How Are eLearning Solutions Becoming Better With AI Paper Graders?

How Are eLearning Solutions Becoming Better With AI Paper Graders?
Summary: eLearning solutions have become better at paper grading because they can now check the handwritten assignments of students much better than human assessors.

How Are AI Paper Graders Helping eLearning?

There has been a great improvement in eLearning solutions all over the world, but such solutions can yield better results when Artificial Intelligence (AI) is used. AI has been proven to be highly effective. Machine learning has become a part of our daily lives. Whenever we use apps to order food, it gives an estimated cost of the delivery time. If we have previously ever ordered from the app, it stores this information and, based on it provides an estimate. Machine learning is now also used to create better eLearning solutions. AI is being used as a substitute for teachers when it comes to assessing examination answer sheets because:

1. AI Is Better At Evaluating Students

Teachers are also using machine learning because it aids them. Teachers can assess students, but computers are better at it when they do the same job. Through Artificial Intelligence, computers can get a deeper insight into the learning ways of students. This helps them evaluate the areas where a student needs improvement.

When machine learning algorithms are used in eLearning solutions, they can store and evaluate data about a student, like whether they are weak in grammar or spelling. So, when programs are developed based on this data, their assessments can be checked faster. The student can also be evaluated for their understanding of the subject.

Artificial Intelligence is also used to detect which students have cheated. Sometimes teachers can’t detect whether a student's assignment has been completed by someone else, but the AI can do so. It can analyze the student’s handwriting and find out whether it is original or not. Someone might have completed the test in the student's handwriting, which a machine learning algorithm could detect by analyzing a scanned copy of the answer sheet.

2. Lack Of Human Assessors

Here, a computer-based assessment is more beneficial because it does not rate students based on their handwriting. However, handwritten eLearning assessments are used in the case of MOOCs [1]. But the problem is how to get assessors. Students can upload their written assessments on an LMS. Essay-based questions test the advanced cognitive processes that MCQs can’t, so the former must be included.

So, AI has been helping to devise better test checking in eLearning solutions, because human assessors might be in short supply. Through the use of AI for this purpose, teachers and instructors have more time to spend with students. This is because AI has taken over the work of grading exams. AI can also help universities grade the admission essays submitted by students. Teachers are no longer required to perform the duty of separating the scanned answer sheets submitted by students. AI is used for checking multiple questions submitted by students/employees as a part of eLearning solutions.

In the traditional method of checking assessments, two teachers were assigned the job of grading the same exam script. This method ensured that the students didn’t face any bias when their answers were checked. Although this method protected students’ interests, it was time-consuming for teachers. But due to AI-based grading solutions, the quality of checking assessments has not been affected, although the teachers’ time has been reduced.

3. Saves A Teacher’s Time

Learners can also have problems navigating eLearning solutions. They might have queries that have to be answered in real time, but the teachers don’t have time. So even when the teachers are busy attending other sessions, the employees/students can get answers through chatbots. The chatbots are like virtual instructors who can browse through the entire eLearning content to find the answers for students.

The virtual tutors developed through Artificial Intelligence are also proving to be helpful. This is because they can recognize any stress in the student’s voice. This way, the teachers learn when a student needs attention. The teachers understand the students’ behaviors through an emotion detection AI algorithm, which lets them know whether a student understands something or not through their facial expressions and voice.

Essays Don’t Provide Any Help To Students, Unlike MCQ’S

Students need to be tested to improve their understanding, and essays facilitate this because the students have to think before writing anything. Unlike with MCQs, students don’t get any help from the various options presented. However, the students should be given a time limit to answer essay-based questions, like 10–15 minutes. Also, they should be given some hints about what to write in their answers so that they don’t write ambiguous or unrelated essay answers. Students should not write rubbish in their answer sheets to make the answer long.

What Are AI Paper Graders?

A paper grader is a software solution that is used for this purpose. This software provides accurate scores even for research papers. This software collects all the parameters used for grading through assignments checked by professors. It uses the same metrics for evaluating student papers. The AI paper grading software never becomes outdated because it continuously updates itself by scanning answer sheets checked by a human assessor. Also, the software does not have any problem understanding handwriting because it has an optical character recognition feature. It also helps evaluate answers in different languages; hence the university does not need to hire multilingual assessors.


[1] What Has Given A Boost To eLearning In The Last Couple Of Years?

eBook Release: Creativ Technologies
Creativ Technologies
We provide niche elearning solutions to corporate clients. Our company also provides LMS administration services. We are experts in Blended Learning, Mobile Learning and Web Based Training

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