LATIDIA · Investigación

Tutor de IA de múltiples fuentes para estudiantes no nativos de habla inglesa

arXiv: 2610.22163v1Tipo de anuncio: nuevo Resumen: Los modelos de lenguaje grandes (LLM) se están adoptando cada vez más como herramientas de enseñanza en la educación informática, particularmente para desarrollar tutores de IA capaces de responder a las preguntas de los estudiantes

La noticia

arXiv:2610.22163v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly being adopted as teaching tools in computing education, particularly for developing AI tutors capable of answering student questions. With the rise in enrollment of international students in computing programs, researchers have begun to explore the difficulties that non-native English speaker (NNES) students face in computing courses due to language barriers. To aid such students, we developed a general-purpose AI tutor system that can process student questions in foreign languages (currently focused on Mandarin) and provide bilingual responses. Our system also incorporates the functionality of generating a glossary of technical terms and their explanations to enhance comprehension. Our approach utilizes