Métricas alternativas
Keywords
inteligencia artificial
Enseñanza y Aprendizaje
Educación superior
Tecnologías de la Información y la Comunicación Blended learning
Artificial intelegence
ICT and teaching
teaching and learning
higher education
How to Cite
Abstract
This study investigates the factors that influence the implementation of blended learning and artificial intelligence (AI) in teaching and learning in Indonesia. Five factors are proposed: Structure and Support System, Schedule Blended learning, Pedagogy Support, Method in Blended Learning, and Assessment in Blended Learning. The study employed a questionnaire survey method to gather data from 625 lecturers who had implemented blended learning at universities in Indonesia. The structural equation model using the partial least square method (PLS-SEM) was employed to analyze the data. The findings of the study demonstrate that all five independent variables (Structure and Support System, Schedule Blended learning, Pedagogy Support, Method in Blended Learning, and Assessment in BL) exhibit a significant positive correlation with the dependent variable, Blended Learning-AI in teaching learning. The results of this study provide empirical evidence to support the proposed hypotheses. The study also provides insights into the factors that may influence the effectiveness of implementation of blended learning and AI in teaching and learning.
References
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