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ORIGINAL RESEARCH article

Front. Commun.

Sec. Health Communication

Volume 10 - 2025 | doi: 10.3389/fcomm.2025.1660794

Bridging Uncertainty: Social Support and Health Communication in Assessing Prospective ASD Students for Online Learning

Provisionally accepted
  • 1Muhammadiyah University of Jakarta, Jakarta, Indonesia
  • 2Universitas Mercu Buana, West Jakarta, Indonesia

The final, formatted version of the article will be published soon.

The transition to online learning heightens uncertainty for prospective students with autism spectrum disorder (ASD), influencing their emotional readiness and academic adaptation. This study explores how assessment practices, strengthened by social support and health communication, help reduce that uncertainty. A qualitative case study was conducted at the London School Beyond Academy (LSBA) Jakarta, involving nine institutional informants through interviews, observations, and document analysis. The findings show that uncertainty often arose from ambiguous expectations, limited structured interaction, and unclear instructional procedures. LSBA's online assessment combined interviews, behavioral observations, and structured online tasks while also considering parental involvement during sessions. Although challenges emerged (e.g., limited visibility of student behavior and the possibility of parental interference), structured protocols helped address these issues. The analysis demonstrates that social support (emotional, informational, and instrumental) and adaptive health communication strategies lower anxiety, strengthen resilience, and clarify expectations. The study contributes novelty by integrating the Uncertainty Reduction Theory (URT) with social support and health communication in the Indonesian context of online ASD assessments, an area rarely examined in current research. These findings provide a replicable model for inclusive and adaptive assessment practices in digital education environments.

Keywords: Autism Spectrum Disorder, Health Communication, Online Learning, social support, Uncertainty reduction theory

Received: 06 Jul 2025; Accepted: 21 Oct 2025.

Copyright: © 2025 Purnamasari and Firmansyah. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Oktaviana Purnamasari, oktaviana.purnamasari@umj.ac.id

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