sAInaptic's AI marking algorithm, has proven to be as good as high-stakes examiners, which is definitely set to revolutionise the assessment process. Unlike some other existing marking tools for short answer assessments, our AI is not merely looking for 'keywords' in student answers nor does it 'group' similar student answers together to mark them in the same way. Our AI is trained to deeply understand and evaluate the content described in the students answer, based on mark schemes associated with the questions. Continue reading to learn how sAInaptic's AI algorithm works and the remarkable benefits it offers to both educators and learners.
sAInaptic's algorithm is trained on questions and their associated mark schemes. This allows it to learn what concepts an assessor is looking for in the candidate’s response. This is similar to how examiners also follow mark schemes to mark descriptive student responses to short answer questions. It's essential to emphasise that this is vastly different from superficial keyword matching - sAInaptic's AI delves into the core concepts behind the questions. A key reason behind the high accuracy of our AI marking is that we have a human-in-the-loop feedback system in place - when assessors review the AI marking and flag inconsistencies, these are used the re-train the AI, ensuring that the marking accuracy improves with time.
One of the standout features of sAInaptic's AI is its natural language understanding capabilities. It can process student answers, taking into account grammar, spelling, and sentence structure, ensuring that it evaluates answers comprehensively. This not only saves educators' time but also provides more accurate and insightful feedback to students.
sAInaptic's AI goes beyond conventional grading. It compares the concepts expressed in the student's answer with those in the marking guidance, making the assessment deeply insightful. This means that feedback includes qualitative information that provides students insights on their strengths and areas for improvement by identifying both concepts Present and Absent.
This is crucial in helping teachers quickly identify gaps in knowledge, especially in fields like fitness education, clinical training or recruitment, where a thorough understanding of a topic requires the ability to address and express a wide range of concepts. The AI helps pinpoint precisely which areas need more attention, allowing assessors to help their candidates pass their exams with improved grades.
In subjects where conceptual clarity is paramount, this AI promises to make a significant impact on assessments design, marking and feedback. As we embrace the power of AI in education, sAInaptic's algorithm is a shining example of how technology can enhance the teaching & learning experience overall. It's not just about grading; it's about empowering candidates to reach their full potential.
Ready to revolutionise your business with AI? Say goodbye to the grind of manual marking with sAInaptic - our AI offers instant, personalised feedback, even for complex calculations. Schedule your demo today by clicking here.
This blog explores how AI marking is set to transform education by providing instant feedback, reducing teacher workload, and shifting assessments from high-stakes exams to continuous, growth-focused evaluations.
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This blog demystifies common misconceptions about AI in assessments, highlighting how AI supports teachers by improving marking efficiency and consistency, while addressing concerns about bias, accuracy, and compliance with regulations.
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