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Auflistung nach Schlagwort "AI education"

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  • Zeitschriftenartikel
    Analyzing Teacher Competency with TPACK for K-12 AI Education
    (KI - Künstliche Intelligenz: Vol. 35, No. 2, 2021) Kim, Seonghun; Jang, Yeonju; Choi, Seongyune; Kim, Woojin; Jung, Heeseok; Kim, Soohwan; Kim, Hyeoncheol
    As the need for teaching Artificial Intelligence (AI) for K-12 is increasing, discussions on what competencies teacher should have for effective teaching of AI is overlooked. In this work, we determine what teacher competencies are necessary for improving the teaching and learning of AI for K-12 with Technological Pedagogical Content Knowledge (TPACK) framework. First, we identify current AI education resources and investigate the core foundations of AI taught to K-12. Based on the findings, we propose teacher competency for K-12 AI education by analyzing AI curricula and resources using the TPACK framework. We conclude that teachers who teach AI to K-12 students require TPACK to construct, prepare an environment, and facilitate project-based classes that solve problems using AI technologies.
  • Konferenzbeitrag
    Enhancing AI Education for Business Students through Extended Reality: An Exploratory Study
    (Proceedings of Mensch und Computer 2024, 2024) Schulz, Thimo; Liu, Shi; Mädche, Alexander; Weinhardt, Christof
    Artificial Intelligence (AI) education poses challenges for business students with limited technical knowledge. This exploratory study examines the use of Extended Reality (XR) technologies to improve AI learning. Twelve business students tested three XR applications — mobile Augmented Reality (AR), headset AR, and headset Virtual Reality (VR) — focusing on AI concepts such as k-means clustering and neural networks. Focus group discussions revealed that XR technologies provide immersive, interactive experiences that enhance understanding of complex AI concepts. Students appreciated the hands-on interactivity, though preferences varied between VR and AR. Well-known issues such as motion sickness and accessibility were noted. Our findings suggest integrating XR with traditional methods to create a more effective AI learning approach, highlighting XR’s potential to equip business students with essential AI skills.
  • Konferenzbeitrag
    Foundations for applied artificial intelligence: enabling and supporting AI teaching and research
    (INFORMATIK 2023 - Designing Futures: Zukünfte gestalten, 2023) Knauer, Ricardo; Wallsberger, Raphael; Grimm, Marvin; Bookhahn, Marian; Neumann, Frank; Matzka, Stephan; Rodner, Erik
    The field of artificial intelligence (AI) has experienced tremendous advances and will undoubtedly shape a range of vertical industries over the next years. Understanding and applying AI technologies are key skills for the future and of utmost importance for virtually all disciplines. At the University of Applied Sciences Berlin, we are designing an infrastructure and community called KI-Werkstatt that allows us to tackle the challenges of applied research and teaching across vertical domains. The following paper outlines our current efforts and principles.