International Journal of Educational Management and Innovation (IJEMI)
Vol. 6 No. 2 (2025)

AI-Based Teaching Materials for Deep Learning: An Analysis of Usage by Elementary School Teachers

Sunaengsih, Cucun (Unknown)
Komariah, Aan (Unknown)
Kurniady, Dedy Achmad (Unknown)
Salsabil, Syifa Hanifa (Unknown)



Article Info

Publish Date
28 May 2025

Abstract

Background/purpose. This study investigates the development of AI-powered learning materials to enhance elementary school teachers' professional learning. This is in consideration of the low utilization of AI technology in developing learning materials in the teaching process. The primary objective of this study is to investigate the extent of utilization of AI-based learning materials among elementary school teachers. Materials/methods. This study utilized a quantitative descriptive study using a survey method with 231 elementary school teachers in West Java, Indonesia, as participants. Results. The findings show that most teachers have begun incorporating AI-based teaching materials and find them helpful in enhancing student comprehension and participation, despite ongoing issues of training and infrastructure. Conclusion. The study concludes that AI-powered instructional materials can leverage deep learning to the maximum in primary education, subject to sufficient training and infrastructure. The findings are likely to inform future research in formulating the professional development requirements of teachers for planning AI-enabled instructional materials for effective facilitation of deep learning.

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Journal Info

Abbrev

ijemi

Publisher

Subject

Education Languange, Linguistic, Communication & Media Social Sciences Other

Description

The IJEMI has sought to publish research on publishing qualitative, quantitative, and mixed research articles in the scope of Education Management including leadership, education planning, human resources, education finance, curriculum, facilities and infrastructure, public relations, student ...