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Market Drivers for AI assisted grading: Increasing need for teachers to be spending more individual time with students to help personalize thier learning requires more support for administrative tasks that can be completed with the support of AI driven tools (Ai in education market statistics).
GradeAIssist is an AI driven, machine learning based grading and feedback provider that uses the teachers grading and feedback style to learn and grade essays and written work by students. It can also grade multiple choice, fill-in the blank and other short response style questions
The teacher is the one in control and is the model that the AI learns from
Simply mark and upload one high, one medium and one low sample from student work and the AI will do the rest. The AI uses your comments and feedback to compare other papers and provide feedback for improvement
Over time, GradeAIssist will learn the style and marking habits of the teacher and be able to efficiently grade and provide feedback on student based work
This is scaleable for large student groups completing larger assessment tasks that are common with major assessment bodies like the International Baccalaureate (IB) program
The teacher becomes the moderator for large scale assessment tasks and can periodically check-in/grade a students assessment to help improve alignment between the AI and the teacher
Subjectivity is removed because the AI is using the sample and comparing the provided samples with the remaining student work. Each time the teacher moderates/confirms the grade, GradeAIssist becomes more competent at marking and providing feedback
Why GradeAIssist?
Feedback and marking processes can be redudant for teachers who want to focus more on student learning and classroom practices. Assisted grading tools can cut back on grading time up to 89% and allow students ot receive as much as 7x more feedback (University of Birmingham, 2022). The technology is evolving quickly and neural networks can analyze patterns from teachers or teacher assistants who are grading papers and then grade them in a similar manner. The future of teaching and learning will be symbiotic with AI, where AI will continue to learn and assist teachers and students more every year (Metz, 2021).
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