Harvard Students Learned More Than Twice As Much With AI Tutor: Study
A Harvard experiment found that students using a specially designed AI tutor showed more than twice the learning gains recorded by students attending an active-learning classroom.
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Artificial intelligence is slowly becoming part of classroom learning, and a Harvard University experiment has offered an interesting look at how AI tutors could be used by college students.
The study involved 194 undergraduate students taking Harvard's Physical Sciences 2 course, an introductory physics course for life sciences students. Researchers compared the performance of students learning with a specially designed AI tutor with those attending an active-learning classroom.
The findings showed that students who used the AI tutor made more than twice the learning gains recorded by students in the classroom sessions.
What Did The Harvard AI Study Find?
The researchers used two lessons covering topics such as surface tension and fluid flow. Students took tests before and after the lessons to measure how much they had learned. Some students learned the topics through regular classroom sessions involving instructors and other students, while others used an AI tutor called PS2 Pal.
The AI tutor was not simply a general chatbot. It was designed specifically for the course and helped students through questions, explanations and feedback during the lessons. According to the study, students using the AI tutor spent a median of 49 minutes learning the material, while the classroom learning session lasted 60 minutes.
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Students Reported Higher Engagement
The researchers also looked at how students felt about the learning experience. Students who used the AI tutor reported higher levels of engagement and motivation. However, the study did not find a significant difference between the two groups when it came to enjoyment or growth mindset.
The researchers said the AI tutor's design was an important part of the experiment. It allowed students to learn at their own pace and receive feedback while working through the material.
Could AI Tutors Become Part Of College Education?
The findings do not mean that AI can replace teachers or that students will necessarily learn better with AI in every situation. The experiment was conducted with students from one Harvard course and focused on only two lessons.
Still, the results show where AI could be useful in education. Students can use an AI tutor to go over a difficult topic again, ask questions or get help when they are stuck, without having to wait for the next class.
Universities Take A Cautious Approach To AI
The Harvard findings come at a time when several universities are taking a cautious approach to the use of artificial intelligence in academic work. While universities are not necessarily opposing AI altogether, some are restricting its use in classrooms and assessments over concerns that students could rely on the technology instead of developing their own writing, reasoning and problem-solving skills.
Universities including the University of Chicago Law School, Columbia Law School and UC Berkeley Law have introduced restrictions on certain forms of AI use in academic work. These policies generally distinguish between using AI as a learning aid and allowing it to complete work that is intended to assess a student's own skills.
The Harvard experiment presents a different use of the technology. Instead of using AI to complete assignments for students, the specially designed PS2 Pal tutor guided students through lessons, asked questions and provided explanations and feedback.
The findings therefore highlight an important distinction in the growing debate over AI in education: how the technology is used may matter as much as whether it is used at all.
What This Could Mean For Students
AI tutors could become another learning tool for students, particularly when they need additional practice or individual support. Teachers, however, would continue to play a role in explaining concepts, guiding students and handling classroom discussions.
The Harvard experiment suggests that the way AI is used may matter as much as the technology itself. More studies involving different subjects, courses and groups of students will be needed to see whether similar results can be found elsewhere.
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Anjali is an education journalist with over a year of experience in digital and business journalism. She has previously worked with BW Businessworld and ANI, where she gained experience in news writing, editing, research, and fact-checking. At Jagran Josh, she writes education news and covers competitive exams and current affairs, with a keen interest in delivering accurate, informative, and reader-focused content. She holds a BA from Miranda House, University of Delhi, and a postgraduate diploma in English Journalism from the Indian Institute of Mass Communication (IIMC). Anjali enjoys reading and exploring new ideas and perspectives through books.
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