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LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction

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arxiv 2310.05191 v2 pith:F6AEXHBB submitted 2023-10-08 cs.CL

LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction

classification cs.CL
keywords llm-as-a-tutoreducationwritingfeedbackinteractionassesscontextenglish
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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In the context of English as a Foreign Language (EFL) writing education, LLM-as-a-tutor can assist students by providing real-time feedback on their essays. However, challenges arise in assessing LLM-as-a-tutor due to differing standards between educational and general use cases. To bridge this gap, we integrate pedagogical principles to assess student-LLM interaction. First, we explore how LLMs can function as English tutors, providing effective essay feedback tailored to students. Second, we propose three metrics to evaluate LLM-as-a-tutor specifically designed for EFL writing education, emphasizing pedagogical aspects. In this process, EFL experts evaluate the feedback from LLM-as-a-tutor regarding quality and characteristics. On the other hand, EFL learners assess their learning outcomes from interaction with LLM-as-a-tutor. This approach lays the groundwork for developing LLMs-as-a-tutor tailored to the needs of EFL learners, advancing the effectiveness of writing education in this context.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs

    cs.AI 2026-05 unverdicted novelty 6.0

    PERSA combines RLHF with selective parameter-efficient updates to top transformer layers, raising style alignment scores from 35% to 96% on code feedback benchmarks while holding correctness near 100%.

  2. MAPLE: A Meta-learning Framework for Cross-Prompt Essay Scoring

    cs.CL 2026-04 unverdicted novelty 5.0

    MAPLE uses meta-learning with prototypical networks to learn transferable representations and achieves state-of-the-art cross-prompt essay scoring on ELLIPSE, LAILA, and parts of ASAP datasets.

  3. The Crutch or the Ceiling? How Different Generations of LLMs Shape EFL Student Writings

    cs.HC 2026-04 unverdicted novelty 4.0

    Advanced LLMs improve EFL writing scores and diversity for lower-proficiency students but correlate with lower expert ratings on deep coherence, acting more as crutches than scaffolds.