Cited by 165Artificial Intelligence in EducationTeaching and Learning ProgrammingDigital literacy in education

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A Differentiated Discussion About AI Education K-12

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Steinbauer, Gerald, Kandlhofer, Martin, Chklovski, Tara, Heintz, Fredrik, Koenig, Sven·2021·KI - Künstliche Intelligenz

DOI 10.1007/s13218-021-00724-8PMC PMC8117807

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Abstract

AI Education for K-12 and in particular AI literacy gained huge interest recently due to the significantly influence in daily life, society, and economy. In this paper we discuss this topic of early AI education along four dimensions: (1) formal versus informal education, (2) cooperation of researchers in AI and education, (3) the level of education, and (4) concepts and tools.

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Untitled work
(1980) · Medical Entomology and Zoology · Cited by 7,534
Scratch: programming for all
Resnick, M., Maloney, J., Monroy-Hernández, A., Rusk, N., Eastmond, E., Brennan, K., Millner, A., Rosenbaum, E., Silver, J., Silverman, B., et al. (2009) · Communications of the ACM · doi:10.1145/1592761.1592779 · Cited by 3,333
Untitled work
(2016) · Open Research Online (The Open University) · Cited by 1,410
Envisioning AI for K-12: What Should Every Child Know about AI?
Touretzky, D., Gardner-McCune, C., Martin, F., & Seehorn, D. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33019795 · Cited by 918
Mindstorms: Children, computers, and powerful ideas
Schutz, R. E. (1981) · Journal of School Psychology · doi:10.1016/0022-4405(81)90048-0 · Cited by 521
Teachable Machine: Approachable Web-Based Tool for Exploring Machine Learning Classification
Carney, M., Webster, B., Alvarado, I., Phillips, K., Howell, N., Griffith, J., Jongejan, J., Pitaru, A., & Chen, A. J. (2020) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3334480.3382839 · Cited by 379
PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education
Williams, R., Park, H. W., Oh, L., & Breazeal, C. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33019729 · Cited by 269
App inventor and real-world motivation
Wolber, D. (2011) · ACM Technical Symposium on Computer Science Education (SIGCSE) · doi:10.1145/1953163.1953329 · Cited by 182
A Year in K–12 AI Education
Touretzky, D. S., Gardner‐McCune, C., Breazeal, C., Martin, F., & Seehorn, D. (2019) · AI Magazine · doi:10.1609/aimag.v40i4.5289 · Cited by 128
Analyzing Teacher Competency with TPACK for K-12 AI Education
Kim, S., Jang, Y., Choi, S., Kim, W., Jung, H., Kim, S., & Kim, H. (2021) · KI - Künstliche Intelligenz · doi:10.1007/s13218-021-00731-9 · Cited by 111

Show all 27 references

Research works printed but not linked: 4

Touretzky D, Gardner-McCune C, Martin F, Seehorn D (2019) K-12 guidelines for artificial intelligence: what students should know. In: Conference of international society for technology in education (ISTE)
Koo S, Liew L (2020) Intergenerational learning with AI for kids (AI4K$$^{TM}$$). In: 2nd international workshop on education in artificial intelligence k-12 (eduai20), international conference on artificial intelligence in education (AIED-20)
EduAI-K-12 (2020) Workshop on education in artificial intelligence K-12 at IJCAI-19 and AIED-20. http://eduai.ist.tugraz.at/. Accessed 10 Apr 2021
SIGCSE (2021) Technical symposium on computer science education. https://sigcse2021.sigcse.org/. Accessed 1 Mar 2021

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Authors: Steinbauer, G., Kandlhofer, M., Chklovski, T., Heintz, F., & Koenig, S.
Affiliations: Graz University of Technology (AT)
Österreichische Computer Gesellschaft (AT)
Linköping University (SE)
University of Southern California (US)
Corresponding author: Steinbauer, Gerald
ORCID: Steinbauer, Gerald
Kandlhofer, Martin
Heintz, Fredrik
Koenig, Sven
Venue: KI - Künstliche Intelligenz
Publisher: Springer Science and Business Media LLC
Published: 2021-05-13
Volume: 35
Issue: 2
Pages: 131-137
ISSN: 0933-1875 (ISSN-L)
1610-1987
DOI: 10.1007/s13218-021-00724-8
PMC: PMC8117807
OpenAlex: W3161021660
Cited by: 160
References: 27
Citations by year: 2026: 27 · 2025: 38 · 2024: 61 · 2023: 17 · 2022: 14 · 2021: 3
FWCI: 21.48
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0 (tdm)
creativecommons.org/licenses/by/4.0 (vor)
Locations: Künstliche Intell. (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
Funders: Graz University of Technology
Topics: Social Sciences › Education › Artificial Intelligence in Education
Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
Social Sciences › Education › Digital literacy in education
Keywords: artificial intelligence in education, K-12 education, AI literacy

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