Nested hierarchical structure is one of life's most familiar properties and a major component of biological diversity and complexity. However, there is little effort to teach the evolution of the hierarchy of life, as there is little effort to teach biological complexity per se. We propose a framework for teaching biological complexity based on…

This is the technical appendix for the report, "Science and Technology: Public Attitudes, Knowledge, and Interest." It provides more information on the General Society Survey (GSS) and the other data sources used in this report. Categories in the technical appendix include: (1) Methodology Notes for General Social Survey Data; (2) Other…

The concepts and paradigms "development", "evolution", and "developmental behavior genetics" target, in their statements, populations. The laws of genetics and evolution are supposed to apply to every single case in a population. It can be counted among the major contributions of Gottlieb (1992, 1995) to have pointed…

Contends that social and human sciences are going to be changed by the new ideas and knowledge concerning the evolution of complex systems that is emerging from the natural sciences. Suggests that the work on self-organization theory and synergetic phenomena can serve as the basis for a new science that will allow the study of human systems in…

Both in Europe and the United States there is a growing interest in design research. One example is the design and validation of topic-oriented teaching-learning sequences. This research may be said to have two objectives. One is to design and test "useful products", such as teachers guides and study material for students, which may be…

In artificial life research, scientists use the principles of evolution to develop complex behaviors from simple elements. By creating lifelike processes, they are trying to understand real organisms and explore possibilities for life in other circumstances. Techniques used are diverse, including biological testing, robotics, and computer…

Examines evolutionary trends, specifically trends in size, complexity, and fitness. Notes that documentation of these trends consists of either long lists of cases, or descriptions of a small number of salient cases. Proposes the use of random samples to avoid this "saliency bias." (SR)