Papers Skill Mastery
“Skill Mastery” 태그가 달린 논문 15편 · 필터 해제
Estimating Learners' Skill Acquisition Without Temporal Information
Recent research in educational data mining, especially knowledge tracing, has focused on predicting learners' future knowledge states to support adaptive instruction. However, in many real-world educational settings, lea…
Knowledge TracingSkill MasterySkillMaster: Toward Autonomous Skill Mastery in LLM Agents
Skills provide an effective mechanism for improving LLM agents on complex tasks, yet in existing agent frameworks, their creation, refinement, and selection are typically governed by external teachers, hand-designed rule…
Skill MasteryScaling Coding Agents via Atomic Skills
Current LLM coding agents are predominantly trained on composite benchmarks (e.g., bug fixing), which often leads to task-specific overfitting and limited generalization. To address this, we propose a novel scaling parad…
Skill MasteryFrom Prior to Pro: Efficient Skill Mastery via Distribution Contractive RL Finetuning
We introduce Distribution Contractive Reinforcement Learning (DICE-RL), a framework that uses reinforcement learning (RL) as a "distribution contraction" operator to refine pretrained generative robot policies. DICE-RL t…
Reinforcement LearningSkill MasteryProblems With Large Language Models for Learner Modelling: Why LLMs Alone Fall Short for Responsible Tutoring in K--12 Education
The rapid rise of large language model (LLM)-based tutors in K--12 education has fostered a misconception that generative models can replace traditional learner modelling for adaptive instruction. This is especially prob…
Knowledge TracingSkill MasteryEnhanced Interpretable Knowledge Tracing for Students Performance Prediction with Human understandable Feature Space
Knowledge Tracing (KT) plays a central role in assessing students skill mastery and predicting their future performance. While deep learning based KT models achieve superior predictive accuracy compared to traditional me…
Knowledge TracingSkill MasteryRAG-PRISM: A Personalized, Rapid, and Immersive Skill Mastery Framework with Adaptive Retrieval-Augmented Tutoring
The rapid digital transformation of Fourth Industrial Revolution (4IR) systems is reshaping workforce needs, widening skill gaps, especially for older workers. With growing emphasis on STEM skills such as robotics, autom…
Skill MasteryHierarchical Bayesian Knowledge Tracing in Undergraduate Engineering Education
Educators teaching entry-level university engineering modules face the challenge of identifying which topics students find most difficult and how to support diverse student needs effectively. This study demonstrates a ri…
Knowledge TracingSkill MasteryIMBUE: Improving Interpersonal Effectiveness through Simulation and Just-in-time Feedback with Human-Language Model Interaction
Navigating certain communication situations can be challenging due to individuals' lack of skills and the interference of strong emotions. However, effective learning opportunities are rarely accessible. In this work, we…
Language ModelingLanguage ModellingSkill MasteryA Generalist Agent
Inspired by progress in large-scale language modeling, we apply a similar approach towards building a single generalist agent beyond the realm of text outputs. The agent, which we refer to as Gato, works as a multi-modal…
Language ModelingLanguage ModellingSkill GeneralizationSkill MasteryGPT-based Open-Ended Knowledge Tracing
In education applications, knowledge tracing refers to the problem of estimating students' time-varying concept/skill mastery level from their past responses to questions and predicting their future performance. One key …
Code GenerationKnowledge TracingNavigateProgram Synthesis+1Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations
Intelligent Tutoring Systems have become critically important in future learning environments. Knowledge Tracing (KT) is a crucial part of that system. It is about inferring the skill mastery of students and predicting t…
Deep LearningDiagnosticKnowledge TracingPrediction+1Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
We study the problem of robotic stacking with objects of complex geometry. We propose a challenging and diverse set of such objects that was carefully designed to require strategies beyond a simple "pick-and-place" solut…
Offline RLReinforcement Learning (RL)Skill GeneralizationSkill MasteryOption Tracing: Beyond Correctness Analysis in Knowledge Tracing
Knowledge tracing refers to a family of methods that estimate each student's knowledge component/skill mastery level from their past responses to questions. One key limitation of most existing knowledge tracing methods i…
Knowledge TracingMultiple-choiceSkill MasteryBKT-LSTM: Efficient Student Modeling for knowledge tracing and student performance prediction
Recently, we have seen a rapid rise in usage of online educational platforms. The personalized education became crucially important in future learning environments. Knowledge tracing (KT) refers to the detection of stude…
Knowledge TracingPredictionSkill Mastery