Behind the Scenes Grading with AI

Behind the Scenes Grading with AI

The landscape of education is rapidly evolving, and one of the most exciting advancements is the use of artificial intelligence in grading student work. AI promises to revolutionise the way teachers assess assignments, offering quick and consistent grading that can free up significant amounts of time for educators. However, behind the scenes, the reality of AI grading involves several intricate steps that often require substantial manual input from teachers.

When using AI tools to grade assignments, teachers typically need to manually input each student's work into the system. This can involve scanning handwritten submissions, copying and pasting digital files, and ensuring that each piece of work is correctly formatted for the AI to process. This manual input is not only time-consuming but also prone to errors. A single misplaced file or a formatting error can disrupt the grading process, leading to frustration and inefficiency.

After the AI has processed the assignments and generated grades, teachers then face the task of collecting and sorting the feedback. This step involves compiling the AI's results, ensuring that each student receives the correct feedback, and often manually entering these grades into the school's grading system. This process can be laborious and repetitive, detracting from the time teachers could spend on more meaningful educational activities.

This is where third-party systems such as Graded Pro come into play, offering a streamlined solution that significantly reduces the need for manual input from teachers. Graded Pro simplifies the entire grading process by seamlessly integrating with Learning Management Systems (LMS) or functioning as a standalone submission system. Students submit their work directly through the platform, eliminating the need for teachers to manually input each assignment.

Once the students' work is collected, Graded Pro processes the grading automatically using AI. This automated process ensures consistency and accuracy, significantly reducing the potential for human error. The system then presents the results to the teachers, who can review and finalise the grades and comments. Teachers have the flexibility to adjust the grades if necessary, ensuring that each student receives fair and personalised feedback before it is returned to them.

By handling the collection, processing, and initial grading of assignments, Graded Pro allows teachers to focus on what they do best: teaching and interacting with their students. The platform provides a clear and logical flow from submission to feedback, making the grading process more efficient and less stressful for educators.

In addition, Graded Pro supports a wide range of submission types, including handwritten work. This capability ensures that all students, regardless of how they prefer to complete their assignments, can be fairly and accurately graded. Teachers no longer need to spend time deciphering and inputting handwritten submissions; the AI takes care of this task, providing reliable results that teachers can trust.

In conclusion, while AI grading offers remarkable potential, the behind-the-scenes reality involves significant manual input from teachers, which can be time-consuming and prone to errors. Third-party systems like Graded Pro transform this process, automating the collection and grading of student work and presenting the results in a user-friendly format. This streamlined approach allows teachers to finalise grades and comments with ease, ensuring a fair and efficient grading process that ultimately benefits both educators and students.