Teachers’ readiness and intention to teach artificial intelligence in schools

The emergence of artificial intelligence (AI) as a subject to be incorporated into K-12 educational levels places new demand on relevant stakeholders, especially teachers that drive the teaching and learning process. It is therefore important to understand how ready teachers are to teach the emergin...

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Veröffentlicht in:Computers and education. Artificial intelligence Jg. 3; S. 100099
Hauptverfasser: Ayanwale, Musa Adekunle, Sanusi, Ismaila Temitayo, Adelana, Owolabi Paul, Aruleba, Kehinde D., Oyelere, Solomon Sunday
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 2022
Elsevier
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ISSN:2666-920X, 2666-920X
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Abstract The emergence of artificial intelligence (AI) as a subject to be incorporated into K-12 educational levels places new demand on relevant stakeholders, especially teachers that drive the teaching and learning process. It is therefore important to understand how ready teachers are to teach the emerging subject as the success of AI education would probably be closely dependent on the readiness of teachers. As a result, this study presents an insight into factors influencing the behavioural intention and readiness of Nigerian in-service teachers to teach artificial intelligence. A total of 368 teachers, from elementary to high school participated in the study. We utilised quantitative methodology using variance-based structural equation modelling to understand the relationship among the eight variables (AI anxiety, perceived usefulness, AI for social good, Attitude towards using AI, perceived confidence in teaching AI, relevance of AI, AI readiness, and behavioural intention) considered in the study. The result indicated that confidence in teaching AI predicts intention to teach AI while AI relevance strongly predicts readiness to teach AI. While other factors influence the teaching of AI, anxiety and social good could not predict teachers' intention and readiness to implement AI in classrooms respectively. We discussed the implication of our findings in relation to AI implementation in schools and highlight future directions.
AbstractList The emergence of artificial intelligence (AI) as a subject to be incorporated into K-12 educational levels places new demand on relevant stakeholders, especially teachers that drive the teaching and learning process. It is therefore important to understand how ready teachers are to teach the emerging subject as the success of AI education would probably be closely dependent on the readiness of teachers. As a result, this study presents an insight into factors influencing the behavioural intention and readiness of Nigerian in-service teachers to teach artificial intelligence. A total of 368 teachers, from elementary to high school participated in the study. We utilised quantitative methodology using variance-based structural equation modelling to understand the relationship among the eight variables (AI anxiety, perceived usefulness, AI for social good, Attitude towards using AI, perceived confidence in teaching AI, relevance of AI, AI readiness, and behavioural intention) considered in the study. The result indicated that confidence in teaching AI predicts intention to teach AI while AI relevance strongly predicts readiness to teach AI. While other factors influence the teaching of AI, anxiety and social good could not predict teachers' intention and readiness to implement AI in classrooms respectively. We discussed the implication of our findings in relation to AI implementation in schools and highlight future directions.
ArticleNumber 100099
Author Adelana, Owolabi Paul
Ayanwale, Musa Adekunle
Sanusi, Ismaila Temitayo
Aruleba, Kehinde D.
Oyelere, Solomon Sunday
Author_xml – sequence: 1
  givenname: Musa Adekunle
  orcidid: 0000-0001-7640-9898
  surname: Ayanwale
  fullname: Ayanwale, Musa Adekunle
  email: ayanwalea@uj.ac.za
  organization: Department of Science and Technology Education, University of Johannesburg, South Africa
– sequence: 2
  givenname: Ismaila Temitayo
  orcidid: 0000-0002-5705-6684
  surname: Sanusi
  fullname: Sanusi, Ismaila Temitayo
  email: ismaila.sanusi@uef.fi
  organization: School of Computing, University of Eastern Finland, P.O.Box 111, 80101, Joensuu, Finland
– sequence: 3
  givenname: Owolabi Paul
  orcidid: 0000-0002-4829-5106
  surname: Adelana
  fullname: Adelana, Owolabi Paul
  email: paulyetty@gmail.com
  organization: Department of Science and Technology Education, University of Ibadan, Ibadan, Nigeria
– sequence: 4
  givenname: Kehinde D.
  orcidid: 0000-0003-3422-7046
  surname: Aruleba
  fullname: Aruleba, Kehinde D.
  email: ka388@leicester.ac.uk
  organization: School of Computing and Mathematical Sciences, University of Leicester, UK
– sequence: 5
  givenname: Solomon Sunday
  orcidid: 0000-0001-9895-6796
  surname: Oyelere
  fullname: Oyelere, Solomon Sunday
  email: solomon.oyelere@ltu.se
  organization: Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, SE-931 87, Skellefteå, Sweden
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Keywords Teacher readiness
K-12
Behavioural intention
Teaching artificial intelligence
Nigerian schools
Language English
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Snippet The emergence of artificial intelligence (AI) as a subject to be incorporated into K-12 educational levels places new demand on relevant stakeholders,...
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SubjectTerms Behavioural intention
Distribuerade datorsystem
K-12
Nigerian schools
Pervasive Mobile Computing
Teacher readiness
Teaching artificial intelligence
Title Teachers’ readiness and intention to teach artificial intelligence in schools
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