Between Syntax and Culture: ChatGPT as a Language Learning Tool for German
Abstract
Artificial Intelligence (AI) tools like ChatGPT are increasingly being integrated into education, aiding both students and teachers in tasks such as lesson planning, personalized learning, and academic support. While AI enhances language education by offering tailored materials and support, concerns remain about its ability to understand and teach language within its full cultural and contextual depth. This study explores whether ChatGPT can truly engage with the Interlanguage (IL) and intercultural aspects of language learning, which are essential for developing a meaningful and authentic linguistic identity.
Keywords
Artificial intelligence in learning, Artificial intelligence in deutsch als fremdsprache, Interlanguge Hypothesis, Culture, Artificial intelligenceReferences (20)
- [1] Karunkuzhali, D., Meenakshi, B., & Lingam, K. (2024). A QoS-aware routing approach for Internet of Things-enabled wireless sensor networks in smart cities. Multimedia tools and applications, 1–27. https://doi.org/10.1007/s11042-024-18125-y
- [2] Lai, R., Zhang, B., Gong, G., Yuan, H., Yang, J., Zhang, J., & Zhou, M. (2024). Energy-efficient scheduling in UAV-assisted hierarchical wireless sensor networks. IEEE internet of things journal. https://doi.org/10.1109/JIOT.2024.3369722
- [3] Barnwal, S. K., & Prakash, A. (2024). Comparative analysis of LEACH network routing protocol in wireless sensor networks: A survey. Wireless personal communications, 135(2), 697–726. https://doi.org/10.1007/s11277-024-11049-8
- [4] Najm, I. A., Hamoud, A. K., Lloret, J., & Bosch, I. (2019). Machine learning prediction approach to enhance congestion control in 5G IoT environment. Electronics, 8(6), 607. https://doi.org/10.3390/electronics8060607
- [5] Köhler, S., & Binzenhöfer, A. (2003). MPLS traffic engineering in OSPF networks—a combined approach. In Teletraffic science and engineering (Vol. 5, pp. 21–30). Elsevier. https://doi.org/10.1016/S1388-3437(03)80147-6
- [6] Yadav, R., & Kumar, V. (2024). A Systematic Review Paper on Energy-Efficient Routing Protocols in Internet of Things. IETE journal of research, 70(5), 4721–4743. https://www.tandfonline.com/doi/abs/10.1080/03772063.2023.2230169
- [7] Verma, S. (2022). Energy-efficient routing paradigm for resource-constrained Internet of Things-based cognitive smart city. Expert systems, 39(5), e12905. https://doi.org/10.1111/exsy.12905
- [8] El-Mougy, A., Al-Shiab, I., & Ibnkahla, M. (2019). Scalable personalized IoT networks. Proceedings of the ieee, 107(4), 695–710. https://doi.org/10.1109/JPROC.2019.2894515
- [9] Abdulghani, R. M., Alrehili, M. M., Almuhanna, A. A., & Alhazmi, O. H. (2020). Vulnerabilities and security issues in IoT protocols. 2020 First international conference of smart systems and emerging technologies (SMARTTECH) (pp. 7-12). IEEE. https://doi.org/10.1109/SMART-TECH49988.2020.00020
- [10] Kasturi, S. B., Reddy, P. V., VenkataNagendra, K., Madhavi, M. R., & Jha, S. K. (2022). An improved energy efficient solution for routing in IoT. Journal of pharmaceutical negative results, 13(6), 1683–1691. https://www.academia.edu/download/109280495/jpnr-2022-S06-221__281683-1691_29.pdf_filename_UTF-8jpnr-2022-S06-221__281683-1691_29.pdf
- [11] Tang, F., Mao, B., Kato, N., & Gui, G. (2021). Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges. IEEE communications surveys & tutorials, 23(3), 2027–2057. https://doi.org/10.1109/COMST.2021.3089688
- [12] Bekal, P., Kumar, P., Mane, P. R., & Prabhu, G. (2024). A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks. F1000Research, 12, 644. https://doi.org/10.12688/f1000research.133874.3
- [13] Mohapatra, H., & Rath, A. K. (2020). Survey on fault tolerance-based clustering evolution in WSN. IET networks, 9(4), 145–155. https://doi.org/10.1049/iet-net.2019.0155
- [14] Mohapatra, H., & Rath, A. K. (2019). Detection and avoidance of water loss through municipality taps in India by using smart taps and ICT. IET wireless sensor systems, 9(6), 447–457. https://doi.org/10.1049/iet-wss.2019.0081
- [15] Kamel, H., & Abed, A. A. (2024). Blockchain-enhanced secure routing protocols for vehicular ad hoc networks: a comprehensive review. 2024 IEEE 7th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) (pp. 624-630). IEEE. https://doi.org/10.1109/AUTEEE62881.2024.10869679
- [16] Al-Janabi, T. A., & Al-Raweshidy, H. S. (2018). A centralized routing protocol with a scheduled mobile sink-based AI for large scale I-IoT. IEEE sensors journal, 18(24), 10248–10261. https://doi.org/10.1109/JSEN.2018.2873681
- [17] Raj, J. S., Basar, A., & others. (2019). QoS optimization of energy efficient routing in IoT wireless sensor networks. Journal of ismac, 1(01), 12–23. https://www.academia.edu/download/76164096/02.pdf
- [18] Natarajan, Y., Srihari, K., Dhiman, G., Chandragandhi, S., Gheisari, M., Liu, Y., … Alharbi, H. F. (2022). An IoT and machine learning-based routing protocol for reconfigurable engineering application. IET communications, 16(5), 464–475. https://doi.org/10.1049/cmu2.12266
- [19] Esenogho, E., Djouani, K., & Kurien, A. M. (2022). Integrating artificial intelligence Internet of Things and 5G for next-generation smartgrid: A survey of trends challenges and prospect. Ieee access, 10, 4794–4831. https://doi.org/10.1109/ACCESS.2022.3140595
- [20] Shafique, K., Khawaja, B. A., Sabir, F., Qazi, S., & Mustaqim, M. (2020). Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios. IEEE access, 8, 23022–23040. https://doi.org/10.1109/ACCESS.2020.2970118