Published

Exploring Multidimensional Relationships between Educational Situation Perception, Teacher Support, Digital Learning Engagement, and Academic Self-Efficacy in Elementary School

Authors

1

Dita Amelia Putri

Universitas Siliwangi

2

Muhammad Alie Muzakki

Universitas Islam Nahdlatul Ulama Jepara

Abstract

This study examines the structural relationships among students’ perceptions of the learning environment, perceived teacher support, academic self-efficacy, and students’ engagement in digital learning in elementary school digital learning contexts. A quantitative survey approach was employed, and the data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The findings reveal that academic self-efficacy significantly predicts students’ participation in digital learning activities. Teacher support significantly contributes to strengthening academic self-efficacy and indirectly influences digital learning engagement through the improvement of students’ academic confidence. In contrast, educational situation perception does not show a significant direct relationship with either academic self-efficacy or digital learning engagement. The sequential mediation pathway involving teacher support and academic self-efficacy is statistically confirmed. The model demonstrates satisfactory explanatory power and predictive relevance. The results suggest that psychologically driven factors supported by effective pedagogical practices play a more central role in fostering students’ digital engagement than contextual perceptions operating independently. These findings highlight the mediating role of academic self-efficacy within the multidimensional framework tested in this study.

Publication Info

Volume / Issue
Vol. 2, No. 2
Year
2026
Pages
53-67
Submitted
24 February 2026
Published
27 February 2026

Original Article

View this article on the original journal website for additional features and citation options.

View in OJS

Share

Publication History

Transparent editorial process timeline

Submitted

24 Feb 2026

Review Completed

24 Feb 2026

Sent to Review

24 Feb 2026

Review Completed

25 Feb 2026

Revisions Required

25 Feb 2026

Accepted

26 Feb 2026

Sent to Production

26 Feb 2026

Published

27 Feb 2026