AI education solution company Ellis Group (CEO Jaewon Kim) has been recognized for its excellence in education-specific AI model research at the natural language processing society 'ACL (Association for Computational Linguistics) 2025'.
Two research papers co-authored by AI engineers Do-yoon Kim and Yu-seop Lee from Ellis Group were accepted for the ACL 2025 main conference, which will be held in Vienna, Austria from July 27 to August 1. They plan to present their research results on-site from the 28th to the 30th.
The first accepted paper, 'Knowledge Tracing in Programming Education Integrating Student's Questions', proposed a deep learning model that analyzes the learner's problem-solving process using the students' question data. It was emphasized that this can predict the learner's level more accurately and quickly, enabling customized education.
In the second paper, ‘Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction’, we developed a pipeline that automatically generates incorrect answer options based on learners’ answer choice data. This can improve the discriminatory power of multiple-choice questions and enhance the accuracy of learning level assessment.
Engineer Kim Do-yoon said, “This research will contribute to creating an educational environment where learners can ask questions and grow individually,” and Engineer Lee Yu-seop said, “We will continue to conduct AI research that provides practical help in the field of education.”
Meanwhile, Ellis Group Chief Research Officer (CRO) Kim Su-in, who participated as a co-author of both papers, said, “This is a meaningful achievement that has recognized our education-specific AI model research capabilities on the international stage,” and added, “We will continue to work hard on AI research and development to create an educational environment for all.”
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