TY  - JOUR
A1  - Morales-Chan, Miguel
A1  - Amado-Salvatierra, Héctor R.
A1  - Hernández-Rizzardini, Rocael
A2  - Meinel, Christoph
A2  - Schweiger, Stefanie
A2  - Staubitz, Thomas
A2  - Conrad, Robert
A2  - Alario Hoyos, Carlos
A2  - Ebner, Martin
A2  - Sancassani, Susanna
A2  - Żur, Agnieszka
A2  - Friedl, Christian
A2  - Halawa, Sherif
A2  - Gamage, Dilrukshi
A2  - Scott, Jeffrey
A2  - Kristine Jonson Carlon, May
A2  - Deville, Yves
A2  - Gaebel, Michael
A2  - Delgado Kloos, Carlos
A2  - von Schmieden, Karen
T1  - Optimizing the design, pedagogical decision-making and development of MOOCs through the use of Ai-Based tools
T2  - EMOOCs 2023 : Post-Covid Prospects for Massive Open Online Courses - Boost or Backlash?
N2  - This work explores the use of different generative AI tools in the design of MOOC courses. Authors in this experience employed a variety of AI-based tools, including natural language processing tools (e.g. Chat-GPT), and multimedia content authoring tools (e.g. DALLE-2, Midjourney, Tome.ai) to assist in the course design process. The aim was to address the unique challenges of MOOC course design, which includes to create engaging and effective content, to design interactive learning activities, and to assess student learning outcomes. The authors identified positive results with the incorporation of AI-based tools, which significantly improved the quality and effectiveness of MOOC course design. The tools proved particularly effective in analyzing and categorizing course content, identifying key learning objectives, and designing interactive learning activities that engaged students and facilitated learning. Moreover, the use of AI-based tools, streamlined the course design process, significantly reducing the time required to design and prepare the courses. In conclusion, the integration of generative AI tools into the MOOC course design process holds great potential for improving the quality and efficiency of these courses. Researchers and course designers should consider the advantages of incorporating generative AI tools into their design process to enhance their course offerings and facilitate student learning outcomes while also reducing the time and effort required for course development.
KW  - Digitale Bildung
KW  - Kursdesign
KW  - MOOC
KW  - Micro Degree
KW  - Online-Lehre
KW  - Onlinekurs
KW  - Onlinekurs-Produktion
KW  - digital education
KW  - e-learning
KW  - micro degree
KW  - micro-credential
KW  - online course creation
KW  - online course design
KW  - online teaching
Y1  - 2023
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/62387
UR  - https://nbn-resolving.org/urn:nbn:de:kobv:517-opus4-623870
SP  - 95
EP  - 103
PB  - Universitätsverlag Potsdam
CY  - Potsdam
ER  -