Abstract:

This paper focuses on the relationship between innovation and education, especially on challenges from current technological changes. One of the expected outcomes of education is training today's youth for the needs that our society will have tomorrow. Until recently, education policies could anticipate a fair amount of the characteristics of tomorrow's society, its configuration, its professions, its values, its main internal correlations, priorities for development, the impact of the dominant technologies, etc. This projection was then converted into critical strategies and methodologies, including school plans and programs, pedagogical approaches, training and teacher training programs, professional development, and employment paths.

The digital technologies that shape our world today accelerate change exponentially, not linearly, making projections much more difficult. In previous eras, the technologies that shaped development followed a linear path, from disruptive innovation to a large-scale diffusion of technological change. In contrast to past technological revolutions, Artificial Intelligence (AI) is generative, acting as a catalyst for continuous scientific and technological innovation. Integrating Artificial Intelligence (AI) in education is becoming increasingly pivotal as educators, students, and policymakers grapple with its implications and potential. AI-powered adaptive learning platforms are up-and-coming, dynamically adjusting content difficulty and providing real-time feedback to optimize student engagement and understanding (Oxford University Press, 2023). However, integrating AI in education also raises concerns about exacerbating inequalities. Unequal access to AI tools could worsen academic disparities, and differences in educational standards and policies may lead to varying student experiences with AI (Berkman Klein Center, 2022).

In this context, our paper discusses the nature of AI-driven innovation and its potential impact in education. Next, we look at best educational practices (i.e., national and international policies, programs, and strategies) by looking at both countries at the forefront of innovation and countries that lag. The end goal of the paper is to provide recommendations on strengthening the focus on education for innovation while societies navigate the digital revolution.

Keywords:

Education, innovation, artificial intelligence, digital revolution.