11 citations · 15 across the 6 of their papers we have counts for
6 papers
Beyond Final Answers: Evaluating Large Language Models for Math Tutoring
Adit Gupta, Jennifer Reddig, Tommaso Calo +2
Researchers have made notable progress in applying Large Language Models (LLMs) to solve math problems, as demonstrated through efforts like GSM8k, ProofNet, AlphaGeometry, and Mat…
Intelligent Tutors Beyond K-12: An Observational Study of Adult Learner Engagement and Academic Impact
Adit Gupta, Christopher MacLellan
Intelligent tutors have proven to be effective in K-12 education, though their impact on adult learners -- especially as a supplementary resource -- remains underexplored. Understa…
Intelligent Tutors for Adult Learners: An Analysis of Needs and Challenges
Adit Gupta, Momin Siddiqui, Glen Smith +2
This work examines the sociotechnical factors that influence the adoption and usage of intelligent tutoring systems in self-directed learning contexts, focusing specifically on adu…
HTN-Based Tutors: A New Intelligent Tutoring Framework Based on Hierarchical Task Networks
Momin N. Siddiqui, Adit Gupta, Jennifer M. Reddig +1
Intelligent tutors have shown success in delivering a personalized and adaptive learning experience. However, there exist challenges regarding the granularity of knowledge in exist…
Visualizing Intelligent Tutor Interactions for Responsive Pedagogy
Grace Guo, Aishwarya Mudgal Sunil Kumar, Adit Gupta +3
Intelligent tutoring systems leverage AI models of expert learning and student knowledge to deliver personalized tutoring to students. While these intelligent tutors have demonstra…
Apprentice Tutor Builder: A Platform For Users to Create and Personalize Intelligent Tutors
Glen Smith, Adit Gupta, Christopher MacLellan
Intelligent tutoring systems (ITS) are effective for improving students' learning outcomes. However, their development is often complex, time-consuming, and requires specialized pr…