Tamar Mikeladze, Paulien C. Meijer, Roald P. Verhoeff
{"title":"A comprehensive exploration of artificial intelligence competence frameworks for educators: A critical review","authors":"Tamar Mikeladze, Paulien C. Meijer, Roald P. Verhoeff","doi":"10.1111/ejed.12663","DOIUrl":null,"url":null,"abstract":"<p>Recent literature underscores the need for teachers to develop AI competencies with a recognition of the current lack of well-defined competence frameworks. This critical review investigates teachers' Artificial Intelligence (AI) competence frameworks (AI CFTs), analysing their strengths, weaknesses and practical applications for researchers, educators and policymakers. It identifies five distinct types of AI CFTs within Competence Construct Claims (Child, S., & Shaw, S. 2023). A conceptual approach to validating competence frameworks. <i>Research Matters: A Cambridge University Press & Assessment publication, 35</i>, 27–40.), each addressing the complexities of AI in its early stages. Notably, frameworks derived from empirical data offer detailed descriptions of competencies, while those based on conceptual models provide broader overviews. Highlighting the need for further empirical research, this review helps identify and understand existing approaches to teacher AI competence development and paves the way for integrating AI CFTs into teacher education, ultimately enhancing educators' preparedness to harness AI in their teaching practices.</p>","PeriodicalId":47585,"journal":{"name":"European Journal of Education","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ejed.12663","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Education","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ejed.12663","RegionNum":3,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
Recent literature underscores the need for teachers to develop AI competencies with a recognition of the current lack of well-defined competence frameworks. This critical review investigates teachers' Artificial Intelligence (AI) competence frameworks (AI CFTs), analysing their strengths, weaknesses and practical applications for researchers, educators and policymakers. It identifies five distinct types of AI CFTs within Competence Construct Claims (Child, S., & Shaw, S. 2023). A conceptual approach to validating competence frameworks. Research Matters: A Cambridge University Press & Assessment publication, 35, 27–40.), each addressing the complexities of AI in its early stages. Notably, frameworks derived from empirical data offer detailed descriptions of competencies, while those based on conceptual models provide broader overviews. Highlighting the need for further empirical research, this review helps identify and understand existing approaches to teacher AI competence development and paves the way for integrating AI CFTs into teacher education, ultimately enhancing educators' preparedness to harness AI in their teaching practices.
期刊介绍:
The prime aims of the European Journal of Education are: - To examine, compare and assess education policies, trends, reforms and programmes of European countries in an international perspective - To disseminate policy debates and research results to a wide audience of academics, researchers, practitioners and students of education sciences - To contribute to the policy debate at the national and European level by providing European administrators and policy-makers in international organisations, national and local governments with comparative and up-to-date material centred on specific themes of common interest.