Homework Strategy in the Age of Artificial Intelligence at Northeastern University
A professor at Northeastern University is implementing a new system comparing homework and in-person exam grades to prevent students from cheating with artificial intelligence.
Hanumant Singh, a professor of electrical and computer engineering at Northeastern University, has developed a new grading strategy to ensure students truly grasp course subjects in the age of artificial intelligence.
Artificial Intelligence and the Educational Process
Master's students in robotics at Northeastern University experience firsthand the allure of artificial intelligence while completing complex homework assignments.
Students note that artificial intelligence, when used responsibly, can be useful for speeding up tasks and learning new concepts.
New Grading System
Professor Hanumant Singh requires students in his robotics courses to take in-person exams using the Kahoot platform in addition to homework assignments.
Whichever grade is lower—the student's homework or exam grade—is accepted as their final score, which pushes them to succeed in both stages.
Academic Trends and Implementation
Singh states that he shaped this teaching approach inspired by his colleague Michael Everett's mobile robotics course.
This method is part of a rising trend in academia that involves increasing in-class exercises to reduce opportunities for cheating with artificial intelligence.
Student Experiences
Students taking the autonomous field robotics course expressed that they benefit from tools like Microsoft Copilot during coding processes.
Students pointed out that understanding the logic behind the code is critically important for catching errors made by chatbots.