(GIST OF YOJANA) Jan Suraksha


(GIST OF YOJANA) AI in Education

[JUNE-2022]

AI in Education

Context:

  • The modern world is full of technology and new inventions, in which Artificial Intelligence (AI) is playing a major role in every sphere of life. Education sector is also not untouched with the application of AI, whether it is primary, secondary or higher education, including professional education. With the day-to-day growing influence of AI in education in India, the sector must adapt its plans to account for it and how it can assist today’s young minds to become tomorrow’s capable leaders and innovators. The use of AI applications in education field can assist our teachers in increasing their efficiency by sparing them to perform high-level intellectual tasks in teaching and delivering lectures to students, and making them free from performing monotonous and mundane tasks.

Applications:

1. Robot Teachers

AI can be used in education with the help of humanoid robot teachers that can assist human teachers in delivering their lectures to students. Robot teachers can make teaching more interesting for students using their AI capabilities. In various schools, Artificial Intelligence-enabled robot teachers assist teachers in the classroom and help in clearing the doubts of students. They complement human teachers in imparting lessons and replying to frequently asked questions (FAQs) of students.

2.Personalised Education

AI can help in personalising the teaching pattern for an individual student as per his/her potential in the learning. Various AI software-based programmes can analyse the knowledge gaps, preferences, and learning ability of each student. Accordingly, they can personalise the flexible teaching pattern for each student.

3. Tutoring

AI can play a great role in tutoring students and taking the doubts of students outside the classrooms. Chatbots and other AI-enabled tools can assist students in solving their  additional problems or queries. Students even get the opportunity to ask their repetitive queries from these AI assistants, as they do in classrooms in the presence of their peers. It provides extra help to the students outside the
classroom. In addition, AI has also solved the issue of timely response. It can answer repetitive and commonly asked questions in seconds and overcome long delays. Issues of common interests and FAQs are now answered by AI tools, which help in minimising the waiting time for students and information seekers.

4. Automated Grading System

AI-powered grading software uses machine learning techniques by replicating human teachers’ grading patterns with the help of past data to evaluate the answer papers of students. It helps in removing biased evaluating patterns of human teachers in subjective papers. The automated grading system is most popularly used in optical mark recognition (OMR) criteria for evaluating objective type or multiple-choice questions by reading the shaded areas in the examination papers. AI-enabled software is also used for checking plagiarism in various documents and reports, along with providing various suggestions as to the errors present in the document.

5. Natural Language Processing

In the educational context, the Natural Language Processing (NLP) can assist students in making necessary corrections and providing meaningful comments in relation to their documents or reports. Examples of NLP include softwares like Grammarly which make writings clear and error-free and QuillBot which helps people enhance their original content and paraphrase the sentences. Various NLP software tools that help in translating one language to another include Google Translate, Microsoft Translator, and Facebook Translation App.
There are other testing companies such as the Education Testing Service and Pearson that use NLP to score essays. Massive Open Online Courses (MOOCs) that are run by companies such as Coursera and Udacity, which allow unlimited participation through the web, have also included AI grading to examine essays within their courses.

6. Administrative Tasks

AI can help teachers in performing their repetitive and mundane administrative tasks, such as scheduling, rescheduling classes, curriculum and content development, marking attendance, grading papers, sharing report cards of students automatically to the parents, etc. This will allow teachers to concentrate on enhancing educational quality rather than spending time on manual paperwork, which would eventually decrease their work pressure. AI has made the performance of administrative tasks easier and improved teachers’ or instructors’ efficiency and effectiveness in providing instructions and guidance to students.

7. Creation of Smart Content

AI-based software tools help in the creation of smart content that can range from digital textbooks, study guides, videos, etc., that create customised environments for the students. AI can also help in generating and updating the contents of the lessons, keeping the information up to date, and customising it for different learning curves.

8. Multilingual Teaching

India is a country with varied regional languages where NLP tools having AI capability can break down the barriers of communication between the various regional areas by using deep learning networks to translate speech and text into different languages. In this way, access to quality education and sharing of knowledge can be processed at a wider level.

Conclusion:

  • To summarise, the main roles of AI in education are the automation of both academic and administrative tasks, personalisation in learning, smart content, and day-night accessibility. With the help of AI techniques, a student can avail of educational services of interest, anytime from anywhere in any language. AI has resolved the issues related to accessibility, health, environment, etc., that were previously hindering the process of education.

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Courtesy: Yojana