Abstract:

The research explores the innovative application of NotebookLM, an advanced AI tool designed for Natural Language Processing, in the educational domain. The study's methodology involves integrating a comprehensive set of documents related to microservices in distributed systems into the NotebookLM system. This integration allows the tool to generate multiple-choice questions tailored to specific educational needs. Key parameters such as language, number of options, and difficulty level are set to customize the questions. The aim is to assess how effectively NotebookLM can produce relevant educational content that aligns with learners' proficiency levels.

The preliminary findings indicate that NotebookLM is highly effective in generating diverse and personalized educational materials. The system successfully created questions that varied in complexity, demonstrating its ability to adapt to different learning contexts. The flexibility of the tool was evident in its capacity to handle multiple languages and formats, thereby broadening its applicability across various educational settings. However, the results also highlighted the necessity for human oversight to ensure the accuracy and pedagogical value of the questions generated.

The study concludes that NotebookLM offers a promising solution for the creation of personalized educational content, particularly in the field of distributed systems. Its ability to tailor educational materials to individual needs can significantly enhance learning experiences. Nonetheless, the research emphasizes the importance of integrating human supervision to maintain the quality and relevance of the content produced. This balance between technological innovation and human oversight is crucial to the responsible and ethical deployment of AI in education.

Keywords:

Natural Language Processing, Question Generation, NotebookML.