Curiosity-oriented linguistic interventions in LLM tutoring dialogues increased exploratory learner behaviors up to 2.4x across 270 conversations spanning multiple models and domains.
arXiv preprint arXiv:2306.10052 , year=
4 Pith papers cite this work. Polarity classification is still indexing.
years
2026 4representative citing papers
A deployed voice-AI oral exam graded by a deliberating three-LLM council is cheap and internally reliable (α=0.83–0.95), but its transferable value is the documented failure modes and the candidate patterns for fixing them.
Refined bottom-up categorization of LLM usage types in critical thinking homework, labeled by student initiative, shows associations with midterm performance across two course offerings.
citing papers explorer
-
Curiosity as Linguistic Intervention: Using LLM Tutoring Dialogues to Influence Exploratory Learning Behavior
Curiosity-oriented linguistic interventions in LLM tutoring dialogues increased exploratory learner behaviors up to 2.4x across 270 conversations spanning multiple models and domains.
-
Scalable and Personalized Oral Assessments Using Voice AI
A deployed voice-AI oral exam graded by a deliberating three-LLM council is cheap and internally reliable (α=0.83–0.95), but its transferable value is the documented failure modes and the candidate patterns for fixing them.
-
Characterizing Students' LLM Usage Behaviors and Their Association with Learning in Critical Thinking Tasks
Refined bottom-up categorization of LLM usage types in critical thinking homework, labeled by student initiative, shows associations with midterm performance across two course offerings.
- Toward Measuring AI's Effects on Skill Formation: The Stock-Formation Gap