Erie, Siti Syarah and Puspitasari, Kristanti Ambar and Siti, Aisyah and Mustapa, Noviana and Sulaiman, Sulaiman and Linawati, Linawati and Khalid, Nursyahidah and Himphinit, Musakkid
(2025)
Scaling early childhood digital practices through a design-based implementation research model in rural ecosystems.
Indonesian Journal of Early Childhood Educational Research, 4 (2).
pp. 527-542.
ISSN 2962-1364
E-ISSN 2963-6760
Abstract
This study examines how a design-based implementation research (DBIR) approach can accelerate developmentally appropriate digitalization in early childhood education within a rural village ecosystem. We co-designed, piloted, and iteratively refined a practice-proximal package, professional learning and coaching, a contextualized digital lesson bank, implementation tools (rubrics/SOPs), and organizational supports, delivered through a stepped-wedge rollout across six ECE centers (310 children; 34 staff). Mixed methods
integrated repeated surveys/logs, structured classroom observations and artefact audits, and interviews/FGDs; instruments covered teacher outcomes, classroom processes, center-level implementation outcomes, and system supports. Quantitatively (n=18 teachers), teachers strongly endorsed play-based pedagogy and age-appropriate management and reported high confidence to blend traditional–digital
approaches, while routine device/app use and simple media creation were lower, indicating an enactment fluency gap. Qualitatively, key barriers were limited devices/media, uneven digital skills, and device-related classroom management; children’s engagement was predominantly positive. Triangulation suggests two proximal mechanisms, motivation and procedural clarity, by which coaching and SOPs (rotation/transition) convert enthusiasm into on-task behavior. Findings yield a feasible pathway for scale: prioritize shared-device solutions and offlineable media, intensify practice-based coaching on two workflow ―kernels,‖ and institutionalize leadership-backed routines. Future work will test dose–response and moderation using longitudinal mixed-effects models and center-level interrupted time series to assess sustainment and generalizability.
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