A new era of challenges and opportunities in education has emerged with the development of Large Language Models (LLMs). Along with these, educational content generation tools using LLMs have been created, making the task of creating courses in different fields of knowledge easy and efficient. However, the integration of XR technologies into these models remains a challenge. This paper describes the creation of an educational platform powered by LLM that allows teachers to generate personalized resources on any subject, with or without XR scenarios, and then modify and distribute these contents to students. Lesson preparation, grading, and producing instructional materials are among the duties that the platform automates. University students have been used to test the LLM tool. The evaluations’ outcomes and the items that were produced are promising.

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BabloAI: Generative AI for XR in Education

  • María Lucía Barrón Estrada,
  • Ramón Zatarain Cabada,
  • José Antonio García Serrano,
  • Manuel Alberto Sotelo Rivas,
  • Aldair González Robles

摘要

A new era of challenges and opportunities in education has emerged with the development of Large Language Models (LLMs). Along with these, educational content generation tools using LLMs have been created, making the task of creating courses in different fields of knowledge easy and efficient. However, the integration of XR technologies into these models remains a challenge. This paper describes the creation of an educational platform powered by LLM that allows teachers to generate personalized resources on any subject, with or without XR scenarios, and then modify and distribute these contents to students. Lesson preparation, grading, and producing instructional materials are among the duties that the platform automates. University students have been used to test the LLM tool. The evaluations’ outcomes and the items that were produced are promising.