Papers with ITS

3 papers
CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principles (2023.findings-emnlp)

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Challenge: CLASS empowers ITS with two key capabilities: first, it equips it with essential problem-solving strategies, and second, it facilitates natural language interactions, fostering engaging student-tutor conversations.
Approach: They propose a design framework called Conversational Learning with Analytical Step-by-Step Strategies (CLASS) that empowers ITS with two key capabilities: first, a carefully curated dataset and second, facilitating natural language interactions.
Outcome: The proposed framework empowers ITS with two key capabilities: first, it equips it with essential problem-solving strategies, and second, it facilitates natural language interactions, fostering engaging student-tutor conversations.
WaterPool: A Language Model Watermark Mitigating Trade-Offs among Imperceptibility, Efficacy and Robustness (2025.naacl-long)

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Challenge: Existing methods to trace the usage of large language models often face trade-offs between imperceptibility and robustness.
Approach: They propose a key-centered scheme to unify existing methods by decomposing a watermark into two components: a 'key module' and a "mark module".
Outcome: The proposed method can be integrated with existing methods and achieve near-optimal imperceptibility and detection efficacy.
Revita: a Language-learning Platform at the Intersection of ITS and CALL (L18-1)

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Challenge: Existing language-learning tools do not address the fundamental requirements of language learners and teachers.
Approach: They propose a free-to-use platform for language learning beyond the beginner level . they outline the established desiderata of CALL and ITS .
Outcome: The proposed platform supports language learning beyond the beginner level.

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