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Artificial intelligence is revolutionizing e-learning at Chemnitz University of Technology!
With the revised e-learning course MIKA, Chemnitz University of Technology offers valuable content on information literacy and AI use.
Artificial intelligence is revolutionizing e-learning at Chemnitz University of Technology!
The University Library of Chemnitz University of Technology has revised the e-learning course “Modular course on information competence and scientific work” (MIKA). How TU Chemnitz reported, the German version of the course was already published in the winter semester 2023/2024, while the English version is now also available. The course is led by MIKA, a diverse character designed by a student at the university.
MIKA is modular, allowing users to select specific modules according to their learning needs and goals. The modules cover important topics including information search, knowledge representation and networking. This structure is supplemented by short video tutorials that serve as support. Recent revisions to the course have integrated the topic of artificial intelligence (AI). This includes, among other things, research with AI and the use of AI tools and their relationship to copyright.
Focus on target group orientation
MIKA and its counterpart LENA for students are part of the UB Strategy 2030, which aims to promote target group-oriented and modular learning offerings. The bilingual nature of the course is intended to serve international students and thus appeal to the entire target group of TUC students. MIKA is accessible via the university library’s “BIB4U” website.
The integration of AI into e-learning formats is in the context of the changing education sector. Loud Knowledge worker Although AI can optimize processes, it does not replace the crucial human factors such as empathy and didactic understanding. E-learning authors bring indispensable expertise and creative design to the teaching process that cannot be replaced by machines.
The future of learning
How LinkedIn notes, digital technologies are significantly transforming education. Classic teaching methods are increasingly reaching their limits, while digital and hybrid formats are becoming increasingly important. A key challenge is the lack of personalization, which creates frustrating experiences for both learners and teachers.
This results in consequences such as declining motivation and loss of self-confidence among learners as well as time pressure and a lack of support for teachers. The introduction of AI could serve as a solution by enabling high levels of personalization. Learners could enjoy adaptive learning paths and real-time feedback, while teachers would be relieved of the burden by automated diagnostics and recommendation systems.
The demands on the educational landscape will continue to increase in the future. AI has the potential to promote new business models and innovative approaches in the education sector. However, challenges such as data protection and ethical aspects when dealing with AI also need to be taken into account. Conscious and responsible use will be crucial to realizing the benefits of AI in education.