Semantic field:Central to Martin’s entire theory, both for LdL and for the New Human Rights, are the following interacting concepts: thinking (information processing and
conceptualization) –
control –
antinomies –
dialectical thinking –
exploratory behavior – cognitive map –
flow effect – top-down/bottom-up – centripetal/centrifugal forces – neuronal behavior – linearity/nonlinearity –
homeostasis – integration/differentiation – centralization/decentralization –
self-referentiality – coherence.
Learning by teaching (LdL) Martin established the
learning by teaching method () for students to learn by teaching their peers. The method became widely used in Germany in secondary education, and in the 1990s it was further formalized and began to be used in universities as well, and has spread to other disciplines and other countries worldwide. By 2008, Martin had retired, and although he remained active,
Joachim Grzega, Isabelle Schuhladen and Simon Wilhelm Kolbe took the lead in developing and promulgating LdL. The "New Human Rights" contain an anthropological, an ethical and a political part, based on the following needs: 1. thinking, 2. health, 3. security, 4. social inclusion, 5. self-fulfilment and participation, 6. meaning. In this way, greater operationalisability is achieved. An empirical basis is being developed by Nicole Kern, founder of the NMR agency. Furthermore, Martin is endeavouring to empirically test the effectiveness of NMR in the context of local politics. Finally, Simon Wilhelm Kolbe has founded a series "New Human Rights" in the Gabriele Schäfer Verlag, which already comprises several volumes.
Human–AI Symbiosis Since 2023, Jean-Pol Martin has increasingly focused on the study of interactions between humans and artificial intelligence. He regards structured collaboration with AI systems such as ChatGPT as a new epistemological paradigm. Building on his theory of the “New Human Rights” (NMR), which emphasizes six universal basic needs such as thinking, participation, and meaning (see below), he has developed a model of co-evolutionary human–AI symbiosis. He understands this as a form of cooperation based on resonance, feedback, and structural compatibility, in which human goal-orientation and AI-supported systematization mutually reinforce each other. ==Books==