Open Access

Investigating the relationship between college students’ acceptance of evolution and tree thinking understanding

  • Emily M Walter1Email author,
  • Kristy M Halverson2 and
  • Carrie Jo Boyce2
Evolution: Education and Outreach20136:26

DOI: 10.1186/1936-6434-6-26

Received: 14 August 2013

Accepted: 14 August 2013

Published: 9 September 2013

Abstract

Background

Recent research suggests a relationship between understanding of macroevolutionary principles (such as phylogenetics) and acceptance of evolution in biology majors.

Method

The purpose of this study was to quantitatively investigate the relationship between ability to interpret phylogenetic trees (tree thinking) and acceptance of evolutionary theory for 92 university non-science majors before and after a general education biology course.

Results

We found that the majority of students taking the course held strong religious affiliations but were still open to having their mind changed and accepted evolution as a valid scientific theory. Students started and ended the course with a relatively high acceptance of evolutionary theory, but the nature of their acceptance changed significantly and we documented several such shifts. Additionally, we found a significant increase in students’ tree thinking understanding after instruction and a slight, but significant, correlation between evolution acceptance and tree thinking understanding.

Conclusions

Our investigation demonstrated that targeted evolution instruction using a tree thinking approach may alter students’ acceptance of evolution, even if the students initially hold strong anti-evolution ideas. By learning how college students understand and develop ideas about evolution using a visual approach, we can better target areas of confusion and begin forming guidelines for effective evolution instruction.

Keywords

Evolution education Evolution acceptance Tree thinking Phylogenetic trees College students

Background

Evolution is a central organizing principle of the biological sciences (American Association for the Advancement of Science (AAAS) 19932011; Bybee 1997; Kagan 1992; National Association of Biology Teachers (NABT) 2010; National Research Council (NRC) 1996), and provides explanations for practical phenomena such as antibiotic resistance, the artificial selection of domesticated animals and food plants, and the diversity and history of life (AAAS 2011). Although there is little to no controversy surrounding evolution in the scientific community (Alters and Alters 2001), acceptance by the American public is largely lacking. A number of studies document this issue; surveys generally report around one in three American adults firmly rejecting evolution, a significantly higher proportion than any western European country (Miller et al. 2006). Acceptance is slightly higher among Americans with some college education, with 49% accepting evolution for plants and non-human animals (but only 22% accept human evolution) (Lovely and Kondrick 2008). The general education biology course is a potential (and perhaps final) opportunity to influence evolution literacy for college educated individuals. It is therefore critical to understand how and what students learn about evolution in general education biology courses and how/if this knowledge is related to their evolution acceptance.

Literature review

Several studies have hypothesized a link between knowledge and acceptance of evolution (for example, Anderson et al. 2002; Bishop and Anderson 1990; Demastes et al. 1995; Lord and Marino 1993; Nehm and Schonfeld 2008; Sinatra et al. 2003; Butler 2009). The outcome of these studies has been consistent: there is little or no relationship between knowledge of natural selection and acceptance of evolution. Furthermore, instruction seems to be limited to improving only knowledge of natural selection and not evolution acceptance (Bishop and Anderson 1990; Demastes et al. 1995; Jensen and Finley 1996; Asterhan and Schwarz 2007; Stover and Mabry 2007). A notable exception is Robbins and Roy (2007), who found significant changes in evolution acceptance instruction focused on evolution misconceptions and the evidence for evolution. However, psychometric tests to confirm the validity and reliability of the Robbins and Roy instruments were not published.

Although knowledge of natural selection has little influence on acceptance, knowledge of macroevolutionary content (deep time, speciation, common ancestry; Campbell and Reece 2005) may influence evolution acceptance (Nadelson and Southerland 2010a). Nadelson and Southerland document that evolution acceptance is correlated with knowledge of macroevolution (r[741]= 0.47, P <0.01) for biology majors (Nadelson and Southerland 2010b). Furthermore, knowledge of macroevolution (t[146]=2.77, P <0.01) and evolution acceptance (t[146] = 3.38) significantly increase after a one-semester course, documenting a need to further investigate the impact of macroevolution coursework on student outcomes.

Our study examines students’ knowledge of phylogenetics, a key subcomponent of macroevolution (Catley 2006; Nadelson and Southerland 2010a), that is often taught using phylogenetic (evolutionary) trees. Several authors have called for inclusion of phylogenetic trees in biology instruction (for example, Baum et al. 2005; Meir et al. 2007; Novick and Catley 2007). Unfortunately, trees are difficult for students as they have substantial visual conventions that are not particularly intuitive for novice readers (Halverson et al. 2011) (for example, Halverson et al. 2011; Gregory 2008; Naegle 2009; Perry et al. 2008). Poor content understanding, along with the non-intuitive nature of trees, can lead to students misinterpreting branching structures (Gregory 2008; Halverson 2011; Halverson et al. 2011; Novick and Catley 2012). These difficulties only add to the challenge of changing students’ ideas about evolution (for example, Bishop and Anderson 1990; Demastes et al. 1995; Nehm and Reilly 2007). Considering these challenges and the correlational findings of Nadelson and Southerland (2010b), we approached this study with the goal of investigating students’ knowledge of phylogenetic trees (hereafter referred to as tree thinking) and evolution acceptance before and after a general education biology course.

Research questions

The purpose of this study was to investigate the role of a general education biology course taught with a tree thinking approach on non-science majors’ tree thinking understanding and acceptance of evolution. Specifically, we sought to address three questions: (1) What are students’ views of evolution acceptance before and after the course?; (2) What are students’ understandings of tree thinking before and after the course?; and (3) What is the relationship between evolution acceptance and understanding of tree thinking before and after the course?

Methods

Participants included 92 students enrolled in a general education biology course for non-science majors at a university in the southern United States. Only individuals who provided consent to participate in the study and completed all assessments were included in the study. We purposefully selected the general education biology classroom based on the instructor’s background in both evolutionary biology and science education. She had five years of experience teaching evolutionary content with a tree thinking focus, including developing and using instructional interventions to target commonly held tree thinking misconceptions (Halverson 2010).

Instructional approach of the course

The 15-week course was divided into four units: Unit One, Nature of Science; Unit Two, Environment; Unit Three, Genetics; Unit Four, Evolution. The first three units were taught with a foundation in evolution, in an effort to help students be less resistant to the content presented in the evolution unit. The evolution unit (Unit Four) was five lectures in duration (each 75 minutes), and synthesized content from the three previous units. The instructional approach to this unit was unique in that the instructor used a tree thinking approach to present the material. A tree thinking approach is the process of frequently using phylogenetic tree images to help students understand the content (Baum and Smith 2012).

Data collection

We measured student pre/post acceptance of evolution and understanding of tree thinking with two tools: the Measure of Acceptance of the Theory of Evolution (MATE; Rutledge and Warden 1999) and the Tree Thinking Concept Inventory (TTCI; Naegle 2009). The MATE is a 20-item, 5-point Likert scale instrument that measures students’ acceptance of evolution (20 (reject) - 100 (accept)). The TTCI is a 26-item multiple choice instrument that measures students’ understanding of phylogenetic trees. Both instruments are considered valid and reliable for use with undergraduate non-science majors (Naegle 2009; Rutledge and Sadler 2007). In addition to the TTCI and MATE, we included an additional set of questions to qualify students’ nature of evolution acceptance (NOA), identify demographics, document previous instruction on evolution and phylogenetic trees, and test confidence in responses. These questions are provided in Additional file 1: Appendix B.

The MATE instrument was used in its original form. We elected to modify the TTCI after analysis by two content experts. Nine scientifically inaccurate questions were eliminated, resulting in a modified TTCI with 17 multiple choice questions (Additional file 1: Appendix A). We also revised answer formats for TTCI questions that did not force a single correct response, that is, options that allowed for more than one correct answer (for example, ‘more than one of the above’). Multiple correct answers did not function well for test administration over an electronic course management system. After revision, the modified version of the TTCI instrument was approved by Naegle and confirmed to have good reliability (α = 0.707).

Analysis

We scored pre-/post-test student responses on the MATE and TTCI. Student responses on the MATE were scored in accordance to the Likert scale provided in the initial publication (Rutledge and Warden 1999). On the TTCI, students received 1 point for each answer that was the most scientifically accurate. After scoring student responses, the data were placed in SPSS 19.0 for quantitative analyses.

We first ran a line item analysis to look for trends in student responses and to identify item discrimination power as evidence for purposeful answer selections. We subsequently ran a paired-sample t-test to identify if there were significant differences in responses pre/post instruction on each assessment. Third, we ran a cross-tabs analysis to determine the chi-squared valued related to students’ confidence in their responses. We also ran Pearson’s correlations among students’ acceptance of evolution, the nature of their acceptance, and their tree thinking scores. Effect sizes were also calculated for the pre- and post-test scores to provide an additional meaningful measure.

Results

Students’ acceptance of evolution

We hypothesized that there would be a low level of acceptance of evolution prior to the course (that is, below 60 on the scale of 20 (reject) to 100 (accept)), since the course was held in the ‘Bible Belt’ of the American south and the majority of students claimed to hold strong religious beliefs. However, we found that the majority of students had above average acceptance of evolution (per classifications of Rutledge 1996). Student acceptance was above neutral, at 64.9±13.9 before the course and remained so after the course (65.9±13.9) (see Table 1). There was no statistical significance in the 1-point increase between the pre- and post-course MATE scores. Upon analysis of specific questions to related to acceptance (NOA), we found that the majority of students (72%) held a theistic view of evolution (for example, ‘I believe evolution happened, but I also believe God created all life on Earth’) throughout the course.
Table 1

Student scores pre- and post-instruction in a general education biology course with focus on tree thinking

Pair

Mean

n

SD

SEM

df

t

Sig (2-tailed)

Cohen’s d

Effect size r

1

Pre-MATE

64.93

92

13.817

1.441

91

0.978

0.331

0.074

0.037

Post-MATE

65.90

92

12.354

1.288

2

Pre-TTCI

5.46

92

2.959

0.309

91

2.254

0.027a

0.294

0.145

Post-TTCI

6.37

92

3.240

0.338

3

Pre-NOA

1.40

92

1.130

0.118

91

2.427

0.017a

0.365

0.179

Post-NOA

1.84

92

1.278

0.133

aSignificance at <0.05.

MATE: Measure of Acceptance of the Theory of Evolution (Rutledge and Sadler, 1999); NOA: questions related to the Nature of Acceptance of evolution as developed by authors; SD: Standard deviation; SEM: Standard error of the mean; TTCI: Tree thinking Concept Inventory (Naegle 2009).

Students had a significant shift (t(91) = 2.427, P=0.017) in the overall nature of their acceptance (NOA) from the beginning of the course (Pre-NOA) to after the course (Post-NOA) on particular questions. For example, 9% of students held the belief that ‘evolution does not happen as scientists claim’ and did not expect to have their mind changed. However, by the end of the course, this response dropped to 3% with only one individual selecting the same response on both assessments.

Students also shifted ideas about common ancestry to be more in line with scientific understanding (30% pre-instruction to 42% selecting the scientifically accurate response post-instruction). Before the class, 38% did not think there was a common ancestor between humans and apes. By the end of the course, the majority of students (70%) thought that evolution provided evidence of a common ancestor connecting human and ape lineages. Furthermore, 48% of all students understood that that this shared ancestor was neither human nor ape, and no students claimed that evolution provided evidence that humans evolved from apes.

Students’ tree thinking

There was a statistically significant increase (t(91) = 2.254, P=0.027) in tree thinking scores (maximum score of 17) between the pre-TTCI and post-TTCI (Table 1). Item discrimination power ranged from -0.174 to 0.065 on the pre-TTCI. This result indicated high level of students randomly choosing (guessing) their responses. After the course, item discrimination power ranged from 0.130 to 0.370 on the post-TTCI. Students also self-reported that they gained confidence in answering questions regarding phylogenetics after instruction (χ2(4) = 24.87, P< 0.001). Thus, we conclude that students relied less upon guessing at the end of the course when answering tree thinking questions.

Relationship between acceptance of evolution and tree thinking

We searched for a relationship between students’ pre-/post-MATE and pre-/post-TTCI scores. We found a significant, high correlation effect (r=0.74) between the pre-MATE and post-MATE (P <0.01). We also found low correlation effects (significance at P <0.05) for the following relationships (Table 2): pre-TTCI and post-TTCI (r=0.21); pre-TTCI and pre-MATE (r=0.21); pre-TTCI and post-MATE (r=0.26); post-TTCI and post-MATE (r=0.22). When we tested for correlations with the additional questions addressing the nature of students’ acceptance pre-NOA and post-NOA, student NOA responses were correlated with their pre-MATE (r=0.30, P <0.01) and post-MATE scores (r=0.24, P >0.05).
Table 2

Correlations among student responses on data collection instruments

  

Pre-TTCI

Post-TTCI

Pre-NOA

Post-NOA

Pre-MATE

Post-MATE

Pre-TTCI

Correlation

1

     

Sig

      

N

92

     

Post-TTCI

Correlation

0.22a

1

    

Sig

0.04

     

N

92

92

    

Pre-NOA

Correlation

0.08

-0.04

1

   

Sig

0.45

0.72

    

N

92

92

92

   

Post-NOA

Correlation

0.08

0.16

-0.02

1

  

Sig

0.46

0.14

0.89

   

N

92

92

92

92

  

Pre-MATE

Correlation

0.21a

0.03

0.30b

0.15

1

 

Sig

0.05

0.81

0

0.17

  

N

92

92

92

92

92

 

Post-MATE

Correlation

0.26a

0.22a

0.24a

0.11

0.74b

1

Sig

0.01

0.04

0.02

0.30

0

 

N

92

92

92

92

92

92

aSignificance at <0.01 level (2-tailed).

bSignificance at <0.05 level (2-tailed).

MATE: Measure of Acceptance of the Theory of Evolution (Rutledge and Warden, 1999); NOA: questions related to the Nature of Acceptance of evolution as developed by authors; TTCI: Tree Thinking Concept Inventory (Naegle 2009).

Discussion

Student acceptance of evolution is most often considered a product of an individual’s views of science and religion. Although students from this study were from the American south, in a state where 58% of the population considers themselves ‘very religious’ (Newport 2013), most were open to being convinced that evolution was valid in spite of initially rejecting evolution (NOA Question 2, Response B). This is contrary to what some studies suggest about the stability of evolution acceptance among religious individuals (Demastes et al. 1995; Downie and Barron 2000; Lawson and Worsnop 1992; Woods and Scharmann 2001). Furthermore, the subset of the students who did not expect for their views to change still made shifts toward evolution acceptance. These individuals became both more likely to accept that evolution occurs as scientists claim and more likely to agree that humans and chimpanzees share a common ancestor.

Shifts in the nature of acceptance

The shift in the nature of student attitudes about evolution is promising. Some authors note that rejection of evolution can serve as a barrier to developing knowledge about it (Coburn 1994; Coburn Scharmann 1990). Other research has shown that rejection of evolution does not affect the ability to learn about natural selection (Bishop and Anderson 1990; Demastes et al. 1995; Sinatra et al. 2003). Our research supports this latter group of research. Although significant changes in evolution acceptance were not seen between pre- and post-MATE scores, our study documents students overcoming common misconceptions about common ancestry. For example, students were far more likely (7 out of 10) than the average American citizen (approximately 4 out of 10; Newport 2009; Scott 1997) to claim that there was a common ancestor connecting humans and higher apes.

Factors influencing acceptance

There was no significant gain in students’ overall evolution acceptance and a low correlation between students’ tree thinking understanding and acceptance of evolution. There are several possible reasons for disparaging statistics, including a possible ceiling effect, the nature of conceptual change, psychological factors related to evolution acceptance, or the nature of the TTCI instrument.

One of the reasons we did not see a significant shift in the overall acceptance of the students (as measured by the MATE) may be due to a ceiling effect. Students could have been hesitant to select statements with extreme adjectives (strongly agree/disagree) on the Likert scale (Pollack et al. 1990), creating a ceiling effect by decreasing the number of individuals with high MATE scores.

The lack of change in evolution acceptance scores may also be due to the nature of conceptual change. Conceptual change takes a long time, perhaps years, depending on the concept (Sadler 1998). Furthermore, complete conceptual change is unlikely, as most students do not completely ‘replace’ old ideas with scientific ones (Dole and Sinatra 1998; Ingram and Nelson 2006).

Another reason for our modest results could be psychological factors related to evolution acceptance. These factors include cognitive biases (Evans 20002008; Gelman 2003 Medin and Atran ;2004; Wellman and Gelman 1998), intellectual development barriers (Lawson et al. 2000), dispositional and motivational barriers (Brem et al. 2003; Sinatra et al. 2003), epistemological beliefs (Vosniadou and Brewer 1992), and religious beliefs (Almquist and Cronin 1988; Hokayem and BouJaoude 2008; Sinclair et al. 1997). The purpose of this study was not to investigate these factors; rather, we acknowledge their likely influence on this population and note that these factors likely contributed more to the variance of students’ acceptance of evolution than their tree thinking understanding.

Hypothesizing the influence of instruction

As we do not have student interview data, we cannot claim that the changes in evolutionary acceptance documented in the study are a product of instruction. However, literature suggests that the some of the strategies used in the course can produce conceptual change in students. These include strategies that specifically address misconceptions (Abraham et al. 2009; Bishop and Anderson 1990; Demastes et al. 1996), active learning strategies (Abraham et al. 2009; Nehm and Reilly 2007), and nature of science instruction (Butler 2009; Southerland & Sinatra 2003).

Myth busting

One of the misconception-targeted strategies in the course was a ‘Myth Busters’ session during Units One (Nature of Science) and Four (Evolution). The myth busting sessions presented students with the opportunity to work through known misconceptions about the nature of science, evolution, and phylogenetic trees. This may have been similar to the focus on evolution misconceptions described by Robbins and Roy (2007), who also documented shifts in evolution acceptance with instruction. Our approach was unique in that multiple units of the course were taught with evolution as a foundation, and students may have been less resistant to evolution instruction because of this.

Active learning through a pipe cleaner activity

Another strategy which may have influenced students’ learning was the use of a pipe cleaner manipulative model during Unit Four. This is a direct form of tree thinking instruction as students are actively manipulating colored pipe cleaners as phylogenetic trees; each pipe cleaner represents a different lineage, tied together at nodes and at the root to represent common ancestry. Active learning strategies such as these can help students with the difficult visual conventions of trees and therefore assist them in overcoming misconceptions about evolutionary relatedness among taxa (see Halverson 2010 for information about this pedagogical approach).

Nature of science instruction

A better understanding of nature of science allows students to remove themselves from dualistic (right/wrong) thinking about religion and science to more carefully consider multiple explanations (Southerland and Sinatra 2003). Additionally, teaching nature of science the content is positively correlated with knowledge of natural selection (Butler 2009). Subsequently, the nature of science unit (Unit One) may have had an influence on students’ evolution acceptance and knowledge of phylogenetic trees. Although nature of science was reintroduced in the evolution unit, we consider nature of science instruction separate from our ‘tree thinking’ approach to teaching evolution, and therefore separate its potential influence on factors examined in this study.

Other influences of instruction

It is possible that the design of the course itself may have negatively contributed to the correlations between acceptance and tree thinking and/or contributed to the lack of significant gains in overall evolution acceptance. Without participant interviews, it is difficult to determine if students actively related their knowledge of phylogenetic trees to their personal acceptance of evolution. We therefore reserve judgment in this capacity. Instead, we recommend that future studies take a mixed methods approach to document both the extent of the instructional influence on student outcomes and how and why instruction was influential from the perspective of the students.

Conclusions

This study found that tree thinking instruction may improve evolution acceptance among non-science majors. In this section, we consider specific implications for how these results may influence post-secondary biology instruction and future science education research.

For college biology instructors

We saw significant differences in beliefs about common ancestry after instruction focused on (a) how to interpret phylogenetic trees and (b) how trees depicted common ancestry. These shifts in belief support the inclusion of macroevolutionary concepts in the general education biology course (Catley 2006). We therefore recommend that instructors of general education biology courses consider using phylogenetic trees to introduce evolution, explore evolutionary relationships, and to describe speciation/modification events. This approach should include a focus on misconceptions about evolution (especially common ancestry) and a discussion of the nature of science as related to evolution. As instructors teach students about phylogenetic trees, we also recommend the use of physical models, such as manipulative trees made of pipe cleaners (Halverson 2010), to help students overcome misconceptions about relatedness of taxa.

For future research

Due to the small and quantitative nature of this study, our next step is to expand the dataset to include data from subsequent semesters. Interviews with students should also be included to determine the influence of specific forms of instruction on students’ ideas about phylogenetic trees and evolution acceptance.

A better instrument to measure understanding of phylogenetic trees should be developed. The original development of the TTCI did not include a factor analysis, and so the instrument may be redundant or have subcomponents worth reorganizing. We addressed content validity by using only the portion of the instrument deemed accurate by our two content experts but did not make note of the incorrect use of terms (for example, the paraphyletic term ‘ape’) until after the test had been administered. Although the revised instrument remains imperfect, since the psychometrics were good, the TTCI gives a broad (and the only available measure) for measuring knowledge of phylogenetic trees.

As a side note, we question whether the TTCI assesses content at a level appropriate for non-science majors. It is not surprising that this population performs well below experts, but it forces us to question what tree thinking skills one would expect for scientifically literate individuals (that is, what skills are needed to interpret the phylogenetic trees presented in lay media?). Researchers and instructors should work together to build an appropriate tree thinking diagnostic test by considering the known misconceptions about tree thinking (see Gregory 2008) through the lens of tree thinking literacy for the average educated individual.

Our final consideration for future research relates our work to research in intellectual development and evolution learning (for example, Lawson et al. 2000; Lawson and Thompson 1988; Southerland and Sinatra 20032005; Southerland et al. 2001). Acceptance of evolution as a valid explanation of the natural world requires multiplistic epistemology (Perry 1970) for individuals who are strongly religious (that is, these individuals must have the ability to recognize the validity of multiple viewpoints). Most students enter college with dualistic epistemologies and therefore view the world as right or wrong (Pascarella and Terenzini 2005). Although students usually reach a level of multiplistic epistemology by the time they graduate (Pascarella and Terenzini 2005), general education courses are often completed during freshman and sophomore year. A future step in research would be to investigate evolution acceptance and ability to interpret phylogenetic trees as related to epistemological development among religious students in general education course settings.

Declarations

Authors’ Affiliations

(1)
Western Michigan University
(2)
Department of Biological Sciences

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