Papers with online education

3 papers
DT-QDC: A Dataset for Question Comprehension in Online Test (2020.coling-main)

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Challenge: Existing methods to measure difficulty of questions are not accurate enough to guide learning.
Approach: They propose to use a Chinese DT-QDC dataset to measure difficulty of questions and provide a new model that can improve the judgment of difficulty from different perspectives.
Outcome: The proposed methods outperform baselines by 7.79% on F1-score and 15.92% on MAE, 28.26% on MSE, and 28.2% on MSC on the new DT-QDC dataset.
A Corpus for Suggestion Mining of German Peer Feedback (2022.lrec-1)

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Challenge: e.g. Massive Open Online Courses (MOOCs) are increasingly important to meet the demand for feedback in large scale classes.
Approach: They propose to use peer feedback to detect suggestions on how to improve the work of students in a german university course.
Outcome: The proposed corpus is the first student peer feedback corpus in germany and has been labelled with a new annotation scheme.
SocialCC: Interactive Evaluation for Cultural Competence in Language Agents (2025.acl-long)

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Challenge: Existing studies have evaluated cultural knowledge of large language models, but they fail to assess dynamic cultural competence.
Approach: They propose a benchmark to assess cultural competence through intercultural scenarios that span 60 countries across six continents.
Outcome: The proposed benchmark measures the ability of large language models to apply cultural knowledge effectively in cross-cultural interactions.

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