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how AI-enhanced pedagogical practices have evolved globally to meet digital economy
demands.
Interdisciplinary collaboration between education and technology departments has
emerged as critical for digital economy preparation (Kosmützky & Krücken, 2014). Studies
consistently show that AI-education integration requires collaboration between
pedagogical experts and technology specialists to develop effective digital learning
solutions. Ghani et al. (2022) found that leading educational technology nations including
the United Kingdom, United States, Australia, China, and Canada drive innovation in AI-
enhanced education through extensive interdisciplinary networks combining educational
research with computer science, data science, and AI expertise. These patterns suggest
that educational transformation in the digital economy increasingly depends on
collaborative capacity to bridge education and technology rather than isolated
disciplinary efforts.
2.3. Digital innovation funding and educational technology investment
The relationship between digital innovation funding and educational transformation
has received substantial attention in the digital economy era (Horta & Li, 2023). Over the
past decade, educational funding mechanisms have shifted dramatically toward
supporting AI integration, digital infrastructure development, and technology-enhanced
learning initiatives. These changes have profound implications for how institutions invest
in educational technology, prioritize digital transformation projects, and prepare students
with competencies essential for the digital workforce.

Horta and Li (2023) reviewed evidence on how funding prioritization affects
educational technology adoption and digital competency development across teaching,
learning, and workforce preparation dimensions. They found that competitive funding
models for AI-education initiatives tend to concentrate resources among institutions
demonstrating strong technology integration and measurable learning outcome
improvements, potentially creating digital divides while simultaneously driving innovation
in personalized learning and adaptive education systems. The challenge for educational
administrators involves balancing technology investment with pedagogical effectiveness,
ensuring equitable access to digital learning opportunities, and demonstrating return on
investment in terms of student digital economy readiness. Stackhouse and Day (2005)
examined how global, regional, and national developments impact research management
in universities. They identified the increasing importance of centralized research offices
and documented uneven development of research management structures across regions.
These organizational changes reflect efforts to enhance research competitiveness,
improve grant success rates, and demonstrate accountability to funding agencies and
stakeholders.
2.4. Open science and research impact

The Open Science movement has introduced new dimensions to research
evaluation and dissemination (Klebel et al., 2025). Open Access publishing, FAIR data
principles, and citizen science approaches aim to increase research transparency,
accessibility, and societal impact. Klebel et al. (2025) conducted a scoping review of 485
studies examining academic impacts of Open Science practices, identifying key areas
including citations, quality, efficiency, equity, reuse, ethics, and reproducibility. However,
the transition to Open Science raises equity concerns, particularly for researchers from
the Global South who may face barriers related to publication costs and infrastructure

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