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Engineering Proceedings
Volume 143
Issue 1
10.3390/engproc2026143028
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Proceeding Paper

Diffusion of Authentic Assessment in Deep Learning Approaches: The Role of Network Communication and Teacher Opinion Leadership †

by
Syahida Karim
*,
Dina Siti Logayah
and
Mamat Ruhimat
*
Department of Social Studies Education, Universitas Pendidikan Indonesia, Bandung 40154, Indonesia
*
Authors to whom correspondence should be addressed.
†
Presented at the 8th International Global Conference Series on ICT Integration in Technical Education & Smart Society, Aizuwakamatsu City, Japan, 20–26 January 2026.
Eng. Proc. 2026, 143(1), 28; https://doi.org/10.3390/engproc2026143028
Published: 22 June 2026
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Abstract

The complexity of authentic assessment within Deep Learning frameworks often hinders teacher adoption. This study analyses the diffusion process of such an innovation at SMP Taruna Bakti Bandung using an Explanatory Sequential Mixed Methods design. Through Social Network Analysis (SNA) of the entire teacher population and in-depth interviews, this study maps communication patterns and the roles of key actors. SNA results reveal a network structure with moderate density and subject-based clustering patterns. Qualitative findings confirm that adoption success relies heavily on opinion leaders acting as “pedagogical translators” to simplify the technical complexities of assessment. Through collaborative strategies, innovation barriers are reduced by enhancing aspects of trialability and observability. The study concludes that the adoption of authentic assessment requires synergy between formal institutional support and technical validation fostered within interpersonal trust networks, rather than relying solely on managerial instruction.
Keywords: authentic assessment; deep learning; innovation diffusion; network communication; opinion leadership authentic assessment; deep learning; innovation diffusion; network communication; opinion leadership

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MDPI and ACS Style

Karim, S.; Logayah, D.S.; Ruhimat, M. Diffusion of Authentic Assessment in Deep Learning Approaches: The Role of Network Communication and Teacher Opinion Leadership. Eng. Proc. 2026, 143, 28. https://doi.org/10.3390/engproc2026143028

AMA Style

Karim S, Logayah DS, Ruhimat M. Diffusion of Authentic Assessment in Deep Learning Approaches: The Role of Network Communication and Teacher Opinion Leadership. Engineering Proceedings. 2026; 143(1):28. https://doi.org/10.3390/engproc2026143028

Chicago/Turabian Style

Karim, Syahida, Dina Siti Logayah, and Mamat Ruhimat. 2026. "Diffusion of Authentic Assessment in Deep Learning Approaches: The Role of Network Communication and Teacher Opinion Leadership" Engineering Proceedings 143, no. 1: 28. https://doi.org/10.3390/engproc2026143028

APA Style

Karim, S., Logayah, D. S., & Ruhimat, M. (2026). Diffusion of Authentic Assessment in Deep Learning Approaches: The Role of Network Communication and Teacher Opinion Leadership. Engineering Proceedings, 143(1), 28. https://doi.org/10.3390/engproc2026143028

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