From Periodic Training to Lifelong Capability: Alam's Continuous Learning Framework for Human Agency in an AI-Transformed Society

Technological acceleration, artificial intelligence, demographic change, misinformation, and recurrent labour-market disruption have made episodic education inadequate for functional and active lives. This conceptual article extends Alam's Theory of Continuous Learning as a human-centred framework for designing learning across the lifespan. The objective is to connect lifelong education with workplace capability, scientific reasoning, cultural participation, health decision-making, economic agency, and media discernment. The method is an integrative conceptual synthesis of established learning theories, international policy sources, and five illustrative cases selected for variation in setting and function: BRAC's Freirean functional education and contemporary retail apprenticeships in Bangladesh; workplace reskilling under artificial intelligence; Canada's Skills for Success architecture; adult media and artificial-intelligence literacy; and integrated health, financial, and cultural literacy for community agency. The analysis identifies a recurrent five-part cycle: encounter, critical interpretation, situated integration, capability-producing action, and reciprocal contribution followed by re-engagement. It also specifies six capability domains and four enabling conditions: access, relevance, recognition, and reciprocity. Across the cases, learning is most durable when it begins with a consequential problem, joins technical knowledge to critical reflection, permits practice in an authentic setting, makes achievement visible, and enables learners to improve the competence of others. The framework differs from conventional human-capital approaches by treating employability as necessary but insufficient; continuous learning must also strengthen health, democratic judgment, cultural navigation, and freedom from manipulation. The article proposes testable propositions, indicators, and a policy design matrix for governments, employers, universities, and civil society. Alam's framework is offered as a program-design and evaluation heuristic requiring further empirical validation, not as a universal causal law. It provides a practical basis for building equitable learning systems capable of supporting human dignity, reason-driven living, productive work, and social resilience throughout the lifespan.

continuous learning; lifelong capability; artificial intelligence; functional education; human resource development

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