Exploring Computing Teachers' Readiness to Teach AI in Secondary Schools

Artificial intelligence (AI) is significantly impacting how we live, and the increased capabilities of generative AI applications have positioned AI firmly in the public domain. There is a growing interest in what AI might look like as a subject within the K-12 curriculum, whilst research on teachers’ readiness for teaching AI is as yet limited. This paper describes a qualitative study investigating teachers’ readiness to teach AI in secondary education. The interview study involved eight computing teachers with varying teaching experiences. We used reflexive thematic analysis for themes development. Findings suggest several indicators of teachers’ readiness, including attitudes, prior AI experience, professional development, and access to quality resources. This paper contributes to ongoing debates about how to best support teachers to be ready to teach AI effectively at the school level.

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Published
2024-09-05
DOI
https://doi.org/10.1145/3689535.3689543
Primary Topic
Education and Learning Interventions
Type
article
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article

Exploring Computing Teachers' Readiness to Teach AI in Secondary Schools

Salomey Afua Addo, Sue Sentance
Education and Learning Interventions
article

Exploring Computing Teachers' Readiness to Teach AI in Secondary Schools

Salomey Afua Addo, Sue Sentance
article en

Abstract

Artificial intelligence (AI) is significantly impacting how we live, and the increased capabilities of generative AI applications have positioned AI firmly in the public domain. There is a growing interest in what AI might look like as a subject within the K-12 curriculum, whilst research on teachers’ readiness for teaching AI is as yet limited. This paper describes a qualitative study investigating teachers’ readiness to teach AI in secondary education. The interview study involved eight computing teachers with varying teaching experiences. We used reflexive thematic analysis for themes development. Findings suggest several indicators of teachers’ readiness, including attitudes, prior AI experience, professional development, and access to quality resources. This paper contributes to ongoing debates about how to best support teachers to be ready to teach AI effectively at the school level.

University of Cambridge (GB)
Quality Education
Openalex Percentile: Top 69%
Education and Learning Interventions
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