Abstract
Numerous empirical studies have provided evidence of the effectiveness of an explicit and reflective approach to the learning of issues associated with the nature of science (NOS) (c.f. Abd-El-Khalick and Lederman in J Res Sci Teach 37(10):1057–1095, 2000). This essay reports the results of a mixed-methods association study involving 130 preservice teachers during the course of a three class unit based upon the history of science using such an approach. Within the unit the phenomenon of industrial melanism was presented as a puzzle for students to solve. Students were explicitly asked to reflect upon several NOS issues as they developed and tested their own explanations for the “mystery phenomenon”. NOS views of all participants were characterized by means of surveys and follow-up interviews with a subsample of 17 participants, using a modified version of the VNOS protocol (c.f. Lederman et al. in J Res Sci Teach 39(6):497–521, 2002). An analysis of the survey results informed by the interview data suggests NOS views became more sophisticated for some issues, e.g., whether scientific knowledge requires experimentation; but not others, e.g., why scientists experiment. An examination of the interview data informed by our experiences with the unit provides insight into why the unit may have been more effective with regard to some issues than others. This includes evidence that greater sophistication of some NOS issues was fostered by the use of multiple, contextualized examples. The essay concludes with a discussion of limitations, pedagogical implications, and avenues for further research.
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Notes
This consensus view that appears to equate understanding of NOS with a relatively short list of declarative claims has been the object of considerable recent debate. Clough (2007) contends students would be better served if practitioners discussed these issues as open-ended questions, rather than facts be memorized. Irzik and Nola (2011) present an alternative approach based on a notion of family resemblance; Allchin (2011) provides a fundamentally different approach to assessing NOS based upon a reframing of how NOS is characterized from a list of tenets to a multidimensional perspective of the practice of science. These debates unfortunately fall outside the scope of the present essay.
A Two-sided Welch Two Sample t test revealed males in the study population were significantly older than females [t(19) = 2.34, p = 0.03]; but there was no significant difference between them with regard to achievement as measured by final grade [t(27) = 1.29, p = 0.206]. The bins for races other than Caucasian were too small (≪30) for any meaningful statistical tests to be performed.
Lab sections were taught by inquiry (i.e., laboratory instructors taught primarily by means of carefully worded questions aimed at facilitating student driven discussions of and about biological topics and the process of science). Lecture sessions were devoted to practicing example problems of the sort that would appear on exams, with students attempting to solve problems on their own and with the help of the person seated next to them before the class as a whole discussed their answers.
Only one lecture session took place during the course of this three lab sequence. Students practiced problems that required them to distinguish evidence for natural selection from evidence for common descent. They also practiced explaining microevolutionary phenomena in terms of natural selection and did some concept mapping.
In the text that follows, results of the present study will be compared with those of the fourth author’s previous study (Howe 2004) as reported in Howe and Rudge (2005). The results of Abd-El-Khalick’s (1998, 2001) previous study were not reported in such a way to allow a question by question comparison with the results of the present study.
Interview data was used primarily to assess whether participants interpreted the survey questions as intended and whether written responses were being interpreted as the students intended. For the most part good agreement was found between participant written responses and views shared during the interviews, but some discrepancies (discussed in Sect. 6 below) were also found.
The codes for Question 6b included one code (3, vague reference to an example from the Mystery Phenomenon Unit [MPU]) that was ultimately not identified by the first author in any of the pre- or post-responses. This code was initially introduced in parallel with other items (1c, 2b and 4b) against the theoretical possibility one or more of the references to examples to the Mystery Phenomenon would be judged vague, rather than reflective. The first author chose to retain this unused code in the coding and ranking schema against the possibility the independent coder would identify an example from the Mystery Phenomenon Unit as only a vague reference among responses to Question 6b.
Question 3 was not included in surveys used in Howe (2004).
The total population of participants asked this question in Howe’s (2004) study was 42 rather than 81 because of a change in its wording between semesters when the survey was administered.
Question 6(a & b) was not included in surveys used in Howe (2004).
For this quotation and others in this section, in parenthesis is identified: (1) the number randomly assigned to the participant, (2) the source of the quotation, and (3) how the participant's response to the question was scored pre- to post-. In general, lower numbers represent codes that were ranked as more sophisticated.
The decline in rank for Question 6b was not determined to be statistically significant, because, as discussed in Sect. 3.1 above, Question 6b could not be analyzed using the Stuart-Maxwell test for marginal homogeneity.
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Acknowledgments
This material is based on work supported by the National Science Foundation Grant No. 0202923. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. The authors here acknowledge the assistance of Professor Joshua Naranjo, Department of Statistics, Western Michigan University with regard to the statistical analyses; Phyllis Haugabook Pennock, who administered surveys and conducted most of the interviews; Katherine Rowbotham and Brandy Ann Skjold, who wrote up transcripts from the interviews; and Charles Henderson and Heather Petcovic, who gave us comments on an earlier draft of this manuscript. Thanks also to the participants at the IHPST 2009 conference and the International History of Science in Science Education (8th ICHSSE) conference held at Maresias, Brazil, where a preliminary report of these findings was shared.
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Appendix: VNOS Survey
Appendix: VNOS Survey
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1.
Often in science we hear words like “theories” to describe scientific knowledge.
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(a)
What is a theory?
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(b)
How are theories created?
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(c)
Give an example of when you have created or used a theory?
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2.
After scientists have developed a scientific theory (e.g., atomic theory, theory of gravity), does the theory ever change?
If you believe that scientific theories do change:
a. Explain why.
b. Defend your answer with examples.
If you believe that scientific theories do not change:
a. Explain why.
b. Defend your answer with examples.
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3.
What is an experiment?
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4.
Does the development of scientific knowledge require experiments?
If yes, explain why and give an example to defend your position.
If no, explain why and give an example to defend your position.
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5.
It is believed that about 65 million years ago the dinosaurs became extinct. Of the hypotheses formulated by scientists to explain the extinction, two enjoy wide support. The first, formulated by one group of scientists, suggests that a huge meteorite hit the earth 65 million years ago and led to a series of events that caused the extinction. The second hypothesis, formulated by another group of scientists, suggests that massive and violent volcanic eruptions were responsible for the extinction. How are these different conclusions possible if scientists in both groups have access to and use the same set of data to derive their conclusions?
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6.
Scientists perform experiments/investigations when trying to find answers to the questions they put forth. Do scientists use their creativity and imagination during their investigations?
If you believe yes, scientists do use imagination and creativity,
a. Explain why, indicating which stages this occurs (planning and design, data collection, after data collection).
b. Defend your answer with examples.
If you believe no, scientists do not use imagination and creativity,
a. Explain why.
b. Defend your answer with examples.
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Rudge, D.W., Cassidy, D.P., Fulford, J.M. et al. Changes Observed in Views of Nature of Science During a Historically Based Unit. Sci & Educ 23, 1879–1909 (2014). https://doi.org/10.1007/s11191-012-9572-3
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DOI: https://doi.org/10.1007/s11191-012-9572-3