Poster-Präsentationen
Train DL Summit 2024: Bridging the Gap: Research-based Professional Development for Teachers in the Field of Artificial Intelligence
Authors: Annabel Lindner, Michaela Müller-Unterweger, Marc Berges
Poster sources:
I. Diethelm, P. Hubwieser, and R. Klaus, “Students, Teachers and Phenomena: Educational Reconstruction for Computer Science Education,” in Proceedings of the 12th Koli Calling International Conference on Computing Education Research, in Koli Calling ’12. Koli, Finland: Association for Computing Machinery, 2012, pp. 164–173. doi: 10.1145/2401796.2401823.
S. Prediger, S. Schnell, and K.-A. Rösike, “Design Research with a focus on content-specific professionalization processes: The case of noticing students’ potentials,” in Proceedings of the third ERME topic conference on mathematics teaching, resources and teacher professional development, S. Zehetmeier, B. Rösken-Winter, D. Potari, and M. Ribeiro, Eds., Humboldt-Universität & HAL Archive Berlin, 2016, pp. 96–105.
FAU-Auftakttreffen BMBF-Projekte zu digitalem Lehren und Lernen und zu digitaler Transformation von Schule: KI für Schulleitungen – DBR-basierte Konzeption von Fortbildungsangeboten zum Thema Künstliche Intelligenz
Autoren: Jonas Vollhardt, Marc Berges
Quellenangaben:
| [1]: | Röhl, T. (2022). Digital Leadership?: Schulen im digitalen Wandel führen. schule verantworten | führungskultur_innovation_autonomie, 1, 69–73. https://doi.org/10.53349/sv.2022.i1.a185 |
| [2]: | Creusen, U., Gall, B., & Hackl, O. (2017). Digital Leadership. Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-17812-3 Kane, G. C., Phillips, A. N., Copulsky, J., & Andrus, G. (2019). How Digital Leadership Is(n’t) Different. MIT Sloan Management Review, 60(3), 34–39. ABI/INFORM Collection. Kultusministerkonferenz. (2021). Lehren und Lernen in der digitalen Welt – Ergänzung zur Strategie der Kultusministerkonferenz „Bildung in der digitalen Welt“. Waffner, B. (2021). Schulentwicklung in der digital geprägten Welt: Strategien, Rahmenbedingungen und Implikationen für Schulleitungshandeln. In A. Wilmers, M. Achenbach, & C. Keller (Hrsg.), Bildung im digitalen Wandel. Organisationsentwicklung in Bildungseinrichtungen (DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation; Bd. 2, S. 67–103). Waxmann. https://www.pedocs.de/volltexte/2021/23605/ |
| [3]: | Fullan, M., Azorín, C., Harris, A., & Jones, M. (2023). Artificial intelligence and school leadership: Challenges, opportunities and implications. School Leadership & Management, 1–8. https://doi.org/10.1080/13632434.2023.2246856 Huang, M.-H., Rust, R., & Maksimovic, V. (2019). The Feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI). California Management Review, 61(4), 43–65. https://doi.org/10.1177/0008125619863436 Igbokwe, I. C. (2023). Application of Artificial Intelligence (AI) in Educational Management. International Journal of Scientific and Research Publications, 13(3). https://doi.org/10.29322/IJSRP.13.03.2023.p13536 Tyson, M. (2020). Educational Leadership in the Age of Artificial Intelligence [Georgia State University]. https://doi.org/10.57709/18723065 |
INFOS 2023: Ab an die Kiste: Konzeption eines mobilen Lernlabors zu KI
Autor:innen: Annabel Lindner, Marc Berges, Mathias Rösch, Florian Franke
Quellenangaben:
Lindner, A.: Designing a Teacher PD Programme for AI – First Steps. In: The 16th Workshop in Primary and Secondary Computing Education. WiPSCE `21, ACM, New York (2021).
Long, D., Magerko, B.: What Is AI Literacy? Competencies and Design Considerations. In: Proceedings of the 2020 ACM Conference on Human Factors in Computing Systems. CHI `20, ACM, New York (2020).
Michaeli, T., Romeike, R., Seegerer. S.: What Students can Learn about Artificial Intelligence – Recommendations for K-12 Computing Education. In: Proceedings of IFIP WCCE 2022: World Conference on Computers in Education. Hiroshima (2022).
Touretzky, D., Gardener-McCune, C., Martin, F., Seehorn, D.: Envisioning AI for K-12: What Should Every Child Know about AI? In: The Thrity-Thrid AAAI Conference on Artificial Intelligence. AAAI (2019).
WiPSCE 2021: Designing a Teacher PD Programme for AI – First Steps
Author: Annabel Lindner
Poster sources:
ACM. 2012. ACM Computing Classification System. Retrieved July 16, 2021 from https://dl.acm.org/ccs
ACM Data Science Task Force. 2021. Computing Competencies for Undergraduate Data Science Curricula.
Günther Görz, Ute Schmid, and Tanya Braun. 2021. Handbuch der Künstlichen Intelligenz (6 ed.). De Gruyter, Berlin, Boston.
Duri Long and Brian Magerko. 2020. What is AI Literacy? Competencies and Design Considerations. In Proceedings of the 2020 ACM Conference on Human Factors in Computing Systems (CHI 2020) (Honolulu, HI, USA, 2020) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–16.
Stuart Russell and Peter Norvig. 2016. Artificial Intelligence: A Modern Approach, Global Edition. Addison Wesley.
The Joint Task Force on Computing Curricula – ACM, IEEE. 2013. Computer Science Curricula 2013: Curriculum Guidelines for Undergraduate Degree Programs in Computer Science.
David Touretzky, Christina Gardner-McCune, Fred Martin, and Deborah Seehorn. 2019. Envisioning AI for K-12: What Should Every Child Know about AI?. In The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19). Association for the Advancement of Artificial Intelligence.