Introduction of Artificial Intelligence Literacy and Data Literacy in Computer Science Teacher Education

Olari, Viktoriya; Zoppke, Till; Reger, Martin; Samoilova, Evgenia; Kandlhofer, Martin; Dagiene, Valentina; Romeike, Ralf; Lieckfeld, Anna Sarah; Lucke, Ulrike

doi:10.1145/3631802.3631851

Proceedings of the 23rd Koli Calling International Conference on Computing Education Research 2023

DOI: 10.1145/3631802.3631851

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Introduction of Artificial Intelligence Literacy and Data Literacy in Computer Science Teacher Education

Viktoriya Olari,

Till Zoppke,

Martin Reger

et al.

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2024

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What Students Should Learn and Teachers Must Know About Artificial Intelligence

Opel,

Linxen,

Beecks

2024

Lecture Notes in Computer Science

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What Students Should Learn and Teachers Must Know About Artificial Intelligence

Opel,

Linxen,

Beecks

2024

Lecture Notes in Computer Science

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Data Literacy and Artificial Intelligence in Higher Education

Galih,

Barát

2024

AI Approaches to Literacy in Higher Education

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In the big data era, we generate, use, and share data from many sources. Quantitative survey or experiment results are no longer the only data in academia. Data collection using artificial intelligence is common in academic and research settings, especially in meta-analysis. Data literacy involves understanding, analyzing, and communicating data. Everyone in higher education needs data literacy. Students must understand statistics to correctly interpret data, communicate research findings, and build evidence-based arguments. Artificial intelligence could help solve complex practical and academic problems in sustainable development research. Data literacy must be taught to stakeholders to help them analyze research data for sustainable higher education research. Additionally, higher education institutions must teach artificial intelligence to sustain their research. Transliteracy is another data literacy and AI education future concept. Transliteracy offers a new perspective on how higher education stakeholders with knowledge of education and academic communication can collaborate to better serve future generations.

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Introduction of Artificial Intelligence Literacy and Data Literacy in Computer Science Teacher Education

Cited by 2 publications

References 7 publications

What Students Should Learn and Teachers Must Know About Artificial Intelligence

What Students Should Learn and Teachers Must Know About Artificial Intelligence

Data Literacy and Artificial Intelligence in Higher Education

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