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A Comprehensive Synthesis of Artificial Intelligence in Early Learning Across International Educational Collaborations Thariq Fadhillah Nanda Pribadi; Jastin Martino; Emi Fitri Audina; Anton Surawi; Ulul Ilmi
Tunas Cendekia : Jurnal Program Studi Pendidikan Anak Usia Dini Vol. 9 No. 1 (2026): Tunas Cendekia : Jurnal Program Studi Pendidikan Anak Usia Dini
Publisher : Universitas Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/tunascendekia.v9i1.12982

Abstract

As generative platforms, embodied robotics, and conversational voice agents enter early childhood environments spanning birth through age eight, a fundamental tension emerges between automated technological deployment and the relational core of early learning centered on play-based inquiry, child agency, and educator care. Addressing this socio-technical dynamic requires evaluating how international educational collaboration shapes early childhood artificial intelligence applications across national contexts. Guided by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA 2020) protocols, systematic literature searches executed across Scopus, Web of Science, IEEE Xplore, ERIC, and ACM DL databases through October 2026 covering publications from 2015 to 2026 yielded an audited review corpus of thirty verified sources (N = 20). This evidence base comprises twenty primary empirical studies classified into four distinct evidence layers: direct cross-national co-design, cross-border comparative implementations, single-jurisdiction regional trials, and non-digital collaborative capacity frameworks alongside ten secondary contextual reviews. Empirical synthesis reveals that international research partnerships move beyond routine tool distribution to establish joint pedagogical co-design, cross-cultural benchmarking, and ethnopedagogical capacity-building networks. At the classroom level, interactive artificial intelligence tools reconfigure young children's imaginative play, expanding multimodal storytelling, foundational technical literacy, and social-emotional scaffolding for neurodiverse learners. However, these pedagogical possibilities exist alongside significant operational obstacles, including widespread educator anxiety regarding technical deskilling, algorithmic surveillance, loss of instructional autonomy, and severe physical infrastructure deficits in low-resource settings. Methodological distribution indicates that single-jurisdiction regional trials constitute fifty-five percent of empirical literature, cross-national comparative implementations account for twenty-five percent, non-digital collaborative capacity initiatives constitute fifteen percent, and direct joint co-design interventions comprise five percent. This synthesis establishes a human-centered, multi-layer framework that links macro-level international collaboration architectures with micro-level classroom interactions, offering researchers, educators, and technology policymakers a structured path to safeguard child agency and relational care within digital learning implementations.
Mapping The Evidence of Instructional Leadership and Human Resource Management for AI Adoption in Primary Education. Jastin Martino
Widyagogik Vol 14, No 3 (2026): Widyagogik: Jurnal Pendidikan dan Pembelajaran Sekolah Dasar
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/widyagogik.v14i3.35320

Abstract

Despite the rapid proliferation of advanced educational technologiesranging from gamified numeracy platforms to artificial intelligence-powered inclusive learning assistantssustained adoption in primary schools frequently fails due to inadequate human resource management and a profound deficit in instructional leadership. This systematic review, adhering strictly to the PRISMA protocol, synthesizes empirical evidence to ascertain how principal leadership styles and localized human resource interventions dictate educator technology readiness. The extracted literature reveals that standard top-down administrative mandates systematically exacerbate cognitive overload among primary teachers, precipitating severe change fatigue and subsequent technology abandonment. Conversely, the findings demonstrate that distributed leadership frameworks, when structurally paired with peer-to-peer mentoring initiatives, significantly outperform traditional instructional approaches by decentralizing technical authority and contextualizing continuous professional development within pre-existing grade-level networks. To address the documented deficit in organizational psychology within contemporary educational technology research, this paper constructs a novel conceptual framework mapping the pedagogical-managerial nexus. This structural model is validated through theoretical triangulation, cross-referencing extracted global case studies to mathematically and theoretically simulate the framework's viability in mitigating educator burnout. The resulting synthesis establishes a highly objective blueprint for educational policymakers and school administrators to sustain artificial intelligence integration while preserving the cognitive equilibrium of the workforce.