AI in Education and Online Learning - Educational Leadership for Human-Centred Digital and Artificial Intelligence Transformation
DOI:
https://doi.org/10.21009/PIP.392.10Keywords:
Educational Leadership, Artificial Intelligence, Digital Transformation, Human Development, Open and Distributed LearningAbstract
This study presents a systematic literature review (SLR) guided by the PRISMA 2020 protocol to synthesise the role of educational leadership in driving digital transformation and the adoption of artificial intelligence (AI) toward human-centred development in both traditional and open and distributed learning (ODL) environments. Drawing on 15 peer-reviewed studies (2018–2024), the findings reveal that leadership serves as a pivotal mediator between technological innovation and equitable educational outcomes. Three thematic pathways emerged: (1) leadership competence for AI integration, which determines institutional readiness and ethical governance; (2) human capacity building, where teacher digital literacy and pedagogical redesign translate technology into meaningful learning; and (3) ethical and inclusive AI practices that safeguard transparency, fairness, and accessibility. The study advances a Human-Centred AI Leadership Framework that integrates four domains—educational leadership, digital transformation, AI integration, and human development—within ODL ecosystems. Conceptually, it extends transformational and distributed leadership theories toward socio-technical and ethical dimensions. In practice, it provides policy guidance for embedding AI governance, teacher professional development, and equity-driven digital strategies within national and institutional systems. The review highlights that the future of AI in education hinges not on automation, but on leadership that combines technology with humanity.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Ardin Sianipar, Widya Angelia

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with this Journal agree to the following terms:
- Author retain copyright and grant the journal right of first publication with the work simultaneously licensed under a creative commons attribution licensethat allow others to share the work within an acknowledgement of the work’s authorship and initial publication of this journal.
- Authors are able to enter into separate, additional contractual arrangementfor the non-exclusive distribution of the journal’s published version of the work (e.g. acknowledgement of its initial publication in this journal).
- Authors are permitted and encouraged to post their work online(e.g. in institutional repositories or on their websites) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published works.
-
Users/public use of this website will be licensed to CC BY-NC-SA Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License




