AI in Education: Transforming Learning and Personalized Instruction

Education has previously been primarily about rote learning, whether anyone wants to recognize that or not. With students mugging up concepts, the entire charade of learning becomes surface-level. Artificial intelligence in education can be the wave of change. It is poised to revolutionize the learning experience, making it more personalized, efficient, and accessible.

With numerous benefits and practical applications. We’ve tried to explain how AI in education can be a transformative force. Therefore, let’s start…

Use of Artificial Intelligence in Education

There are multiple ways artificial intelligence can be used in education. To further extrapolate, we have divided the core features of AI applications in education. Therefore, let us understand them one by one:

Personalized Learning

AI in education can provide multiple sophisticated solutions that can be used on a wider scale. With AI and education together, it has become increasingly easy for the education system to culminate solutions that cater to each student. They can provide a personalized learning experience and customized curriculum to the users.

Some of the key trends where the use of artificial intelligence in education is imminent in terms of personalized learning are:

• Human touch: With artificial intelligence in education, one can create custom content per the user’s individual needs. For this, the best AI apps and software use NLP. It allows them to create content centered around the user’s linguistic preferences. Chatbots in Edtech can provide personalized feedback to the students and explain concepts in easier language.
• Personalized Curriculum & Performance: With AI in education, the solution providers can predict student performance and recommend personalized learning resources. It is made possible as ML powered algorithms can assess the behaviors and patterns of students.
• Widespread Adoption of AI: With AI-powered learning platforms, education has become much more accessible and affordable for schools and students. The AI systems can personalize content according to the student’s personality.

Some classic examples of how AI for education can be used in terms of personalized learning are:

• One on One tutoring
• Personalized learning path
• Real-time feedback
• Adaptive learning
• Personalized Recommendations

Some real-life examples of artificial intelligence in education apps that provide personalized learning are:

• Duolingo
• GradeScope
• Knewton

Automated Tasks

AI and education can be used for automating repetitive tasks and reducing the time for time-consuming operations. For example, grading essays, creating lesson plans, providing student feedback, etc. This allows the teachers to focus more on important tasks that help teach and interact with the students.

Let’s discuss the AI in education examples that we mentioned earlier:

• Grading Essays: The use of AI in education to improve essay grading can be done for much more detailed feedback on the work. This will save the teachers significant time and allow them to provide much more personalized feedback.
• Creating Lesson Plans: AI-based education can help you create lesson plans that can be used for students’ personal growth. The AI system can do this based on the needs and interests of the person. This is another aspect that can drastically reduce the amount of time spent on creating lesson plans for each student.
• Providing Feedback: AI-based feedback tools can empower students with real-time overall feedback on their performance and help them identify their strengths and weaknesses. It will help them make reasonable progress toward their learning goals and help them improve systematically. It also cut short the time of evaluation taken by the teachers.

Some specific examples of using AI in education from the perspective of automating tasks are:

• Scheduling
• Record Keeping
• Communication

Some real examples of this are:

• Kiddom
• DreamBox
• Grammarly

Improved Accessibility

AI in education has the potential to significantly improve accessibility in terms of providing education to students with disabilities and creating learning material & activities that are best suited for them.

Here are some examples of the collaboration between artificial intelligence and education. These are:

• Text-to-speech: AI based education tools can convert written text into audio. This can help students who are blind and visually impaired.
• Speech-to-text: Artificial intelligence and education can also convert speech into text. This can help students who have difficulty in writing.
• Real-time captioning: The use of AI in education is also for providing captions for both audio and video content. This can help students who are deaf or have difficulty in hearing.
• Image recognition: Another combination of artificial intelligence and education is image recognition, which can describe objects and scenes in an image. This can help students who are blind or visually impaired.
• Personalized learning: This use of AI in education creates a personalized learning experience for students with disabilities. This can be changed based on the individual needs and learning styles of the students.

Some AI in education examples from this perspective include:

• TapTapSee
• Be My Eyes
• Braille Academy

Future of AI in Education

The future of AI in education is a transformative one. As today’s AI evolves, we will see a much denser role of AI in education in terms of shaping its future. As technology rapidly advances, education’s personalization will become more prominent.

The adopters, i.e., the teachers and students have been enthusiastic about adopting artificial intelligence in education. With a keen focus on enhancing learning, improving teaching, and addressing the challenges of the education system, we will also try to find a balanced approach regarding the potential positive and negative effects of artificial intelligence in education.

Furthermore, acknowledging the concerns related to AI’s negative consequences, such as cheating and digital inequities, the future must be balanced between traditional teaching methods and replacing human educators. The future AI for education needs to be created in such a manner so that teachers and students are fully capable of grasping the concepts and using them effectively.

With a more personalized approach and customized curriculum, the quality of education using AI is bound to increase. The future of education is a bright one. With AI, we’d be able to treat every student equally based on their learning abilities. We will be able to create a much more intuitive education system that not only eases the learning process but can make the process more immersive and intuitive.

Wrapping Up!

The widespread increased usage of artificial intelligence in education is imminent. There are multiple best artificial intelligence companies around the world that are creating some incredible solutions. Additionally, the education system is slowly and steadily demanding a better way to teach and engage students. With all this happening, the education industry will transform to a degree in the future that it is unrecognizable and good for everyone. It will be hyper-focused on creating a personalized learning experience and helping each & every student custom to their individual learning preferences.

FAQs:

Q.1 What is the purpose of using AI in education?

A.1 The purpose behind using AI in education is to simplify the learning process, create custom curriculum, give personalized learning, and automation of several tasks.

Q.2 What technologies are used for AI in learning?

A.2 The different technologies that are used for AI in learning are machine learning, computer vision, natural language processing, etc.

Q.3 What is AI based learning?

A.3 AI based learning is learning through tools, apps, and platforms that use AI technology for more personalized and custom learning.

Q.4 How is AI used in education?

A.4 AI is used in education via integrating AI technologies such as machine learning, natural language processing, computer vision, etc. with the existing AI tools and technologies.