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Grading multiple choice papers

Introduction

AI has become an important tool that has been adopted in almost every industry and has come with many changes and new possibilities. Another area that has been affected is the education industry where AI is being incorporated in the system. In particular, CV AI is altering the approach to the multiple choice papers’ correction, decreasing the human factor, time, and increasing the effectiveness of the process. This paper seeks to examine the use of CV AI in the process of grading multiple choice papers by discussing the challenges, the AI solutions, the advantages and the real life examples.

Challenges

The conventional process of grading multiple choice papers is associated with a long list of difficulties. First, it is rather tedious and may take a lot of time to complete the task, which is why teachers may have to work after school to do so. One can make mistakes when grading a large number of papers, thus yielding wrong results. Further, the boredom factor sets in when doing the task regularly, which may lead to lack of interest. There is also a question of how the current system scales, with the traditional method tending to struggle when dealing with many examinations especially those from national or regional examinations. Finally, the students do not get results immediately which can be a disadvantage in learning.

AI Solutions

CV AI provides a very good solution for the evaluation of multiple choice papers. It applies algorithms to images, in this case it may be multiple choice answer sheets images, and determines the underlined choices. The following is one of the leading solutions in this space: GradeCam is an AI-based tool that helps in scanning and grading multiple choice papers within seconds. Likewise, ZipGrade transforms any smartphone or tablet into an optical scanner that helps in grading paper quizzes in a few seconds. Metametrics’s Lexile Frameworks applies AI to offer a common measure of text difficulty and to assist in pairing students with the right texts. The ETS's e-rater and c-rater are AI-based systems for automated essay scoring and constructed-response scoring respectively. Not only do these solutions grade automatically but they also give the student feedback in real time which is advantageous in the learning process.

Benefits

The application of CV AI in the process of grading multiple choice papers has numerous advantages. First, it helps to reduce the time that teachers spend in the process of grading hence they can use the remaining time in other activities such as lesson planning or attending to the students. Second, it minimizes the possibility of errors that are often witnessed when grading is done by humans thus ensuring that the grades given are correct. Third, it gives the students feedback at the earliest, so that they are aware of their scores and what they need to work on. Fourth, it is flexible and can accommodate a large number of papers which makes it suitable for use in large exams. Finally, the information that is collected can be used to understand the performance of the students and how the teachers may adjust their teaching approaches.

Return on Investment

It is possible to realize a high ROI when integrating CV AI into the process of grading multiple choice papers, for instance. The time and resources that would have been used for manual grading can be well used in other useful activities such as enhancing the quality of teaching and students’ achievement. Furthermore, the immediate feedback feature can enhance student learning outcomes hence increasing the institution’s academic performance. With better and efficient results and plenties of time saved, schools can also improve their image and attract more students, and in turn, boost their income. Although there is a lot of money that has to be spent on developing and integrating AI into the system, more often than not, the returns and savings that are realized in the long run are worthwhile.

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