Elementary Teachers’ Perceptions, Readiness, and Challenges in Using Interactive Deep Learning–STEM-PBL Modules

This study examines elementary school teachers’ perceptions, readiness, and challenges in using and developing interactive teaching modules based on pedagogical deep learning integrated with Problem-Based Learning (STEM-PBL) to support scientific literacy and communication. This study adopted an exploratory cross-sectional design, collecting data from 100 elementary teachers in Lampung Province, Indonesia, through online questionnaires, document analysis, and in-depth interviews. The findings indicate that while most teachers demonstrate positive perceptions toward interactive Deep Learning–STEM-PBL modules, their readiness to implement such approaches varies and is constrained by limited pedagogical competence, instructional design skills, and professional development opportunities. Document analysis further reveals a clear perception–practice gap, as most teaching modules do not yet explicitly integrate deep learning principles and STEM-PBL stages. Key challenges include insufficient training, time constraints, limited instructional references, and inadequate institutional support. Based on these findings, this study proposes a Teacher Readiness Framework for Deep Learning–STEM-PBL, which conceptualizes readiness as the interaction between teachers’ perceptions, multidimensional pedagogical capacities, and structural–institutional conditions that influence instructional practice outcomes.

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Publication Details

Journal
Al-Adzka Jurnal Ilmiah Pendidikan Guru Madrsah Ibtidaiyah
Published
2025-12-27
DOI
https://doi.org/10.18592/aladzkapgmi.v15i2.18009
Primary Topic
Problem and Project Based Learning
Type
article
Field-Weighted Citation Impact
0.00

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article

Elementary Teachers’ Perceptions, Readiness, and Challenges in Using Interactive Deep Learning–STEM-PBL Modules

Winda Oktaviana, Abdurrahman Abdurrahman, Dwi Yulianti
Al-Adzka Jurnal Ilmiah Pendidikan Guru Madrsah Ibtidaiyah
Problem and Project Based Learning
article

Elementary Teachers’ Perceptions, Readiness, and Challenges in Using Interactive Deep Learning–STEM-PBL Modules

Winda Oktaviana, Abdurrahman Abdurrahman, Dwi Yulianti
article en

Abstract

This study examines elementary school teachers’ perceptions, readiness, and challenges in using and developing interactive teaching modules based on pedagogical deep learning integrated with Problem-Based Learning (STEM-PBL) to support scientific literacy and communication. This study adopted an exploratory cross-sectional design, collecting data from 100 elementary teachers in Lampung Province, Indonesia, through online questionnaires, document analysis, and in-depth interviews. The findings indicate that while most teachers demonstrate positive perceptions toward interactive Deep Learning–STEM-PBL modules, their readiness to implement such approaches varies and is constrained by limited pedagogical competence, instructional design skills, and professional development opportunities. Document analysis further reveals a clear perception–practice gap, as most teaching modules do not yet explicitly integrate deep learning principles and STEM-PBL stages. Key challenges include insufficient training, time constraints, limited instructional references, and inadequate institutional support. Based on these findings, this study proposes a Teacher Readiness Framework for Deep Learning–STEM-PBL, which conceptualizes readiness as the interaction between teachers’ perceptions, multidimensional pedagogical capacities, and structural–institutional conditions that influence instructional practice outcomes.

Al-Adzka Jurnal Ilmiah Pendidikan Guru Madrsah IbtidaiyahVol. 15(2)
Lampung University (ID)
Universitas Lampung
Quality Education
Openalex Percentile: Top 16%
Problem and Project Based Learning
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Elementary Teachers’ Perceptions, Readiness, and Challenges in Using Interactive Deep Learning–STEM-PBL Modules — Winda Oktaviana, Abdurrahman Abdurrahman, et al. · Al-Adzka Jurnal Ilmiah Pendidikan Guru Madrsah Ibtidaiyah (2025) | TGRS Research Map | TGRS