How to Conduct Online Exams Using Machine Learning?

Machine Learning

There is massive research into Machine Learning tools capable of doing human tasks with much higher efficiencies. Artificial Intelligence has made a way by playing a significant role in shaping day-to-day lives. 

Examples of Social Media Platforms

When you are surfing the internet on social media platforms like Instagram, some posts may appear at the top of feed even if they have not made recently. 

It happens because this social media platform tracks your activity on the app with AI and shows you content similar to the content you interacted. 

AI tracking activity on social media platforms is an excellent way to enhance the user experience and makes sure that users use the venue for a longer time. 

Smart home assistants and smart speakers became popular past few years.

Another technology has made way for home usage is an Internet Of Things. It is a system with interrelated machines and devices of Unique Identifiers that communicate with each other without human interference. 

Can we use these technologies elevated in the functioning of universities? 

Students and teachers have been contemplating long on ways to improve universities and educational institutions functioning. Most educational institutes have consistently lacked in keeping up with technology. 

How AI and IoT makes a difference at university?

AI for the education market has reached two billion dollars by 2023, growing at thirty-eight percentage CAGR in the forecast period of 2018-2023. 

Conducting Examinations using AI

Examinations are indifferentiable part of education, and they are essential milestones for the educational journey of students.

Exams require much planning, from 

  • setting question papers
  • printing question papers and answer sheets
  • distributing question papers across all examination centres evaluating answer sheets and finally processing exam results. 

The whole process takes months on end. It is labour intensive and costly. By the time one examination cycle finishes, it is the time to start planning for the next examination. This whole process takes up much time for teachers and burdens them with more work. 

This burden of planning and finishing examinations hinders the teacher’s capability of paying full attention to their course and students.

All that teachers need for conducting an online exam system is to design an online question bank and moderate the system’s question paper. After this, all tasks will right up in computing the result by an online course. 

Another advantage of these online assessment tools is they use voice recognition and facial recognition, both in a feature called remote proctoring, to track the student’s activity and detect any malpractices that human invigilators might miss out on. 

Thus, online examination systems save teachers much time, which they can dedicate to students, reducing administrative tasks’ burden.

Streamline Admission Process using AI

In recent years online admission systems gained much popularity far and wide. 

It saves much time for students who travel to other cities to register for the entrance exam and confirms their admission. 

AI is used to streamline the admission process and make accurate forecasts about essential matters like students’ enrollments. 

AI is useful for data analytics in terms of the admission process, where many applicants have applied for a particular course. Data Analysis can help to take a specific key and strategic decisions related to the admission process.

Chatbot for Admission Query Resolution

AI-driven Chatbots are useful in simplifying student’s query resolution during the admission process. Chatbots are 24X7 helping agents programmed to answer frequently asked questions for students.

Giving feedback to teachers using AI

In the classroom, many students have different learning styles. All students might not respond similarly to one particular teaching method. This method works with one student that might not work with another student. Teachers need to understand a way students react to different techniques that process helps students understand other topics. 

Teachers are solving different problems of AI through feedbacks.

AI monitors batch performance by a quiz and gives detailed analytics to the batch performance for various subjects. With this feedback, teachers know about student’s response as techniques. 

AI can be a Personal Teaching Assistant.

We have started using AI-powered personal assistants daily and for individual tasks like making a reservation at a restaurant, booking flight tickets, ordering something with a mere voice command, making an appointment with your dentist and so on. 

A principle of personalizing technology used in education AI can understand and adapt to a student’s learning abilities, and it can come up with personalized teaching techniques to help students understand concepts more quickly. AI helps students to understand the practical implementation of theory and go beyond rote learning. 

Virtual Reality to enhance Machine Learning

Another technology that is revolutionizing the way students learn is Virtual Reality. It is a technology used to a great extent to enhance the practical Machine Learning experience of students. 

Virtual Reality used to take students on a virtual field trip. This technology will save time and money and promote practical Machine Learning and give students hands-on experience.

Smart Campus Assistant

The Internet of Things changes universities into smarter work environments to learn. The innovation is necessary at its centre, all about interfacing gadgets over the internet and letting them converse with each other. 

Smart classrooms will upgrade the learning experience of students. A classroom equipped with Internet of Things adjusts to the customized settings in setting up the room for various faculty members. Monitoring participation, attendance of students and invigilating tests will be computerized and made significantly more powerful. 

Future

AI plays a huge part in daily life that used in agriculture for weather forecasting and monitoring farms. It also used to predict if a person will have breast cancer in the next five years from a mammograph. 

By having varied applications and versatility, AI plays a massive role in the education sector. It has started making its mark with various uses like Smart Campus Assistants, Virtual Reality in Classrooms, Personal Teaching Assistants, AI-powered Online Assessment Tools.

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