Scholarlink

Cross-reality laboratories such as digital twins are now increasingly making their way into university laboratory learning at all levels of study in STEM subjects. In addition to subject-related skills development, students can also generate skills for collaborative, agile learning 4.0. The collaborative project KICK 4.0 picks up on these lines of development, but links them with completely new types of AI skills requirements that are becoming increasingly necessary with the growing spread of AI-based natural language processing systems in an evolving workplace. By actively engaging students, teachers and other stakeholders in reflecting upon both the potential and limitations of human–AI collaboration, this project contributes significantly to preparing future professionals for dynamic occupational contexts. This chapter provides an overview of current research, assesses contemporary AI tools and their applicability in educational settings, and critically examines experiences arising from human–AI interactions in the XR-based instructional laboratory. Ultimately, by defining a first draft of pedagogical requirements, KICK 4.0 underscores the importance of thoughtful integration of emerging technologies into education in general and laboratory instruction in particular to sustainably enhance human skillsets and maintain meaningful human engagement in collaborative work environments.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Reflective Human–AI Collaboration: Preparing STEM Students for Future Work with XR Labs and LLM Technologies

  • 章节

  • 发表日期：

    2026年

查看全文
  • Claudius Terkowsky,
  • Nils Kaufhold,
  • Alina Meimers,
  • Justus Göring,
  • Maryam Saydah,
  • Marcel Schade,
  • Konrad Boettcher,
  • Johannes Kubasch,
  • Dominik May,
  • Uwe Wilkesmann

摘要

Cross-reality laboratories such as digital twins are now increasingly making their way into university laboratory learning at all levels of study in STEM subjects. In addition to subject-related skills development, students can also generate skills for collaborative, agile learning 4.0. The collaborative project KICK 4.0 picks up on these lines of development, but links them with completely new types of AI skills requirements that are becoming increasingly necessary with the growing spread of AI-based natural language processing systems in an evolving workplace. By actively engaging students, teachers and other stakeholders in reflecting upon both the potential and limitations of human–AI collaboration, this project contributes significantly to preparing future professionals for dynamic occupational contexts. This chapter provides an overview of current research, assesses contemporary AI tools and their applicability in educational settings, and critically examines experiences arising from human–AI interactions in the XR-based instructional laboratory. Ultimately, by defining a first draft of pedagogical requirements, KICK 4.0 underscores the importance of thoughtful integration of emerging technologies into education in general and laboratory instruction in particular to sustainably enhance human skillsets and maintain meaningful human engagement in collaborative work environments.