3 papers
cs.CL2026
Towards Pedagogically Aligned LLM Tutors for Math Mistake Remediation
Kseniia Petukhova, Tien Dat Nguyen, Ekaterina Kochmar
Large language models have strong potential for use in intelligent tutoring systems, but they often fail to follow effective pedagogical strategies, such as guiding students withou…
cs.CL2026
Teaching Through Analogies: A Modular Pipeline for Educational Analogy Generation
Mariam Barakat, Ekaterina Kochmar
Analogies help learners understand unfamiliar concepts by relating them to known concepts. Despite recent advances, large language models (LLMs) continue to struggle to generate an…
cs.CL2026
Listen, Correct, and Feed Back: Spoken Pedagogical Feedback Generation
Junhong Liang, Yifan Lu, Ekaterina Kochmar +1
Grammatical error correction (GEC) and explanation (GEE) have made rapid progress, but real teaching scenarios also require \emph{learner-friendly pedagogical feedback} that is act…