Theoretical and Applied Economics
No. 4 / 2025 (645), Winter
The acceleration of education: professors, AI platforms and the transformation of learning and human growth
Bodislav & Associates, Romania
Dumitru Alexandru BODISLAV
Bucharest University of Economic Studies, Romania
Ionuț Valeriu ANDREI
Bucharest University of Economic Studies, Romania
Abstract. The incorporation of artificial intelligence (AI) into education represents a transformative shift in the ways societies organize learning and shape human development. Far beyond a technological upgrade, AI reshapes the functions of professors, learners, and institutions, generating implications that extend well outside the classroom. Adaptive learning systems and AI-driven tutors offer individualized learning trajectories that may enhance efficiency, engagement, and mastery; however, they also invite concerns regarding excessive dependence on automated support, the weakening of critical thinking, and the narrowing of intellectual autonomy. As a result, the role of the professor is evolving from that of primary knowledge distributor to that of mentor who cultivates inquiry, collaboration, and ethical discernment.
AI’s impact on cognitive and psychological development is particularly profound. Although digital tools broaden access to information, the externalization of memory, interpretation, and analytical reasoning may erode sustained attention, creativity, and intrinsic motivation. The advantages provided by AI are also unevenly distributed, often reinforcing existing social disparities by favouring individuals and communities with stronger digital infrastructures and higher levels of technological literacy. At the same time, issues of data governance, algorithmic bias, and subtle forms of behavioural shaping raise complex ethical dilemmas for student autonomy and institutional trustworthiness.
From a cultural perspective, AI risks contributing to the homogenization of educational content, potentially weakening local knowledge systems and diverse epistemologies. Nonetheless, when deployed responsibly, AI can act as a facilitator of global knowledge flows, intercultural exchange, and collaborative innovation. This paper argues that the trajectory of human development in the AI era will depend not only on technological advancement but also on intentional decisions regarding equity, ethics, and the safeguarding of human agency within learning processes.
Contents
Dynamic risk spillovers in European Stock Markets: a TVP-VAR Approach
Co-movement and causality among exchange rates: a wavelet analysis
Financial development and economic growth in emerging economies: the mediating role of entrepreneurship
House prices and macroprudential policy in the Romanian economy: evidence from a BVAR analysis
The impact of short-run and long-run dynamics on manufacturing sector development in Indonesia and Malaysia
Purchasing Power Parity theory in exchange rate determination: evidences from the G-20 nations
Assessment of external macroeconomic imbalances in Romania
Remittances and domestic demand: evidence from Romania
How do energy consumption, natural resources, trade openness and FDI affect environmental quality in Algeria? Fresh insights from the novel DYNARDL simulations and KRLS approach
The acceleration of education: professors, AI platforms and the transformation of learning and human growth
Poverty, unemployment, and mental health: differential impacts among university graduates in Kenya, South Africa, Uganda, and Zambia
Assessing the relationship between institutions and economic development
Cedi depreciation and petroleum price shocks: economic interlinkages and macroeconomic implications
Effects of climate change on food security and sustainable development in Saudi Arabia: Autoregressive Distributed Lag approach
Corruption in digital environments
Beyond linearity: an ARDL threshold analysis of inflation's impact on Tanzania's economic growth from 1994 to 2024
Sustainable consumption and experimental economics – a bibliometric analysis
Heterogeneous and dynamic impacts of growth, urbanization, deforestation, and energy intensity on environmental degradation in Africa using the MM-Quantile regression method
Institutional governance in developing countries, political factors as drivers of institutional change: evidence from sub-Saharan Africa