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Auflistung nach Schlagwort "Artificial Intelligence in Education"

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  • Konferenzbeitrag
    Energy Consumption of AI in Education: A Case Study
    (21. Fachtagung Bildungstechnologien (DELFI), 2023) Bültemann, Marlene; Rzepka, Nathalie; Junger, Dennis; Simbeck, Katharina; Müller, Hans-Georg
    Although the utilization of AI in education has grown considerably in the last decade, its environmental impact has been disregarded thus far. In this paper, we examine the energy consumption of Artificial Intelligence (AI) in education, which is employed, for instance, in adaptive learning. We measured the energy requirements of four AI implementations used on the student learning platform orthografietrainer.net. We found that two of the implementations have notably low energy and CPU demands in comparison to the baseline, while in two other implementations, these parameters are significantly higher. We conclude that more attention should be paid to whether the comparable performance of AI in education can be achieved with lower energy consumption.
  • Conference paper
    A Multidisciplinary Approach to AI-based self-motivated Learning and Teaching with Large Language Models
    (Proceedings of DELFI 2024, 2024) Ranzenberger, Thomas; Freier, Carolin; Reinold, Luca; Riedhammer, Korbinian; Schneider, Fabian; Simic, Christopher; Simon, Claudia; Freisinger, Steffen; Georges, Munir; Bocklet, Tobias
    We present a learning experience platform that uses machine learning methods to support students and lecturers in self-motivated online learning and teaching processes. The platform is being developed as an agile open-source collaborative project supported by multiple universities and partners. The development is guided didactically, reviewed, and scientifically evaluated in several cycles. Transparency, data protection and the copyright compliant use of the system is a central part of the project. The system further employs large language models (LLMs). Due to privacy concerns, we utilize locally hosted LLM instances and explicitly do not rely on available cloud products. Students and lecturers can interact with an LLM-based chatbot in the current prototype. The AI-generated outputs contain cross-references to the current educational video’s context, indicating if sections are based on the lectures context or world knowledge. We present the prototype and results of our qualitative evaluation from the perspective of lecturers and students.