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dc.contributor.authorFundi, M
dc.contributor.authorSanusi, IT
dc.contributor.authorOyelere, SS
dc.contributor.authorAyere, M
dc.date.accessioned2024-04-15T12:55:09Z
dc.date.issued2024-04-14
dc.date.updated2024-04-15T08:59:31Z
dc.description.abstractWith the advancement of technology, emerging technologies like Artificial Intelligence (AI) have also been growing rapidly and becoming more common than ever before. Kenya has taken tremendous steps in adopting the use of emerging technology in different sectors of the economy. In realization of the need to have a skilled digital workforce to develop solutions using these emerging technologies, Kenya has undertaken curriculum reforms and introduced the Competency-Based Curriculum (CBC) which has included digital literacy and coding in elementary school. Furthermore, computer science has been introduced in Junior Secondary School. In view of these changes, teachers should be adequately prepared with knowledge, skills, and attitudes to effectively teach these new technologies. However, in Kenya, AI was not and still is not part of the teacher training curriculum. Additionally, there are inadequate professional development opportunities in AI for both pre-service and inservice teachers since AI is not part of the CBC curriculum. That notwithstanding, it is inevitable for teachers in the current world to introduce AI to learners. Therefore, this study’s objectives were to assess the confidence in AI, attitudes toward AI, AI ethics, subjective norms, perceived threats, and the readiness to teach AI among Kenyan K-12 in-service teachers and to assess how these factors influence their readiness to teach AI. To achieve these objectives, this study employed a quantitative research methodology by administering a survey using Google Forms to a random sample of 308 teachers from different grades from 37 out of 47 counties in Kenya. The findings showed that confidence in AI, AI ethics and subjective norms significantly influenced AI readiness while attitude towards AI and perceived threats did not significantly influence AI readiness. These results are significant in providing a basis for education policy change on AI education in Kenya, such as transforming the teacher training curriculum to include AI and designing AI professional development programs for in-service teachers to ensure they are well-equipped to teach AI.en_GB
dc.description.sponsorshipUniversity of Exeteren_GB
dc.format.extent100412-100412
dc.identifier.citationVol. 14, article 100412en_GB
dc.identifier.doihttps://doi.org/10.1016/j.chbr.2024.100412
dc.identifier.urihttp://hdl.handle.net/10871/135748
dc.identifierORCID: 0000-0001-9895-6796 (Oyelere, Solomon Sunday)
dc.identifierScopusID: 57188672243 (Oyelere, Solomon Sunday)
dc.identifierResearcherID: AAE-7541-2020 | M-4672-2019 (Oyelere, Solomon Sunday)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectArtificial intelligenceen_GB
dc.subjectTeacher readinessen_GB
dc.subjectCompetence-based curriculumen_GB
dc.subjectSchool educationen_GB
dc.titleAdvancing AI education: Assessing Kenyan in-service teachers' preparedness for integrating artificial intelligence in competence-based curriculumen_GB
dc.typeArticleen_GB
dc.date.available2024-04-15T12:55:09Z
dc.identifier.issn2451-9588
exeter.article-number100412
dc.descriptionThis is the final version. Available from Elsevier via the DOI in this record. en_GB
dc.descriptionData availability: Data will be made available on request.en_GB
dc.identifier.journalComputers in Human Behavior Reportsen_GB
dc.relation.ispartofComputers in Human Behavior Reports, 14
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2024-04-07
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2024-04-14
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-04-15T12:51:46Z
refterms.versionFCDVoR
refterms.dateFOA2024-04-15T12:55:17Z
refterms.panelBen_GB
refterms.dateFirstOnline2024-04-14


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© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).