EdTech, Leadership, and the Reconfiguration of Educational Authority: Why Transformation Begins with Leadership but Reshapes Educators Most Deeply

 

Abstract

The swift proliferation of educational technology (EdTech), especially artificial intelligence (AI), has exacerbated discussions concerning the capacity of technology to "dominate" education, either through the substitution of educators or the transformation of leadership. This paper posits, from an interpretivist and sociotechnical standpoint, that EdTech does not supplant human actors in a linear or deterministic manner. Instead, it changes the balance of power in all parts of the education system.

Drawing on recent empirical and theoretical literature (2020–2025), the analysis contends that EdTech transformation begins with leadership, due to its central role in adoption, governance, and institutional framing (Zeng et al., 2025; Berkovich, 2025). Nevertheless, the most profound effects are experienced by educators, whose professional identities, autonomy, and pedagogical practices are restructured (Ghamrawi et al., 2024; Zhai, 2024). The paper concludes that EdTech does not “take over” education in a literal sense but redistributes agency through platform governance, datafication, and algorithmic mediation, generating new tensions between human judgment and technological systems.

Introduction

The question of whether educational technology (EdTech) can “take over” education reflects broader societal concerns about automation, artificial intelligence (AI), and the future of professional work. In education, these concerns typically manifest in two dominant narratives: first, that AI may replace teachers through automation and personalised learning systems; and second, that leadership and governance structures may be overtaken by data-driven platforms and algorithmic decision-making (Berkovich, 2025; EdWeek, 2025).

Framing the issue as a binary opposition between human actors and technological systems oversimplifies the complexity of educational practice. Education is inherently relational, contextual, and institutionally embedded, shaped by cultural norms, policy environments, and professional identities (EdTech Hub, 2025a). From an interpretivist perspective, the meaning and impact of EdTech are not intrinsic to the technology itself but are constructed through the experiences and interpretations of educators and leaders (Zhai, 2024).

EdTech transformation follows a layered sociotechnical trajectory: leadership is transformed first due to its control over adoption and institutional direction, while educators experience the most profound transformations as their daily practices and identities are directly reshaped (Zeng et al., 2025; Ghamrawi et al., 2024). Thus, EdTech does not “take over” leadership or educators outright; instead, it redistributes power and agency across educational systems.

Theoretical Framework: Sociotechnical and Interpretivist Perspectives

A sociotechnical framework conceptualises education as an interaction between technological systems and social structures. Technologies are not neutral tools; they embed assumptions about efficiency, knowledge, and learning, which shape how they are used in practice (Berkovich, 2025). At the same time, human actors interpret and adapt these technologies in context, producing varied outcomes (EdTech Hub, 2025a).

Interpretivism further emphasises that:

• Knowledge is socially constructed.
• meaning emerges through lived experience
• actors actively negotiate technological change

Within this framework, EdTech is understood not as an external force acting on education but as part of a dynamic system of co-construction, where leadership, teachers, and technologies continuously reshape one another (Zhai, 2024).

Why EdTech Transforms Leadership First

Leadership as the Gatekeeper of Technological Adoption

Educational leadership functions as the primary gatekeeper of EdTech integration. School leaders and policymakers control key decisions related to procurement, infrastructure, and professional development, thereby shaping how technology enters educational systems (Zeng et al., 2025).

Empirical studies demonstrate that principals’ digital leadership significantly influences teachers’ ability to integrate AI effectively, particularly through resource allocation and institutional support (Zeng et al., 2025). Without leadership endorsement and strategic direction, even the most advanced technologies remain underutilised or misaligned with pedagogical goals (EdTech Digest, 2025).

The Emergence of AI-Assisted Leadership

Leadership itself is increasingly being reshaped by AI. Research indicates that school leaders are adopting generative AI tools to support administrative tasks, communication, and data analysis, thereby altering decision-making processes (Berkovich, 2025).

This shift reflects a broader trend toward algorithmically mediated leadership, in which decisions are informed by data analytics and predictive systems rather than solely by professional judgement (EdWeek, 2025). While these tools can enhance efficiency, they also introduce new dependencies on technological systems (Berkovich, 2025).

From Pedagogical Leadership to Platform Governance

The integration of EdTech contributes to a shift from traditional pedagogical leadership toward platform governance, characterised by:

• data-driven accountability
• reliance on dashboards and analytics
• integration into vendor ecosystems

Leadership is increasingly focused on interpreting data and managing systems rather than solely on guiding teaching and learning (EdTech Digest, 2025). This transformation does not eliminate leadership but redefines its nature and priorities (Berkovich, 2025).

Why Educators Are Not Replaced—but Are Fundamentally Reshaped

The Persistence of Human-Centred Teaching

Despite technological advancements, teaching remains fundamentally human. Core aspects of education—such as relational trust, emotional attunement, and ethical judgement—cannot be fully replicated by AI systems (Zhai, 2024).

Research emphasises that teachers play an active role in shaping how AI is used, acting as co-designers and innovators rather than passive recipients of technology (EdTech Hub, 2025a). This highlights the continued centrality of human agency in education.

Augmentation Rather Than Replacement

The dominant pattern in EdTech implementation is augmentation rather than replacement. AI tools support teachers by automating routine tasks, enabling personalised learning, and providing data-driven insights (EdWeek, 2025).

However, this augmentation introduces new challenges. Teachers must navigate increased expectations for efficiency, adapt to data-driven practices, and align their teaching with platform-defined metrics (Ghamrawi et al., 2024). These pressures can reshape professional practice in subtle but significant ways.

The Transformation of Teacher Identity

EdTech is not merely a tool but a force that reshapes professional identity. Teachers increasingly adopt roles such as facilitator, mediator, and critical evaluator of AI-generated content (Zhai, 2024).

Frameworks describing teacher engagement with AI highlight stages of development, from initial adoption to collaborative innovation (Zhai, 2024). At the same time, research suggests that AI can both expand and constrain teacher leadership, depending on implementation contexts (Ghamrawi et al., 2024).

The Sequential Logic of EdTech Transformation

A synthesis of the literature reveals a patterned sequence of change:

1. Leadership transformation through adoption and policy alignment (Zeng et al., 2025)
2. System-level restructuring via platforms and data systems (EdTech Digest, 2025)
3. Pedagogical change in classroom practices (EdWeek, 2025)
4. Identity negotiation among educators (Zhai, 2024)

This sequence clarifies why leadership is transformed initially, whereas educators experience more substantial long-term effects.

The Real Risk: Deprofessionalisation, Not Replacement

The most significant risk associated with EdTech is not the replacement of teachers but the deprofessionalisation of teaching.

Datafication and Standardisation

EdTech systems prioritise measurable outcomes and standardised metrics, which can narrow pedagogical approaches and reduce reliance on professional judgement (Berkovich, 2025).

Platform Dependency

Educational institutions increasingly rely on proprietary platforms, raising concerns about commercial influence and loss of autonomy (EdTech Digest, 2025). Teachers may be required to align their practices with platform constraints rather than pedagogical principles.

Invisible Transformation

These changes are often gradual and difficult to detect, making them more challenging to resist. Teachers are not replaced; rather, their work is increasingly shaped by external systems (Ghamrawi et al., 2024).

The Continuing Role of Human Agency

Despite these challenges, human agency continues to play a central role.

Teachers actively interpret and adapt technologies, ensuring that they are responsive to local contexts and student needs (EdTech Hub, 2025b). Similarly, leaders mediate the use of EdTech, balancing technological possibilities with ethical and pedagogical considerations (Berkovich, 2025).

Discussion: Beyond the “Takeover” Narrative

The notion of EdTech “taking over” education is overly simplistic. Rather than replacing human actors, EdTech redistributes agency and reshapes power relations (Zhai, 2024).

This transformation is influenced by context, including policy environments, institutional cultures, and resource availability (EdTech Hub, 2025a). From an interpretivist perspective, the key issue is how actors make sense of and respond to technological change.

Conclusion

EdTech does not take over leadership or educators in a linear or deterministic manner. Rather, it initiates a layered transformation that begins with leadership and ultimately reshapes educators most profoundly.

Leadership is transformed first because it controls adoption and governance. However, educators experience bigger changes as their professional identities and practices are reconfigured within new sociotechnical systems (Ghamrawi et al., 2024; Zhai, 2024).

The primary risk is not replacement but deprofessionalisation, as teaching becomes increasingly aligned with platform logic and data-driven metrics. Nevertheless, opportunities remain for educators and leaders to shape the role of AI in ways that preserve human agency and pedagogical integrity.

Ultimately, the future of education will be determined not by technology alone but by the human choices that guide its use.

References

Berkovich, I. (2025). The rise of AI-assisted instructional leadership. Frontiers in Education.

EdTech Digest. (2025). State of EdTech district leadership report.

EdTech Hub. (2025a). Teachers shaping the role of AI in education.

EdTech Hub. (2025b). What teachers are telling us about AI in education.

EdWeek. (2025). Teachers and principals are turning to AI.

Ghamrawi, N., et al. (2024). AI and teacher leadership. Education and Information Technologies.

Zeng, M., et al. (2025). Digital leadership and AI integration. Frontiers in Education.

Zhai, X. (2024). Transforming teachers’ roles in the era of AI. arXiv.