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<p>This article addresses the United Nations’ goal of high-quality education through the use of Generative Artificial Intelligence to adapt learning texts. By tailoring learning materials to individual and group-based interests, their accessibility and relevance are to be enhanced. To implement this adaptation, a&#xa0;Large Language Model with a&#xa0;customized prompt is used. Evaluation results show that personalized texts are more accepted compared to standardized texts, whereas adjustments at the group level are less effective. To fully leverage the potential of this technology in the future and ensure careful alignment between learners’ interests and the learning content, close collaboration between technology and educational methods involving teachers is required.</p>

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Bildung nach Maß: Ein Ansatz zur Adaption von Lerntexten durch generative Künstliche Intelligenz

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月20日

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  • Daniel Stattkus,
  • Laura Hein,
  • Oliver Thomas

摘要

This article addresses the United Nations’ goal of high-quality education through the use of Generative Artificial Intelligence to adapt learning texts. By tailoring learning materials to individual and group-based interests, their accessibility and relevance are to be enhanced. To implement this adaptation, a Large Language Model with a customized prompt is used. Evaluation results show that personalized texts are more accepted compared to standardized texts, whereas adjustments at the group level are less effective. To fully leverage the potential of this technology in the future and ensure careful alignment between learners’ interests and the learning content, close collaboration between technology and educational methods involving teachers is required.