Empowering Teachers: Leveraging AI Tools to Alleviate Workload and Enhance Educational Practices (88521)
Session Chair: Shonn Cheng
Friday, 29 November 2024 13:20
Session: Session 3
Room: Live-Stream Room 2
Presentation Type: Live-Stream Presentation
The increasing workload on teachers in Germany has highlighted the potential for AI tools to provide much-needed support within the educational system. An in-depth analysis of 9 teachers' burdens and their corresponding needs revealed that the most significant challenges lie in grade and exam management, correction tasks, school organization, interactions with colleagues and parents, and the preparation of teaching materials. Despite the recognized need, no teachers reported currently using AI tools for correction, indicating a significant opportunity to reduce workload through targeted investments and overcoming implementation barriers. Additional potential for AI applications was identified in school organization and related areas, such as class scheduling, classroom management, and administrative tasks, which could benefit from automation.
The study also explored existing AI tools in educational practice, noting that while their use is currently limited, tools like “ChatGPT” for generating worksheets, “Fiete” for personalized feedback in language classes, and "to teach" for lesson planning are already making a difference. Furthermore, the digital platform "forbizz" was highlighted as a resource for teachers seeking AI-assisted tools, educational materials, and professional development.
For AI tools to effectively alleviate teachers' workload, several prerequisites must be met. The most critical need is for comprehensive professional development, ideally mandatory and with direct application to classroom practice. Teachers also emphasized the importance of extending this training to students through computer science education and informing parents to prevent potential conflicts. Finally, time for teachers to familiarize themselves with these tools, along with financial support for licenses and subscriptions, is essential.
Authors:
Sven Kottmann, Stuttgart Media University, Germany
Lena Dillmann, Stuttgart Media University, Germany
Jürgen Seitz, Stuttgart Media University, Germany
About the Presenter(s)
Sven Kottmann is currently a Researcher at the Institute for Applied Artificial Intelligence, Stuttgart Media University, Germany
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