorly included a fixed curriculum and teaching pattern, today, there has been a major shift. The one size fits all doesn’t work today, customised training methodology is making all the difference. Technology is playing a pivotal role in this.

Artificial Intelligence, Virtual Reality and Augmented Reality are slowly transforming how things used to work. The focus is to make education and learning student-centric.

Noteworthy Stats

• As per a study around 2/5th of children actively use Gen AI for education while 54% use it for homework or completing school work.
• AI-powered education games are being actively used by teachers to enhance the effectiveness of teaching.
• Around 39% of the students use Gen AI to explore topics and find answers to their curiosity.
• By 2032, the global AI market is expected to reach a mark of $88.2 billion.
• Around 60% of the teachers surveyed by Forbes have mentioned that they have integrated AI into their teaching methodology.

These are a few of the many changes that we have seen in recent times, in the years to come we will be witnessing a major change in the teaching mode.

While making these claims, it is also important to mention here that we cannot completely rely on AI models for teaching. Human intervention clubbed with AI will have beneficial outcomes.

The growing use cases of AI is also driving education in the Data Science domain. Data expertise is the foundation for AI, hence if you are looking to make a career in this sector, enrolling for the Data Science certification course or Data Science internship will be helpful.

Examples of AI Integration in the Education Vertical

Artificial Intelligence applications and use cases are expanding, it can play a major role in improving the learning experience of the students by providing a more personalised learning.

AI ditches the age-old method of teaching and modulates the learning process that matches the knowledge and skill set of every student. This section highlights all these core aspects.

Some of the key examples include:

DreamBox Learning: It provides adaptive maths lessons for K-8 students

Knewton and Squirrel AI: They adjust lessons to meet an individual’s student needs in real-time.  

AI as a Tutor

Chatbots are not merely for answering customer queries, rather you can use it for several purposes like virtual teaching. Students can get the right support and assistance. These bots are trained to address all the key questions and queries of the students. 

Besides, these blots also provide guidance on assignments, answering queries and suggesting changes similar to what a human teacher would do but with more accuracy and efficiency.

AI tutors can also provide personalised assistance and also help in clarifying the doubts. This personalised approach ensures faster query resolution ensuring better understanding of each subject.

Gamification of Education using AI

Integration of Artificial Intelligence can make the learning process more effective and efficient. This technology focusses on using gamification to enhance the effectiveness of the learning process. AI-driven educational games help in providing an immersive learning experience.

Use of AI to Motivate Students

Similar to a teacher, the role of AI is not just to teach and impart education, rather it also focusses on motivating the students. With the gamification of the learning process, the students, the AI-based learning platforms are playing a crucial role in this. The objective of these platforms is to engage the students which don’t follow the conventional pattern.

Example of AI-based Platforms to Motivate the Students to Learn

Duolingo: It is a popular language learning platform. It uses gamification to teach languages.

Conclusion

AI integration has been a game changer in the education vertical. It helps in making the learning process more effective while overcoming the key barriers of conventional learning method.

The future revolves around AI and its application will continue to grow. The future of education sector is AI-driven, let’s embrace the change and get ready for a better learning experience.