Cognitive Load Theory and Learner Competencies as Predictors of Effective GenAI Training for Preservice Teachers.

Abstract

This dataset contains responses collected from 450 preservice teachers through a structured questionnaire developed to investigate the factors influencing the perceived usefulness of Generative Artificial Intelligence (GenAI) tools in instructional material design. Specifically, the dataset includes measures of metacognitive skills, prior knowledge, problem-solving skills, intrinsic cognitive load, extraneous cognitive load, germane cognitive load, and perceived usefulness, together with sociodemographic information. All questionnaire items were measured using 7-point Likert-type scales. Each row represents one participant, and each column represents one variable.