Determining the Role of AI Literacy in the AI Readiness of Pre-Service Mathematics Teachers
Saved in:
| Title: | Determining the Role of AI Literacy in the AI Readiness of Pre-Service Mathematics Teachers |
|---|---|
| Language: | English |
| Authors: | Metin Ünal (ORCID |
| Source: | International Journal of Education in Mathematics, Science and Technology. 2026 14(2):457-476. |
| Availability: | International Journal of Education in Mathematics, Science and Technology. Necmettin Erbakan University, Ahmet Kelesoglu Education Faculty, Meram, Konya, 42090, Turkey. e-mail: ijermst@gmail.com; Web site: https://www.ijemst.net/index.php/ijemst/index |
| Peer Reviewed: | Y |
| Page Count: | 20 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Technological Literacy, Digital Literacy, Preservice Teachers, Mathematics Teachers, Readiness, Correlation, Gender Differences, Computer Use, Incidence, Student Attitudes, Foreign Countries, Instructional Program Divisions |
| Geographic Terms: | Turkey |
| ISSN: | 2147-611X |
| Abstract: | The purpose of this study is to examine the level of artificial intelligence readiness and artificial intelligence literacy of pre-service mathematics teachers in relation to various variables, and to identify the relationship between these skills. The present study's sample comprised 164 pre-service mathematics teachers. The "Artificial Intelligence Readiness" and "Artificial Intelligence Literacy" scales were utilised as data collection tools. Statistical Package for the Social Sciences (SPSS) software was then deployed in order to facilitate data analysis, with the following analyses being conducted: independent sample t-tests, one-way analysis of variance (ANOVA), correlation analysis and regression analysis. The findings of the study demonstrated that preservice mathematics teacher candidates exhibited a high level of both artificial intelligence readiness and literacy. Moreover a high level of positive and significant statistical relationship is demonstrated between artificial intelligence literacy and readiness. It was revealed that artificial intelligence literacy is responsible for Keywords explaining approximately 55% of the variance in artificial intelligence readiness. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1506054 |
| Database: | ERIC |
Be the first to leave a comment!
