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A Hybrid Course System on Artificial Intelligence: Insights Into the Didactic Support of Instructors

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Abstract

In the Leibniz AIAcademy project a comprehensive system of 17 hybrid courses on the topic artificial intelligence (AI) is currently being created. To obtain a unified course system, a standardized concept, addressing organizational and formal aspects, as well as content and didactics, was initially developed and continually adjusted. To assist the instructors with the practical implementation of the concept, we acted as didactic support team and offered various workshops, guidelines, and additional support. Transforming 17 existing regular university face-to-face courses into hybrid courses is a task involving many challenges but also many insights - for the instructors as well as for the didactic support team. To gain insights into the development process of the instructors and thus optimize the support, we carried out and analyzed surveys and interviews with the instructors to identify obstacles in the process and to gather recommendations for best practices. Those results that can be useful also outside the project. We furthermore describe some learnings obtained by the didactic support team during the process.

Original languageEnglish
Title of host publication2024 IEEE 3rd German Education Conference (GECon)
Pages1-6
Number of pages6
ISBN (Electronic)979-8-3503-5575-8
DOIs
Publication statusPublished - 2024

Keywords

  • Computer science education
  • Educational courses
  • Hybrid learning
  • Learning (artificial intelligence)
  • Machine learning
  • Online learning
  • Self-study courses

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Artificial Intelligence
  • Computer Science Applications
  • Engineering (miscellaneous)
  • Education

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