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Sense Education is the developer of Sense, an artificial intelligence solution for finding patterns and providing personalized feedback in student assignments. Sense allows scalable and personalized education to go hand in hand, making open-ended assignments a scalable alternative to multiple-choice questions for computer science and other STEM courses with high enrollment. Sense can increase the quality and detail of personalized feedback while drastically reducing grading time and providing greater accuracy and equity in grading.
Sense’s hybrid human-machine intelligence solution helps educators evaluate and provide feedback on open-ended assignments more efficiently and provides students with adaptive learning experiences through the use of artificial intelligence. Sense accomplishes this in two steps: first, algorithms detect patterns in student submissions and break down the answers into the typical 5 to 10 solution types or clusters. The educator then evaluates and provides feedback for each solution type rather than for each individual submission.