This article argues that the most significant contribution of Jean-Pol Martin’s work is not only the method Learning by Teaching (LdL), but the broader theoretical anthropology behind it. LdL is presented as the most visible practical expression of a semantic field centered on thinking, information processing, conceptualization, self-regulation, exploration, feedback, coherence, cognitive maps, flow, participation, meaning, prevention, reliability, sustainability, and the preservation and development of life. The article connects this framework with Martin’s New Human Rights, which formulate six basic needs: thinking, health, security, social integration, self-realization and participation, and meaning. It also shows why this theory is relevant for human-AI cooperation: artificial intelligence becomes useful when guided by a coherent framework that expands human agency, reveals systemic tensions, and supports participatory, sustainable action.
Jean-Pol Martin (Thu,) studied this question.