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Enhancing Language Learning Through Human-Computer Interaction and Generative AI: LATILL Platform

  • Alicia García-Holgado,
  • Andrea Vázquez-Ingelmo,
  • Nastaran Shoeibi,
  • Roberto Therón,
  • Francisco José García-Peñalvo

摘要

Reading comprehension is crucial in German as a Foreign Language (GFL) education. Despite its importance, there has been limited scholarly engagement in enhancing reading strategies and materials that align with learners’ proficiency levels, as outlined by the Common European Framework of Reference for Languages (CEFR). The LATILL project aims to address this gap by providing open educational resources tailored to the CEFR levels and a platform based on AI-tools for German as a foreign and second language teachers. A user-centred approach was adopted, utilizing Human-Computer Interaction techniques to enhance usability and the user experience of the LATILL platform. The development and deployment of the LATILL platform represents significant strides in leveraging AI and HCI to support language teaching. This work outlines the efforts to enhance the use of the platform, involving secondary school teachers of German as a foreign language from Ukraine and Spain. Two phases were conducted, one phase for testing the platform following a constructive interaction approach and a second phase for collecting feedback through focus groups.