Revolution in education: How AI changes learning for students!

Die TU Dortmund fördert KI in der Lehre mit neuen Tools, Zugang zur Academic Cloud und innovative Ansätze für Studierende.
The TU Dortmund promotes AI in teaching with new tools, access to the Academic Cloud and innovative approaches for students. (Symbolbild/ANAG)

Revolution in education: How AI changes learning for students!

The Technical University of Dortmund has taken an important step towards digital education and the integration of artificial intelligence (AI) into university. Since April 2023, access to Campus-KI and the Academic Cloud has been offered for all university members at the TU Dortmund to promote exploration of AI applications. This is done under the title "KI: Connect.nrw", an initiative based on a successful pilot project of RWTH Aachen.

Access to Campus-KI comprises two versions of Chatgpt-4O-a mini version and a full version. These models enable both the processing of texts and images, but have differences in their performance and the generation duration. Users can provide a high contingent of inquiries per hour. All inquiries are sent anonymously to a server in Europe, with which the TU Dortmund has no access to personal data.

applications and advantages of chatt

Since the public introduction of Chatgpt on November 30, 2022, the AI ​​chatbot has proven to be formative for the field of education. Aljoscha Burchardt, an expert on the DFKI, condenses the views of numerous students. They report that the use of Chatgpt brings with it a significant increase in efficiency. Tasks are done faster and more precisely, whereby repetitive activities take a back seat. The chatbot shows its strengths, especially in literature research and when combining abstracts.

Henri Zalbertus and Jan Plüer, both Research Assistants at the TUM School of Management, underline that Chatgpt is not intended as a replacement for traditional learning methods. Instead, you can see generative AI as a valuable assistant tool. Improving the student's writing style is another positive side effect that many users confirm.

challenges and risks

The implementation of AI does not only bring advantages. There are concerns about accepting personal interaction and the risk of spreading disinformation. According to an analysis on the role of AI in education, these risks must be taken seriously, since algorithmic decisions can also promote distortions and discrimination. Excessive trust in technology could also increase existing inequalities in the field of education.

To meet these challenges, it is advisable to develop a responsible handling of AI. Transparent use, guarantee data protection and the establishment of ethical guidelines are essential. In addition, educational institutions should promote their students in digital competence so that they acquire the right skills in dealing with AI.

future developments and use

The future of education could be profoundly influenced by AI. Automated evaluation systems and intelligent tutoring systems have the potential to support teachers and create individual learning paths. Nevertheless, it is crucial that the implementation of AI always takes place with the focus on ethical standards and data protection. A balanced view of all opportunities and risks is a top priority.

The TU Dortmund relies on a comprehensive approach with its service portal that offers information on other AI tools and a resource hub. In addition, an information area continues to work on the right -wing use of AI in studying, teaching, exams, research and administration. This holistic approach could contribute to the creation of a contemporary teaching and learning situation that meets the challenges of the digital age.

The integration of AI into the educational landscape challenges both teachers and students. It is up to you to use the possibilities sensibly and at the same time keep an eye on the associated risks. The TU Dortmund shows what an innovative and responsible approach to AI can look like in the education sector, and these developments are crucial for the future design of learning processes.

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