The Predictive Power of Preservice Teachers' Readiness Levels for Artificial Intelligence Supported Instructional Design on Lesson Planning Competencies
Year: 2025
Type: article
Study design: Observational Study
Abstract: The purpose of this study is to examine the predictive power of pre-service teachers' readiness levels for artificial intelligence-supported instructional design on their lesson planning competencies. The sample of the study, in which the relational survey model, one of the quantitative research designs, consisted of 412 pre-service teachers from different departments studying at the Faculty of Education of a state university in Turkey. "Artificial Intelligence Assisted Instructional Design Readiness Scale" and "Lesson Planning Competency Scale" were used as data collection tools. Descriptive statistics, independent sample t-test, one-way ANOVA, Pearson correlation and multiple regression analyses were used to analyze the data. The findings revealed that pre-service teachers had high levels of both AI-supported instructional design readiness and lesson planning competencies. In addition, it was determined that their level of AI-supported instructional design readiness predicted their lesson planning competencies significantly and strongly. These results point to the need to support pre-service teachers' digital pedagogical competencies and the importance of increasing artificial intelligence-based instructional design-oriented practices in teacher training programs. Article visualizations:
Authors: Serhat Süral, İrem Demir
Institution: Pamukkale University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W7111340296
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