|
|
|||||||
Articles |

*Center for Integrated Plasma Studies and
Molecular, Cellular, and Developmental Biology Department, University of Colorado, Boulder, CO 80309
Submitted August 23, 2007; Revised January 14, 2008; Accepted February 7, 2008
Monitoring Editor: Bruce Alberts
| ABSTRACT |
|---|
|
|
|---|
| INTRODUCTION |
|---|
|
|
|---|
One response of at least a sector of the STEM education community has been increased efforts on replacing the more traditional emphasis on rote-level learning with the goal of enhancing students' conceptual-level understanding (Brainard, 2007). In the physics education research community, assessment instruments designed, researched, and validated as measures of student understanding at the conceptual level, often known as concept inventories, have played an enormous role in catalyzing the development, implementation, and increased adoption of constructivist teaching approaches. The FCI (Hestenes et al., 1992; Hestenes and Halloun, 1995), the most widely used instrument, was designed to measure students' conceptual understanding of Newton's laws of motion (a staple of most first-semester physics courses) and, as a result, has also been the most influential. More recently, the FCI has been joined by the Force and Motion Concept Evaluation (FMCE; Thornton and Sokoloff, 1998), which covers similar ideas, and the Brief Electricity and Magnetism Assessment (BEMA; Ding et al., 2006), which deals with concepts common to many second-semester physics courses.
In the biological sciences there has been an increased awareness of the need for similar assessments as a means to drive improved teaching and enhanced students' understanding of key ideas (Klymkowsky et al., 2003; Garvin-Doxas et al., 2007a). This has been associated with faculty development in both the general sense as well as in particular subdisciplines, for example the Ecological Society of America supports Teaching Issues and Experiments in Ecology (http://tiee.ecoed.net/), an online journal of "ecological educational methods," while the American Society for Cell Biology sponsors the journal CBE—Life Sciences Education (www.lifescied.org). The BCI is an attempt at developing a class of instruments that can probe at the conceptual level the wide range of biology subjects covered in introductory undergraduate (and many high school) courses.
| BCI DEVELOPMENT |
|---|
|
|
|---|
Our approach has been to map student understanding using a series of open-ended questions on a wide range of topics in the biological sciences. These student responses are typically 100 to 200 words long and are captured and analyzed using our Ed's Tools Web software system (Klymkowsky and Garvin-Doxas, 2008; Garvin-Doxas et al., 2007b). Responses are examined using content analysis, a technique designed to identify patterns in text-based data that range from the use of vocabulary words to recurring phrases and the meaning of the words (Holsti, 1969; Stemler, 2001). Whereas content analytical techniques sometimes use a priori categories, for the BCI project we began with categories based on recurring patterns found in students' discourse. Consistent with this type of qualitative content analytical technique, the first coding round used very detailed categories whereas each succeeding round used increasingly broader category/pattern "names" or labels to subsume similar and related early phrases, meaning(s), and ideas found in the students' responses. In this way, we were able to identify not only how students talk about their understanding of biology, but those areas where they hold common misconceptions and others where students appear to have a consistent and valid conceptual understanding. The process as a whole is iterative, and the analysis of student essays is followed by thematic and structured think-aloud interviews with students, further essay questions, and analysis. The process was repeated until an instrument was developed that looks like a multiple-choice "test" but with distracters that capture commonly held student misconceptions, based on the essay and interview data.
As most instructors quickly realize, students often fail to take the time to understand what an open-ended question is asking. Rather, they see key words or topics they recognize, and respond by listing everything they know about them. This type of behavior, where students provide the sort of "rote" responses they believe their STEM teachers desire and expect, is based on their assumption that answers in STEM fields are unambiguous, that is, there is only a single correct response to any given question and anything else is simply wrong. In the context of the BCI Project, we characterize this behavior as students restricting themselves to the "rhetoric" of science. We mean this in the Aristotelian sense, that is, where they know and believe that they understand their audience—the teacher or grader—and seek to provide an answer that they believe will appeal to that audience. They seek to use the appropriate words to persuade their audience that they have provided a good response to their question (Aristotle, 1991). Although it is frustrating to read essays where students fail to respond to the actual question, it has been critical to the development of the BCI in two ways:
| ASPECTS OF STUDENT UNDERSTANDING: NATURAL SELECTION AND EVOLUTION |
|---|
|
|
|---|
Student responses to three different essay questions during our first round of data collection were collected and analyzed through our online Ed's Tools system, a java-based system designed to create a database of metatagged student language (described in more detail in Klymkowsky and Garvin-Doxas, 2008 and Garvin-Doxas et al., 2008b). These responses indicated that most students experience some sort of challenge when it comes to conceptual-level understanding of evolutionary processes. None of the three questions used focused directly on natural selection, but rather examined their understanding of evolutionary processes in a general way. We note that most introductory-level courses do not focus on natural selection, and many do not explicitly cover evolutionary processes at all. Unfortunately, the precise nature of students' difficulties were unclear in terms of their responses to the essay questions. What could be concluded was that students often write about evolutionary processes in contradictory ways and that there were several patterns among their responses. This indicated that we needed to conduct thematic interviews on the subject to discover whether or not this was an area that needed to be explored further in the context of introductory courses in the biological sciences (often the only courses future K–12 science teachers take). Through these thematic think-aloud interviews we sought to discover more about the meaning of the language students used to discuss their understanding of evolutionary processes. In addition, we included an open-ended question that asked students to explain more about natural selection, how it works, and its relationship to evolution. A total of 28 thematic student interviews were conducted on this and related topics.
The interviewer (KGD) is a social scientist, rather than a biologist, a point she made explicit to all interviewees. To reinforce the impression that she was not an "expert" in the biological sciences, and so unlikely to be judgmental, she often asked clarifying questions about simple biological terms and processes; and, as interviews progressed, her questions were placed in the context of ideas she had read or heard about from someone else. This strategy leads to increased student comfort during the interview process and ensures, as much as possible, that students feel free to talk, expand, and discuss.
Questions in thematic interviews are not structured and vary from interview to interview, in response to the relationship and communication patterns that develop between the interviewer and student. In general the questions used took a format similar to: "I was reading something in an essay the other day and it made me wonder more about natural selection. I'm confused about how that relates to evolution [or bottlenecks; or genetic drift; etc]. Would you explain a little more about that to me?" The point of this question format is to provide a context for the student to speak openly during the interviews without worrying about being judged, or whether they are or are not correct. Listening to a student explaining ideas in a relaxed, face-to-face setting is one of the most effective means for coming to an understanding of what is "inside" students' heads, what they really mean when they select a particular distracter, how they interpret questions, etc.
Analysis of the essay response and interview data focused on determining whether or not a particular topic was an area that should be addressed in the BCI. In the specific area of evolutionary processes, it also provided hints on how to best discover (on a broader scale than interviews allow) students' fundamental, introductory-level misconceptions. Our first-round essay and interview data confirmed that most students confounded natural selection and evolution; they were able to define each, but unable to explain the relationship between them in terms of differences—they assume that random events lead to natural selection and that natural selection is equal to evolution. Some were able to define bottlenecks and genetic drift correctly, but many could only say, "we covered that [in high school], but I don't really know what they are." I think they're ... "; those who were more familiar with the terminology could still not accurately explain the relationship between natural selection and phenomena such as bottlenecks and genetic drift. In other words, they clearly believed that these random phenomena were related to evolution because they cause natural selection and natural selection equals evolution—they see all evolution as a product of natural selection alone. If a direct, fact-based question was posed, students could usually respond correctly. If a different type of question, one asking students to combine ideas or consider relationships, was posed, even more advanced students experienced a great deal of difficulty—particularly with regard to evolution and natural selection.
This process enabled us to better understand students' conceptual beliefs, but we quickly realized that we required additional data. We used our first-round observations to design new questions focused on this conceptual area and we attempted to explore student understanding of the idea of randomness. Analysis of their responses to the questions, combined with structured, think-aloud interviews convinced us to pursue this topic further. We therefore designed and administered additional essay questions.
Student Examples
Random events and evolution (Note, the responses have been corrected for spelling but not grammar).
"Random events have had and will have an enormous impact on the evolution of life on this planet. For instance, the meteor impact that is generally accepted to have wiped out the dinosaurs 65 million years ago changed evolution. At the time, small mammals would have been prey to dinosaurs, but after the dinosaurs were wiped out the mammals were able to evolve into many of the species, including ourselves, that roam the earth today. Another example are the ice ages. One particular one that happened around 115,000 years ago created severe drought in Africa. Only a small number of early humans—homo—were able to survive. In theory, these were the most intelligent ones which eventually developed in to modern humans—Homo sapiens sapiens.""Three random events that will contribute to evolutionary processes are natural selection, speciation, and genetic drift. Natural selection is a concept proposed by Darwin that states that organisms that have best adapted to their environment will survive. This will eventually wipe out the ones that have not adapted eventually leaving toward the evolution of those who have learn to adapt. Speciation is evolution brought upon by a change in biological processes that will prevent a species that was once the same from mating with each other, thus creating a new species. Genetic drift is when a species experience massive die-off and then reproduces in large numbers with one gene being dominant. All three of these random events help to contribute to the evolutionary process."
"Random events are very important to evolutionary processes because they introduce variation. An extreme trait of an organism can suddenly become favored, which leads to directional or disruptive selection. Random events can lead to immigration, emigration, mass extinction, the loss of a food source, the gain of a food source, a new environment, a new system of weather, and many more changes. These environmental changes can lead to genetic changes in sexual activity, metabolism, food gathering or hunting techniques, schedules, body parts, or other new variations. The governing rule in such a scenario is natural selection. Natural selection is most evident in times of random change."
"Random events is what helps evolution take place among the species, plants and other living things on earth. Random events incur evolution because it throws in or takes out things in a environment that may kill off most of the species but yet helps advance the species to be able to grow in the new environment. Also events like isolation can help evolution, like if one species is separated in two, the two group will evolve differently making two new species out of one. This is the role of random events in evolutionary processes."
"The role of random events in evolutionary processes is to make way for natural selection and adaptation. For when a random event occurs which can be drastic as in a climate change, only those organisms that are better fit for the environment can survive and therefore pass on their traits. Or the organisms may have a chance to adapt which may lead them having to evolving in order to survive better."
| PIECES OF STUDENT UNDERSTANDING: DIFFUSION |
|---|
|
|
|---|
Student Examples – Diffusion
"Diffusion is simple transport of material into and out of the cell. More specifically, diffusion is accomplished through the plasma membrane by very small, normally uncharged molecules such as water. Ions and other larger molecules require channels or pumps to cross the membrane and are thus not defined as diffusion. Such nondiffused materials are selectively allowed into the cell, namely, for safety reasons. Foreign substances cannot diffuse across the membrane and the cell's integrity is maintained. Similarly, the cell requires a balance of some materials in and out of the cell to prevent an overexertion of charge and material gradients that can damage the cell or cause it to explode/implode. Water diffusion is one such balance that is necessary.""Diffusion is where a small molecule, or uncharged molecule can passively pass through a barrier. When talking about cells, the barrier is usually a membrane such as the plasma membrane. Small, uncharged molecules such as O2, or CO2 can easily pass through a membrane that is permeable to those substances. This passive transport does not require energy, ATP, from the cell. Because this transport does not require energy from the cell, this transport happens often, and the ATP from the cell can be used to transport other substances and molecules into the cell, such as channels that allow ions to pass through."
"I am not quiet sure what diffusion exactly is, although I have heard of it before. Diffusion is when certain proteins or needed supplements transfer across a surface. For example diffusion in cells is the ability to transfer water and proteins across the lipid bilayer. Diffusion is needed in order for the cell to survive. If the cell did not diffuse it would have no source of energy and therefore it would die. Diffusion is important. Or, diffusion is the process of when certain parts of the cell split.
"Diffusion is the movement of particles/ions/molecules into and out of a cell and its membrane. Osmosis is known as the diffusion of water. As stated earlier many things can diffuse into and out of a cell. What usually drives diffusion is the concentration gradient (or the difference in concentration of certain particles/molecules from inside vs. outside the cell). For instance if there is a higher solute concentration inside the cell and a lower solute concentration outside the cell; the solute will diffuse out of the cell from the area of higher concentration to the area of lower concentration. The same is true for a solvent; if more of a solvent is inside the cell than out the solvent will move from the area of higher concentration to lower concentration."
"The process of diffusion is a spontaneous action. It is the mixing of particles, liquids, anything that can be mixed really. This occurs because of a random event due to thermal motion. In terms of tissue, the process of diffusion is in no way limited to a certain place or location. Rather, it can occur in a multitude of places and spread widely. It does occur, as previously mentioned, as a result of random thermal motion. Molecules are in continuous motion and this gives rise to eventual spreading of that one particular molecule. Therefore, as long as molecules are in this same continuous motion, diffusion will continue to take place in each situation."
The last response was one of the very few responses that acknowledged the role of random molecular motion. The majority (> 95% of approximately 100) of responses are typified by the other examples, where diffusion is viewed as directional movement that takes place only when some kind of gradient exists. There is no apparent appreciation displayed that random processes can give rise to emergent behavior, such as net directional movement of molecules. During interviews, both structured and unstructured, this picture was reinforced. When asked directly a question about diffusion, students could tell us that it was random—a rote response. However, when they were asked questions about a particular process that involved diffusion, they were unable to tell us that the underlying process was random. So, when given an example, the idea of random disappeared from their understanding of diffusion.
Essay responses to this question were consistent with some of the ways in which students characterized mutations (particularly during interviews), in the sense that one thing they tend to fail to mention about mutations is that they occur all the time, and randomly. In both cases, while students were busy explaining about, and listing characteristics of, diffusion and mutation, they consistently failed to include that either held any random component. It was not so much a matter of what they did say, but about what they consistently left out.
| STUDENT UNDERSTANDING AND EVOLUTIONARY PROCESSES |
|---|
|
|
|---|
Eventually, we came to three conclusions:
| RESPONSE TO TEACHING |
|---|
|
|
|---|
|
| CONCLUSIONS |
|---|
|
|
|---|
| ACKNOWLEDGMENTS |
|---|
| FOOTNOTES |
|---|
| REFERENCES |
|---|
|
|
|---|
Aristotle (1991). On Rhetoric: A Theory of Civic Discourse, New York: Oxford University Press.
Brainard, J. (2007). The tough road to better science teaching. Chron. High. Educ. 53, A16.
Brockhurst, M. A. (2007). Population bottlenecks promote cooperation in bacterial biofilms. PLoS ONE 2, e634.[CrossRef]
Commission for Higher Education (2006). A Test of Leadership: Charting the Future of U.S. Higher Education, Washington, DC: U.S. Department of Education.
Ding, L., Chabay, R., Sherwood, B., and Beichner, R. (2006). Evaluating an electricity and magnetism assessment tool. Phys. Rev. ST Phys. Educ. Res. 2, 010105.
Garvin-Doxas, K., Klymkowsky, M. W., and Elrod, S. (2007a). Building, using, and maximizing the impact of concept inventories in the biology education: a meeting report. CBE Life Sci. Educ. 6, 277–282.
Garvin-Doxas, K., Doxas, I., and Klymkowsky, M. W. (2007b). Ed's Tools: a web-based software toolset for accelerated concept inventory construction. Proceedings of the National STEM Assessment of Student Achievement Conference, 2006, October 19–21.
Hake, R. R. (1998). Interactive-engagement versus traditional methods: a six-thousand-student survey of mechanics test data for introductory physics courses. Am. J. Physics 66, 64–74.[CrossRef]
Hestenes, D., and Halloun, I. (1995). Interpreting the FCI. Physics Teacher 33, 502–506.[CrossRef]
Hestenes, D., Wells, M., and Swackhamer, G. (1992). Force concept inventory. Physics Teacher 30, 141–166.[CrossRef]
Holsti, O. R (1969). Content Analysis for the Social Sciences and Humanities, Reading, MA: Addison-Wesley.
Klymkowsky, M. W. (2007). Teaching without a textbook: a strategy to focus learning. CBE Life Sci. Educ. 6, 190–193.
Klymkowsky, M. W., and Garvin-Doxas, K. (2008). Recognizing student misconceptions through Ed's Tools and the Biology Concept Inventory. PLoS Biology 6(1), e3.[CrossRef][Medline]
Klymkowsky, M. W., Garvin-Doxas, K., and Zeilik, M. (2003). Bioliteracy and teaching efficacy: what biologists can learn from physicists. Cell Biol. Educ. 2, 155–161.[CrossRef][Medline]
Lander, A. D. (2007). Morpheus unbound: reimagining the morphogen gradient. Cell 128, 245–256.[CrossRef][Medline]
Lynch, M. (2006). The origins of eukaryotic gene structure. Mol. Biol. Evol. 23, 450–468.
Lynch, M. (2007). The frailty of adaptive hypotheses for the origins of organismal complexity. Proc. Natl. Acad Sci. USA 104, 8597–8604.
Lynch, M., and Conery, J. S. (2003). The origins of genome complexity. Science 302, 1401–1404.
2006). Educators slam federal standardization plans for higher. The New Standard. http://newstandardnews.net/content/index.cfm/items/3721 (accessed 6 March 2008).
Meir, E, Perry, J., Stal, D., Maruca, S., and Klopfer, E. (2005). How effective are simulated molecular-level experiments for teaching diffusion and osmosis? Cell Biol. Educ. 4, 235–248.[CrossRef][Medline]
Odom, A. (1995). Secondary & college biology students' misconceptions about diffusion & osmosis. Am. Biol. Teacher 57, 409–415.
Odom, A. L., and Barrow, L. H. (1995). Development and application of a two-tier diagnostic test measuring college biology students' understanding of diffusion and osmosis after a course of instruction. J. Res. Sci. Teaching 32, 45–61.[CrossRef]
National Association of State Universities and Land Grant Colleges (2006). Improving student learning in higher education through better accountability and assessment. www.voluntarysystem.org/index.cfm?page=background (accesed 18 March 2008).
Solomon, R., and Solomon, J. (1993). Up the University: Re-creating Higher Education in America, Reading, MA: Addison-Wesley.
Stemler, S. (2001). An overview of content analysis. Practical Assessment, Research & Evaluation. 7(17). http://PAREonline.net/getvn.asp?v=7&n=1 (accessed 31 December 2007).
Taleb, N. N. (2005). Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets, New York, NY: Random House.
Thornton, R. K., and Sokoloff, D. R. (1998). Assessing student learning of Newton's laws: the force and motion conceptual evaluation and evaluation of active learning laboratory and lecture curricula. Amer J. Physics 66, 338–352.[CrossRef]
Yi, S. V. (2006). Non-adaptive evolution of genome complexity. Bioessays 28, 979–982.[CrossRef][Medline]
| ||||||||||||||||||||||||||||||||||||||||||||||||||||
| HOME | HELP | FEEDBACK | ARCHIVE | SEARCH | TABLE OF CONTENTS |