Proceedings of the 2nd Annual Conference of Islamic Education 2023 (ACIE 2023)

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Adaptation Strategies Of Humboldt University Berlin And University Of Leipzig To The Challenges Of Artificial Intelligence Technology In The Context Of Language Teaching

Authors
Esie Hanstein1, *
1Humboldt-Universität Zu Berlin Institut Für Asien- Und Afrikawissenschaften (IAAW) Invalidentrase, Berlin, Germany
*Corresponding author. Email: esie.hanstein@hu-berlin.de
Corresponding Author
Esie Hanstein
Available Online 31 December 2023.
DOI
10.2991/978-2-38476-182-1_22How to use a DOI?
Keywords
Artificial Intelligence Technology; Legal Regulation and Ethics of AI Use
Abstract

This research discusses the challenges and potential use of artificial intelligence (AI) technology in language teaching at Humboldt University Berlin and Leipzig University. The university recognizes the latest technological developments, such as rule-based machine translation, statistics, and neural networks. It faces challenges testing students’ translation ability without using the latest technology. Despite this, translation errors still exist on platforms such as Google Translate and Deepl, suggesting that artificial intelligence still cannot keep pace with human intelligence. The use of AI in teaching and examinations at German universities is being legally regulated, focusing on developing a foundation for acceptable applicability and limits on using AI technology, especially about ethical issues. A survey at Humboldt University shows that most students have never used AI for exams, while the use of AI in language teaching at Leipzig University has grown. However, there is still an intensive debate on AI and teaching and learning. Some students also experience a decline in the quality of learning due to dependence on technology. This research provides essential insights on using AI technology in university language education. It emphasizes the need for precise legal regulation and attention to its impact on teaching-learning and learning quality.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd Annual Conference of Islamic Education 2023 (ACIE 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
31 December 2023
ISBN
10.2991/978-2-38476-182-1_22
ISSN
2352-5398
DOI
10.2991/978-2-38476-182-1_22How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Esie Hanstein
PY  - 2023
DA  - 2023/12/31
TI  - Adaptation Strategies Of Humboldt University Berlin And University Of Leipzig To The Challenges Of Artificial Intelligence Technology In The Context Of Language Teaching
BT  - Proceedings of the  2nd Annual Conference of Islamic Education 2023 (ACIE 2023)
PB  - Atlantis Press
SP  - 127
EP  - 129
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-182-1_22
DO  - 10.2991/978-2-38476-182-1_22
ID  - Hanstein2023
ER  -