2026-06-05T02:31:59Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/467802026-06-04T10:00:15Zcom_10630_2254col_10630_20092
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Guillén Gámez, Francisco David
author
Habibi, Akhmad
author
Mascia, Maria Lidia
author
Pinto-Llorente, Ana María
2026-06-02T11:48:03Z
2026
https://hdl.handle.net/10630/46780
10.24310/riuma.46780
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.
eng
Attribution-NonCommercial 4.0 International
Profesores - Formación profesional
Inteligencia artificial en la enseñanza
Enseñanza - Innovaciones
Resolución de problemas
Cognitive Load Theory and Learner Competencies as Predictors of Effective GenAI Training for Preservice Teachers.
dataset
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URL
https://riuma.uma.es/bitstreams/57351331-8fc4-4d57-90c7-e843cf08bef5/download
File
MD5
97f4cd47b4277502ff10c404193d4121
4527
text/plain
DATASET DESCRIPTION – README FILE.txt
URL
https://riuma.uma.es/bitstreams/c4718f4b-ab6d-44eb-a8e0-6e1017d3b655/download
File
MD5
cfc733bd80157f597d82835c931ac3fd
23813
application/octet-stream
BBDD.sav