What is AI Literacy?Competencies and Design Considerations
Duri Long, Brian Magerko
Publikationsdatum:
|
![]() |

Zusammenfassungen
Artificial intelligence (AI) is becoming increasingly integrated in user-facing technology, but public understanding of these technologies is often limited. There is a need for additional HCI research investigating a) what competencies users need in order to effectively interact with and critically evaluate AI and b) how to design learner-centered AI technologies that foster increased user understanding of AI. This paper takes a step towards realizing both of these goals by providing a concrete definition of AI literacy based on existing research. We synthesize a variety of interdisciplinary literature into a set of core competencies of AI literacy and suggest several design considerations to support AI developers and educators in creating learner-centered AI. These competencies and design considerations are organized in a conceptual framework thematically derived from the literature. This paper's contributions can be used to start a conversation about and guide future research on AI literacy within the HCI community.
Von Duri Long, Brian Magerko im Text What is AI Literacy? (2020)
Dieser wissenschaftliche Zeitschriftenartikel erwähnt ...
![]() Personen KB IB clear | Robbie Berg , Karen Brennan , Rodney Brooks , Meredith Broussard , Andrea diSessa , Stefania Druga , Evelyn Eastmond , Michael Eisenberg , Jason Freeman , Christina Gardner-McCune , Yasmin B. Kafai , Ray Kurzweil , Brian Magerko , John Maloney , Fred Martin , Robert McCartney , Amon Millner , Andrés Monroy-Hernández , Seymour Papert , Eli Pariser , Mitchel Resnick , Eric Rosenbaum , Natalie Rusk , Ingrid Russell , Deborah W. Seehorn , Jay Silver , Brian Silverman , David S. Touretzky , Sherry Turkle , Regis Verdin , Scott A. Wallace | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
![]() Begriffe KB IB clear | AI literacy
, ![]() ![]() | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
![]() Bücher |
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
![]() Texte |
|
Zitationsgraph
Zitationsgraph (Beta-Test mit vis.js)
Zeitleiste
30 Erwähnungen 
- ICER 2020 - International Computing Education Research Conference, Virtual Event, New Zealand, August 10-12, 2020 (Anthony V. Robins, Adon Moskal, Amy J. Ko, Renée McCauley) (2020)
- Learning Machine Learning with Personal Data Helps Stakeholders Ground Advocacy Arguments in Model Mechanics (Yim Register, Amy J. Ko) (2020)
- Learning Machine Learning with Personal Data Helps Stakeholders Ground Advocacy Arguments in Model Mechanics (Yim Register, Amy J. Ko) (2020)
- Informatik - Bildung von Lehrkräften in allen Phasen - 19. GI-Fachtagung Informatik und Schule (Ludger Humbert) (2021)
- WiPSCE '21 - The 16th Workshop in Primary and Secondary Computing Education, Virtual Event / Erlangen, Germany, October 18-20, 2021 (Marc Berges, Andraes Mühling, Michal Armoni) (2021)
- Addressing AI and Data Literacy in Teacher Education - A Review of Existing Educational Frameworks (Viktoriya Olari, Ralf Romeike) (2021)
- Designing a Teacher PD Programme for AI - First Steps (Annabel Lindner) (2021)
- Addressing AI and Data Literacy in Teacher Education - A Review of Existing Educational Frameworks (Viktoriya Olari, Ralf Romeike) (2021)
- CT 2.0 (Matti Tedre, Peter J. Denning, Tapani Toivonen) (2021)
- Conceptualizing AI literacy - An exploratory review (Davy Tsz Kit Ng, Jac Ka Lok Leung, Samuel Kai Wah Chu, Maggie Shen Qiao) (2021)
- Machine Learning for Teachers - Evaluation und Entwicklung von Lehr- und Lernmaterialien zum Thema Künstliche Intelligenz für Lehrpersonen ab Sekundarstufe 1 (Thomas Zurfluh) (2022)
- Practicing Sovereignty. Interventions for Open Digital Futures - Proceedings of the Weizenbaum Conference 2022 (2023)
- Past, Present and Future of Computing Education Research (Mikko Apiola, Sonsoles López-Pernas, Mohammed Saqr) (2023)
- Computing Education Research in Schools (Valentina Dagienė, Yasemin Gülbahar, Natasa Grgurina, Sonsoles López-Pernas, Mohammed Saqr, Mikko Apiola, Gabrielė Stupurienė)
- Computing Education Research in Schools (Valentina Dagienė, Yasemin Gülbahar, Natasa Grgurina, Sonsoles López-Pernas, Mohammed Saqr, Mikko Apiola, Gabrielė Stupurienė)
- AI and the Future of Education - Teaching in the Age of Artificial Intelligence 🔍 (Priten Shah) (2023)
- Informatikunterricht zwischen Aktualität und Zeitlosigkeit - 20. GI-Fachtagung Informatik und Schule (Lutz Hellmig, Martin Hennecke) (2023)
- Workshop: Künstliche Intelligenz im Informatikunterricht - Praxisperspektiven im Gespräch (Lea Schönberger, Erik Marx, Nadine Bergner) (2023)
- Workshop: Künstliche Intelligenz im Informatikunterricht - Praxisperspektiven im Gespräch (Lea Schönberger, Erik Marx, Nadine Bergner) (2023)
- Code for what? - Computer Science for Storytelling and Social Justice (Clifford Lee, Elisabeth Soep) (2023)
- Künstliche Intelligenz in der Bildung (Claudia de Witt, Christina Gloerfeld, Silke Elisabeth Wrede) (2023)
- Erklärbare Künstliche Intelligenz im Kontext von Bildung und Lernen (Katharina Weitz)
- Erklärbare Künstliche Intelligenz im Kontext von Bildung und Lernen (Katharina Weitz)
- Finnish 5th and 6th graders’ misconceptions about artificial intelligence (Pekka Mertala, Janne Fagerlund) (2024)
- AIComp - Future Skills für eine von KI beeinflusste Lebens- und Arbeitswelt - Forschungsbericht 1: Theorie, methodisches Design und Ergebnisse der KIKompetenzstudie 2024 (Ulf-Daniel Ehlers, Martin Lindner, Emily Rauch) (2024)
- AIComp - Future Skills für eine von KI beeinflusste Lebens- und Arbeitswelt - Forschungsbericht 2: Empirische Konstruktion & Beschreibung des Kompetenzmodells AIComp (Ulf-Daniel Ehlers, Martin Lindner, Emily Rauch) (2024)
- Kompetenzen kommunikativen Handelns im Kontext mediatisierter Digitalität (Ann-Kathrin Watolla) (2024)
- What are artificial intelligence literacy and competency? - A comprehensive framework to support them (Thomas K.F. Chiu, Zubair Ahmad, Murod Ismailov, Ismaila Temitayo Sanusi) (2024)
- Developing a holistic AI literacy assessment matrix (Nils Knoth, Marie Decker, Matthias Carl Laupichler, Marc Pinski, Nils Buchholtz, Katharina Bata, Ben Schultz) (2024)
- A systematic review of AI literacy scales (Tomáš Lintner) (2024)
- Kompetenzen für den Unterricht mit und über Künstliche Intelligenz - Perspektiven, Orientierungshilfen und Praxisbeispiele für die Lehramtsausbildung in den Naturwissenschaften (Johannes Huwer, Sebastian Becker-Genschow, Christoph Thyssen, Lars-Jochen Thoms, Alexander Finger, Lena von Kotzebue, Erik Kremser, Monique Meier, Till Bruckermann) (2024)
- DELFI 2024 (Sandra Schulz, Natalie Kiesler) (2024)
- A project-based AI and Data Education Concept for STEM Teacher Education in Teaching-Learning-Labs (Moritz Kreinsen, Maimon Thiems, Sandra Sprenger, Sandra Schulz 0001) (2024)
- A project-based AI and Data Education Concept for STEM Teacher Education in Teaching-Learning-Labs (Moritz Kreinsen, Maimon Thiems, Sandra Sprenger, Sandra Schulz 0001) (2024)
- WIPSCE '24 (Tilman Michaeli, Sue Sentance, Nadine Bergner) (2024)
- Enhancing Understanding of Data Traces and Profiling Among K-9 Students Through an Interactive Classroom Game (Juho Kahila, Henriikka Vartiainen, Eetu Arkko, Anssi Lin, Nicolas Pope, Matti Tedre) (2024)
- Co-Designing AI literacy for K-12 Education (Linda Mannila) (2024)
- Identifying Secondary School Students' Misconceptions about Machine Learning - An Interview Study (Erik Marx, Clemens Witt, Thiemo Leonhardt) (2024)
- Unpacking Approaches to Learning and Teaching Machine Learning in K-12 Education - Transparency, Ethics, and Design Activities (Luis Morales-Navarro, Yasmin B. Kafai) (2024)
- Data-related practices for creating Artificial Intelligence systems in K-12 (Viktoriya Olari, Ralf Romeike) (2024)
- Enhancing Understanding of Data Traces and Profiling Among K-9 Students Through an Interactive Classroom Game (Juho Kahila, Henriikka Vartiainen, Eetu Arkko, Anssi Lin, Nicolas Pope, Matti Tedre) (2024)
- Was alle über Künstliche Intelligenz wissen sollen und wie KI-bezogene Kompetenzen in der Schule entwickelt werden können - Weiterführende Überlegungen zum GI-Positionspapier „Künstliche Intelligenz in der Bildung“ (Daniel Losch, Steffen Jaschke, Tilman Michaeli, Simone Opel, Ute Schmid, Stefan Seegerer, Peer Stechert) (2025)
- Handbuch Lernen mit digitalen Medien (3. Auflage) - Wege der Transformation (Gerold Brägger, Hans-Günter Rolff) (2025)
- AI Literacy in K-12 and Higher Education in the Wake of Generative AI - An Integrative Review (Xingjian Gu, Barbara J. Ericson) (2025)
Anderswo finden
Volltext dieses Dokuments
![]() | ![]() ![]() ![]() ![]() ![]() |
Anderswo suchen 
Beat und dieser wissenschaftliche Zeitschriftenartikel
Beat hat Dieser wissenschaftliche Zeitschriftenartikel erst in den letzten 6 Monaten in Biblionetz aufgenommen. Beat besitzt kein physisches, aber ein digitales Exemplar. Eine digitale Version ist auf dem Internet verfügbar (s.o.).