The Benefits of Incorporating Artificial Intelligence in K-12 Education

K-12 education can be referred to as an education system that consists of both primary and secondary schools that children receive from kindergarten up to the 12th grade. The children taught through such a system are enrolled starting at ages 4-6 and continuing all through ages 17-19. The K-12 educational system is applied in schools within North America in countries such as the United States and Canada, Australia, the Philippines and Turkey. It has also been incorporated into Arabic regions like the United Arab Emirates, Qatar, Kuwait, Oman and even Saudi Arabia. Such a curriculum varies among different states and nations and is an expanding system that has been widely accepted as an effective method of providing fundamental knowledge to students.

On the other hand, Artificial intelligence, also known as machine intelligence, is the intelligence demonstrated by machines thatare different or in contrast to the ones shown by humans. AI is the ability of a computer-controlled robot to do various tasks typically associated with human beings. Over the years, there have been debates on the matter of AI as some people tend to view it as a cost-means of being more productive at work, while others see it as a revolution aimed at eliminating the need for human professionals in the world. However, AI has significantly transformed the face of education by opening new doors that lead to higher productivity, more successful students, and lower cost for the highly populated public-school system.

The following are some of the significant benefits of applying AI into K-12 education:

1. The education software can be adapted to various student needs

In a public school for example, where the population of students tends to be higher than the recommended available resources, it would be difficult for the tutors to cater to the individual needs of the students. Using AI increases the application of higher levels of individualized learning through adaptive learning programs, software and games. The system responds to the individual needs of a student by putting more effort into specific topics, redoing the areas where students haven’t quite clearly understood, and guiding students to accomplish a lot and at their pace.

This type of custom-tailored education could be a much-needed solution for assisting students at different educational levels to work together. The teachers wouldn’t be left behind in this mission, as they would facilitate learning through AI and offer emotional and physical help to the students when needed.

2. It would quickly identify areas for improvement within the various courses

Unlike automated machines, tutors may, at times, be unable to spot the multiple gaps in their lessons and educational material that may put students in a confused state on specific concepts. AI helps simplify the process of identifying weak spots in students and shining a light on them for the compensation of every student. For example, when a large number of students are found to give an incorrect answer in their assignment, the system would alert the teacher and would also inform them of the specific concept from which the common wrong answer originates. It also sends the students customized messages offering guidelines towards getting the correct answer and therefore helps ensure that all students are working on building similar conceptual foundations.

3. It automizes various necessary educational activities such as testing and grading

Setting tests or exams and grading them for a large number of students in a school can be extremely tedious when handled by various individuals or tutors. It even increases the chances of human error due to different emotional or psychological responses such as exhaustion. Also, the time used for grading is usually a substantial amount which could have instead be used to interact with the students and work towards their development. AI has shown significant prowess in grading tests and can seemingly be compared to the ability of human beings. Tutors can now automate grading for multiple-choice tests as well as “fill-in-the-blanks” questions in various tests, thereby allowing the teachers to focus more on the many in-class activities with the students.

4. Facilitate meaningful and immediate feedback

Using AI not only assists tutors and students craft lessons that are customized to their individual needs but also provides essential feedback to both parties about the success of a lesson or subject and areas of improvement. Schools can use AI systems to monitor individual student progress and alert tutors on the various areas of weakness. The systems also relay advice to both parties, the students and tutors, on how to approach multiple concepts in weak sectors of the lesson or subject. This advice isn’t compulsory but can act as an excellent alternative option, which could be helpful when applied together with other methods of learning.

5. Students get extra support from AI tutors

Human tutors can offer a variety of things that machines are incapable of providing and which are fundamental to the students’ growth and development. Such include emotional and physical support in lessons such as P.E. However; AI systems provide tutoring programs that help students through various subjects such as writing, chemistry, basic mathematics and many other subjects. These programs give the students fundamental concepts about specifictopics and therefore offer additional support to that of the actual human-based tutors.

6. Simplifies the learning process of trial-and-error

Trial-and-error is a vital part of learning in any institution. However, many students find the idea of not knowing the correct answer or failing quite intimidating and hence despise the idea of being placed in front of their peers or tutors. AI is designed to lessen the burden and fears associated with trial-and-error by offering the students a way to experiment and learn different concepts in their studies in an environment free of judgment. It should also be noted that AI systems also learn from the trial-and-error method and are therefore considered the perfect tutoring support for students experiencing the same type of difficulties.

Final thoughts

AI-based systems have radically changed the learning process in K-12 institutions. With the development of newer and more advanced integrated technology, the future holds a different and better experience for students in such educational systems that will significantly help in their growth and development.

Project Description:

Techno AI (Artificial Intelligence) project is designed to understand the basic fundamental of Artificial Intelligent Technology. Students can learn the steps involved in AI based project. This project explores the concept of machine learning andthrough that students will develop an AI based Facial recognition, Image classification and object tagging. Students will use the scratch software for developing the applications.

Integrated Skills: Machine Learning, Coding, Image processing

Learning Objectives:

Know about Artificial Intelligence
Learn the concept of machine learning
Understand Image analysis
Apply scratch coding for facial recognition
Implementing image tagging application using scratch and IBM support.

Learning Outcomes

To know the fundamental of Artificial Intelligence.
To understand the need of machine learning in AI.
To create facial recognition project using scratch.
To develop a project to classify and tag the objects
To apply the AI technology in Real life.

Project Description:

Techno AI Sr (Artificial Intelligence for Senior) project is designed to understand the concept of Artificial Intelligence. Students can learn about the basics of neural networks, machine learning and deep learning. The project uses Python and Google collaborate tool for developing facial recognition and other AI based application. The project explore the application of AI in the medical field. The Project also helps the students to learn Natural Language Processing and develop a chatbot application.

Integrated Skills: Machine Learning, Deep leaning, NLP, Python Coding, Image processing

Learning Objectives:

Know about Artificial Intelligence
Learn the concept of machine learning and deep learning
Implement python coding for machine learning.
Develop project on Google collaborate for image recognition, classification and Tagging
Learn to create a Chatbot using NLP

Learning Outcomes

To know the basics of Artificial Intelligence.
To understand the need of machine learning and deep learning in AI.
To create facial recognition project using python.
To apply deep learning concept in Image recognition, classification and tagging.
To apply the AI technology in medical field
To implement a Chatbot using NLP