The evaluation methods and the tools employed as well as educators and institutions also transform as they go through various changes. The automated grading system is one of the most discussed innovations in this field.
However, prior to delving into the specifics, one must comprehend the overall setting of grading systems. Essentially, grading systems can be broadly classified into two types: manual and automated.
The grading system in education means evaluation of students’ academic performance. The approach provides teachers with a consistent framework for evaluating what knowledge, skills, and capabilities students gain after certain periods.
It often serves multiple purposes: giving feedback to students, guiding teachers’ instructional approaches, placing students in the academic tracks, and a framework for promoting recognition of excellent learning or weaknesses.
Since the inception of formal education, the manual grading system has been the backbone of assessment. This system relies heavily on human judgment, experience, and discretion.
Image alt text: automated grading system. A report card showing how a student is graded in extra-curricular activities.
Author credit: By Matt Baran from mke, usa fuck yeah - Scott Walker Report Card, CC BY-SA 2.0, https://commons.wikimedia.org/w/index.php?curid=60358565
The automated grading system is a relatively newer method of evaluation, leveraging technology to assess student submissions.
Now, with a general understanding of the two systems, let's delve deeper into the realm of the automated grading system.
The advent of the digital revolution in the education sector has sparked a great demand for an efficient, unbiased, fast grading solution. Enter the automated grading system. This system involves application of algorithms and sets of predetermined criteria for the evaluation of student work. Automated grading has significantly expanded from simple multiple-choice items to some essay-type responses as well.
With regard to massive open online courses (MOOCs), the automated grading system is especially helpful because of the massive number of students. Additionally, this system is a revolution for standardized tests which need consistency and speed.
Moreover, it is the application of AI in education and machine leaning that really makes the difference for this grading system.
Today, advanced systems can give a great deal of information on an error which a student’s makes, can detect patterns in mistakes that students make, and can even give specific suggestions for improvement.
Though an automated grading system has undisputable advantages, it has to be complemented with human interaction for subjects where evaluations are based on discretion. A blend model may therefore be the future of grading.
Automated systems for objective scoring and manual grading for subjective or complex assignments can be utilized in this model. Such a blend could offer the best of both worlds: efficiency and personalization.
Technology is transforming the world of education, creating a new direction for the education of the future. Such integration is evidenced by the efficiency and consistency achieved by the automated grading system in education.
Although in the years to come the merits of a personal touch of the manual grading system cannot be doubted. Hence, as educators and technologists, we face the challenge of integrating the two into a whole, effective, and fair grading system for all students.
I hope that by the end of this article, the two main grading systems have been well explained. The education scene is undoubtedly changing with the emergence of the automated marking system. This is a very exhilarating time, and we’re all here to witness and mold it.