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7 resources
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Rose E. Wang, Ana T. Ribeiro, Carly D. R...|Oct 3rd, 2024|preprintRose E. Wang, Ana T. Ribeiro, Carly D. R...Oct 3rd, 2024
Generative AI, particularly Language Models (LMs), has the potential to transform real-world domains with societal impact, particularly where access to experts is limited. For example, in education, training novice educators with expert guidance is important for effectiveness but expensive, creating significant barriers to improving education quality at scale. This challenge disproportionately harms students from under-served communities, who stand to gain the most from high-quality...
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Pepper Miller, Kristen DiCerbo|Jul 3rd, 2024|preprintPepper Miller, Kristen DiCerboJul 3rd, 2024
Large Language Models (LLMs) face documented challenges in solving mathematical problems. While substantial work has been done to quantify and improve LLMs’ abilities to solve static math problems, evaluating their performance in real-time math tutoring scenarios presents distinct challenges that remain underexplored. This paper specifically addresses the accuracy of LLMs in performing math correctly while tutoring students. It highlights the unique difficulties of this context, classifies...
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Zhoumingju Jiang, Mengjun Jiang|Jun 16th, 2024|preprintZhoumingju Jiang, Mengjun JiangJun 16th, 2024
The integration of artificial intelligence (AI) in education has shown significant promise, yet the effective personalization of learning, particularly in physics education, remains a challenge. This paper proposes Physics-STAR, a framework for large language model (LLM)- powered tutoring system designed to address this gap by providing personalized and adaptive learning experiences for high school students. Our study evaluates Physics-STAR against traditional teacher-led lectures and...
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Sarthika Dutt, Neelu Jyothi Ahuja|May 29th, 2024|journalArticleSarthika Dutt, Neelu Jyothi AhujaMay 29th, 2024
This study addresses the learning requirements of learners with learning difficulties by monitoring their learning experience in an Intelligent Tutoring System. Intelligent Tutoring Systems were developed to enrich the teaching-learning process. In the present work, the interface is designed and developed utilizing the potential of Artificial Intelligence to meet their individual needs. Designing an online learning platform for a learners with learning difficulties requires consideration of...
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Danielle R. Thomas, Erin Gatz, Shivang G...|Apr 29th, 2024|preprintDanielle R. Thomas, Erin Gatz, Shivang G...Apr 29th, 2024
Incorporating human tutoring with AI holds promise for supporting diverse math learners. In the U.S., approximately 15% of students receive special education services, with limited previous research within AIED on the impact of AI-assisted learning among students with disabilities. Previous work combining human tutors and AI suggests that students with lower prior knowledge, such as lacking basic skills, exhibit greater learning gains compared to their more knowledgeable peers. Building upon...
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Benjamin D. Nye, Dillon Mee, Mark G. Cor...|Jul 7th, 2023|conferencePaperBenjamin D. Nye, Dillon Mee, Mark G. Cor...Jul 7th, 2023
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Gautam Yadav, Ying-Jui Tseng, Xiaolin Ni...|Jul 7th, 2023|conferencePaperGautam Yadav, Ying-Jui Tseng, Xiaolin Ni...Jul 7th, 2023