3 citations · 4 across the 13 of their papers we have counts for
13 papers
Cross-Subject Predictive Validity for Learning Outcomes of Delayed Start Behavior
Jordan Gutterman, Ashish Gurung, Lee Branstetter +2
Behavioral detectors provide valuable insights into learner motivation and self-regulation. Among these, delayed start, a new session-level detector, has shown great promise as a v…
AI-Driven Assessment of Human Tutors: Linking Training Performance to Real-Life Practice
Danielle R. Thomas, Marie Cynthia Abijuru Kamikazi, Clara Brandt +2
There exist numerous tutor training platforms. However, few provide AI-driven training and evaluation for human tutors based on real-life performance. We present an AI-driven syste…
Self-Efficacy and Favorability Shape Learning from Tutoring Systems and Paper Practice
Xinfei Cen, Vincent Aleven, Kenneth R. Koedinger +2
Motivational factors such as self-efficacy and how favorably students feel toward practice play a crucial role in shaping learning, particularly in technology-supported environment…
Practice Less, Explain More: LLM-Supported Self-Explanation Improves Explanation Quality on Transfer Problems in Calculus
Eason Chen, Xinyi Tang, Yvonne Zhao +10
We conducted a between-subjects experiment (N=92) comparing three conditions in a calculus learning environment: no self-explanation (control), menu-based self-explanation, and ope…
Assessing the Impact and Underlying Pathways of Sequenced AI feedback on Student Learning
Jie Cao, Chloe Qianhui Zhao, Christian Schunn +3
Feedback is essential for learning, but its effectiveness relies heavily on how well it engages students in the educational process. Generative AI offers novel opportunities to eff…
Chat-Based Support Alone May Not Be Enough: Comparing Conversational and Embedded LLM Feedback for Mathematical Proof Learning
Eason Chen, Sophia Judicke, Kayla Beigh +18
We evaluate GPTutor, an LLM-powered tutoring system for an undergraduate discrete mathematics course. It integrates two LLM-supported tools: a structured proof-review tool that pro…
Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science
Qianou Ma, Kenneth Koedinger, Tongshuang Wu
LLMs promise to democratize technical work in complex domains like programmatic data analysis, but not everyone benefits equally. We study how students with varied experiences use…
Decomposed Inductive Procedure Learning: Learning Academic Tasks with Human-Like Data Efficiency
Daniel Weitekamp, Christopher MacLellan, Erik Harpstead +1
Human learning relies on specialization -- distinct cognitive mechanisms working together to enable rapid learning. In contrast, most modern neural networks rely on a single mechan…
Improving Automated Feedback Systems for Tutor Training in Low-Resource Scenarios through Data Augmentation
Chentianye Xu, Jionghao Lin, Tongshuang Wu +2
Tutoring is an effective instructional method for enhancing student learning, yet its success relies on the skill and experience of the tutors. This reliance presents challenges fo…
ActiveAI: Enabling K-12 AI Literacy Education & Analytics at Scale
Ruiwei Xiao, Ying-Jui Tseng, Hanqi Li +4
Interest in K-12 AI Literacy education has surged in the past year, yet large-scale learning data remains scarce despite considerable efforts in developing learning materials and r…
AI2T: Building Trustable AI Tutors by Interactively Teaching a Self-Aware Learning Agent
Daniel Weitekamp, Erik Harpstead, Kenneth Koedinger
AI2T is an interactively teachable AI for authoring intelligent tutoring systems (ITSs). Authors tutor AI2T by providing a few step-by-step solutions and then grading AI2T's own pr…
STAND: Self-Aware Precondition Induction for Interactive Task Learning
Daniel Weitekamp, Glen Smith, Kenneth Koedinger +1
In interactive task learning (ITL), AI agents learn new capabilities from limited human instruction provided during task execution. STAND is a new method of data-efficient rule pre…
GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation
Eason Chen, Jia-En Lee, Jionghao Lin +1
We developed GPTutor, a pioneering web application designed to revolutionize personalized learning by leveraging the capabilities of Generative AI at scale. GPTutor adapts educatio…