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title: Artificial Intelligence Literacy Model Development for Secondary Schools Teachers in Shenzhen
created: 2025-12-22T04:38:31+00:00
modified: 2025-12-23T03:32:32+00:00
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creator: Wu Zhaobin
subject: Digital literacy
subject: Artificial intelligence -- Study and teaching
subject: Educational technology -- China -- Shenzhen
description: The purposes of this research were: 1) To study the current level of knowledge of secondary school teachers' artificial intelligence literacy. 2) To develop a teachers' artificial intelligence literacy improvement model for secondary schools. 3) To evaluate the teachers' artificial intelligence literacy improvement model. The study invited 21 experts to conduct three rounds of consulting using the Delphi method to identify core competencies and refine the model components. This was done to determine the variable issues of effective teachers’ artificial intelligence literacy, resulting in the developing of a model for improving secondary school teachers' primary index factors includes: Cognition, Ethics, Artificial Intelligence Applications, Artificial Intelligence Pedagogy, Development, and Evaluation. artificial intelligence literacy. For the accuracy of the data, the interviewees were experts with professorial titles from artificial intelligence professionals, the online education field, and normal universities. The expert qualifies to have the rank of professor or above and has at least 20 years of experience working in a related field. The results of the study found that 30 secondary school teachers in Shenzhen had significantly higher post-test scores than pre-test scores at a significance level of 0.05. Keywords: Artificial Intelligence Literacy, TAILM Model, Teacher Professional Development, Delphi Method, Educational Technology, AI Ethics
publisher: Bansomdejchaopraya Rajabhat University. Office of Academic Resources and Information Technology
contributor: Nainapas Injoungjirakit
contributor: Sombat Teekasap
contributor: Prapai Sridama
date: 2024
created: 2025-12-22
modified: 2025-12-22
issued: 2025-12-22
type: thesis
format: application/pdf
source: TH 371.33 W94A 2024
language: eng
identifier: https://opacb.bsru.ac.th/cgi-bin/koha/opac-detail.pl
rights: Bansomdejchaopraya Rajabhat University
degree: Doctor of Philosophy
degree: Doctoral degree
degree: Digital Technology Management for Education
degree: Bansomdejchaopraya Rajabhat University

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