Project Background
Although evolutionary theory is the fundamental
explanatory principle in biology, it continues to be widely misunderstood
and even
rejected by a majority of Americans. In a recent poll, only 29% agreed
that evolution was “mostly accurate” or “completely
accurate”. The remaining 71% said it was “mostly not accurate,” “completely
not accurate,” “not sure” or “might or might
not be accurate, you can never know for sure.” [1] A college education
improves understanding, but not as much as one would hope; in another
poll, 32% of students answered “no” to the question “Do
you think that the modern theory of evolution has a valid scientific
foundation?” [2] Particularly disturbing is the finding that nearly
40% of high school biology teachers think “there are sufficient
problems with the theory of evolution to cast doubts on its validity” [3].
Even students who accept the validity of evolution in general turn out to have
many specific misconceptions about it. For instance, students commonly think
that the environment itself causes traits to change in an organism over time.
They do not view genetic variation as important. They think that all individuals
slowly change in their traits over time, rather than recognizing evolution as
involving changes in populations of individuals with discrete traits [4].
As Theodosius Dobzhansky famously observed, “Nothing in biology makes sense
except in the light of evolution.” [5] National standards thus properly
emphasize the centrality of evolution as a major unifying theme in the science
curriculum as well as the overarching importance of understanding the nature
of science [6]. There is also a significant trend in science education to get
students involved in inquiry-based and active learning as a better way for them
to learn scientific methods of inquiry [7]. However, the evolutionary process
is difficult or impossible to demonstrate in the classroom. Our project aims
to solve this problem and meet this need by adapting an established artificial
life research platform for use as a novel educational tool.
Artificial life research is a core area of what has become an exciting
cross-fertilization between evolutionary biology and computer science
and engineering. Computer scientists
and engineers, inspired by the workings of evolution in nature, realized that
they could apply the same powerful Darwinian mechanism in computers for their
own purposes, such as for complex industrial design. This technology has recently
progressed to the point that biologists can use it for their own research. One
of the most advanced artificial life systems is known as Avida, and it has become
the platform of choice for certain difficult questions in experimental evolution.
We believe that this digital evolution platform can also now become a revolutionary
new educational tool that can help undergraduate students—our future researchers
and teachers—understand and appreciate not only the power of the evolutionary
mechanisms to produce biocomplexity, but also the nature of scientific reasoning
itself.
Observing evolutionary design is scarcely feasible in a natural system, but it
can occur on very short time scales in the digital environment of Avida. This
makes it possible for the first time for students to run evolution experiments
in a laboratory course. Students can explore, observe, and test evolutionary
concepts in a game-like computational environment, allowing them to gain first-hand
experience on a topic that might otherwise seem quite abstract. With evolutionary
methods, students can learn to manipulate complex systems and observe their emergent
properties. Guided exercises built around such inquiry-based experiments can
also help students learn about the nature of scientific evidence and reasoning
and come to understand that evolution by natural selection not only has a valid
scientific foundation, but is exemplary as a well-confirmed, powerful scientific
principle.
• REFERENCES
1. People for the American Way Foundation, 2000. Evolution and creationism
in public education: an in-depth reading of public opinion. http://www.pfaw.org/issues/education/creationism-poll.pdf
2. Lord, T., and S. Marino. 1993. How university students view the
theory of evolution. Journal of College Science Teaching. 22:353-357.
3. Eve, Raymond A. and D. Dunn. 1990. "Psychic powers, astrology
and Creationism in the classroom? Evidence of pseudoscientific beliefs
among high school biology and life-science teachers." The American
Biology Teacher 52 (Jan.): 10-21.
4. Alters, B., C. Nelson. 2002. Perspective: Teaching Evolution in
Higher Education. Evolution. (Vol. 56, No. 10, pp. 1891-1901)
5. Dobzhansky T. 1973. Nothing in biology makes sense except in the
light of evolution. The American Biology Teacher 35: 127-9
6. National Academy of Science. 1998. Teaching about Evolution and
the Nature of Science. Washington DC, The National Academies Press
7. National Research Council. 2000. Inquiry and the National Science
Education Standards. Washington DC, The National Academies Press