[CANCELLED] Quo Vadis Language Teaching for STEM and Management Students in Times of AI: Experiences, Strategies, and Future (75521)

Session Information: Artificial Intelligence
Session Chair: Huifen Lin

Saturday, 11 November 2023 14:15
Session: Session 3
Room: Kirimas
Presentation Type: Paper Presentation

All presentation times are UTC + 7 (Asia/Bangkok)

This presentation offers a comprehensive view of our experiences with AI integration in university language teaching, our strategic approach, and envisioned developments in competency-based language education, primarily focusing on STEM and Management students at the Language Center of the Technical University of Munich, Germany.
Our AI integration approach prioritizes preparing students for their professional journey by actively utilizing electronic text optimization tools in assessments. These challenges aim to encourage students to identify and address AI-generated weaknesses, fostering critical thinking and adaptability to evolving AI technologies.
Central to our strategy is the understanding and effective use of AI-based technologies, particularly ChatGPT. Since autumn 2022, we have been continuously collaborating with colleagues and AI-savvy teaching experts, actively refining our competencies through experimental implementation of ChatGPT in teaching. By integrating ChatGPT into Moodle, we aim to provide automated support, making language learning accessible and personalized for our students.
While embracing AI, we are committed to updating curricula to equip students with the competence to use these tools thoughtfully. Our focus lies in nurturing critical thinking and collaboration during language and knowledge engagement.
In conclusion, this abstract illuminates our experiences with AI integration, proactive strategies, and commitment to harnessing AI's potential. We aim to empower STEM and Management students to confidently navigate AI-driven language learning, envisioning a future where AI enhances education while preserving the human touch in teaching and learning. As we forge ahead, our vision for language education involves leveraging AI to enrich the learning experience and enable students to thrive in both academic and professional endeavors. By striking a balance between technology and human guidance, we aim to equip our students with the necessary skills to become proficient and reflective users of AI tools.

Abstract Summary
This presentation provides insights into the integration of AI in university language teaching at the Technical University of Munich, Germany. It showcases the strategic approach and anticipated developments in competency-based language education, with a particular focus on STEM and Management students. The emphasis lies in preparing students for their professional journey, achieved through the effective utilization of AI-based technologies. Moreover, the presentation highlights the commitment to equip students with AI competence and nurturing critical thinking. The ultimate aim is to empower STEM and Management students to confidently navigate AI-driven language learning, thereby enhancing the overall educational experience while maintaining the human touch.

Denise Lichtig, Technical University of Munich, Germany

About the Presenter(s)
Ms Denise Lichtig is a Business Manager at Technical University of Munich in Germany

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