Scientific misconceptions
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[edit] Types of scientific misconceptions
In general, scientific misconceptions have their foundations in a few "intuitive knowledge domains, including folkmechanics (object boundaries and movements), folkbiology (biological species configurations and relationships), and folkpsychology (interactive agents and goal-directed behavior)",[1] that enable humans to interact effectively with the world in which they evolved. That these folksciences do not map accurately onto modern scientific theory is not unexpected. A second major source of scientific misconceptions are instruction-induced or didaskalogenic misconceptions.
Misconceptions can be broken down into five basic categories 1) preconceived notions; 2) nonscientific beliefs; 3) conceptual misunderstandings; 4) vernacular misconceptions; and 5) factual misconceptions (e.g., Committee on Undergraduate Science Education, 1997).
While most student misconceptions go unrecognized, there has been an informal effort to identify errors and misconceptions present in textbooks. The Bad Science web page, maintained by Alistair Fraser, is a good resource. Another important resource is the Students' and Teachers' Conceptions and Science Education (STCSE) website maintained by Reinders Duit. Another useful resource related to chemistry has been compiled by Vanessa Barker
[edit] Identifying student misconceptions
In the context of Socratic instruction, student misconceptions are identified and addressed through a process of questioning and listening. A number of strategies have been employed to understand what students are thinking prior, or in response, to instruction. These strategies include various forms of "real type" feedback, which can involve the use of colored cards or electronic survey systems (clickers).[2] Another approach is typified by the strategy known as "Just in Time Teaching".[3][4] Here students are asked various questions prior to class, the instructor uses these responses to adapt his or her teaching to the students' prior knowledge and misconceptions. Finally, there is a more research-intensive approach that involves interviewing students for the purpose of generating the items that will make up a concept inventory. Concept inventories require intensive validation efforts. Perhaps the most influential of these concept inventories to date has been the Force Concept Inventory (FCI).[5] [6] Concept inventories can be particularly helpful in identifying difficult ideas that serve as a barrier to effective instruction.[7] Concept Inventories in natural selection[8][9][10] and basic biology [11] have been developed.
[edit] Addressing student misconceptions
A number of lines of evidence suggest that the recognition and revision of student misconceptions involves active, rather than passive, involvement with the material. A common approach to instruction involves meta-cognition, that is to encourage students to think about their thinking about a particular problem. In part this approach requires students to verbalize, defend and reformulate their understanding. Recognizing the realities of the modern classroom, a number of variations have been introduced. These include Eric Mazur's peer instruction, as well as various tutorials in physics developed groups at University of Washington and the University of Maryland.
[edit] References
- Barker, V. 2004. Beyond appearances : students’ misconceptions about basic chemical ideas. 2nd edition (accessed on-line 9 Sept. 2008:
- Charles, E.S. & S.T. d'Apollonia. 2003. A systems approach to education. PEREA report.
- Hake RR (1998). "Interactive-engagement versus traditional methods: a six-thousand-student survey of mechanics test data for introductory physics courses". Am J Physics 66 (1): 64–74. doi:10.1119/1.18809. http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=AJPIAS000066000001000064000001&idtype=cvips.
- Krebs, Robert E. (1999). Scientific development and misconceptions through the ages: a reference guide. Westport, Conn: Greenwood Press. ISBN 0-313-30226-X.
- Morton JP, Doran DA, Maclaren DP (Jun 2008). "Common student misconceptions in exercise physiology and biochemistry". Adv Physiol Educ 32 (2): 142–6. doi:10.1152/advan.00095.2007. PMID 18539853. http://advan.physiology.org/cgi/content/full/32/2/142.
- Visscher PM, Hill WG, Wray NR (Apr 2008). "Heritability in the genomics era--concepts and misconceptions". Nat Rev Genet. 9 (4): 255–66. doi:10.1038/nrg2322. PMID 18319743.
- How Students Learn. 2005. A National Academy of Sciences Report.
[edit] Footnotes
- ^ Altran S, Norenzayan A (2004). "Religion's evolutionary landscape: Counterintuition, commitment, compassion, communion". Behavioral and Brain Sciences 27 (6): 713–30. doi:10.1017/S0140525X04000172. http://journals.cambridge.org/action/displayAbstract?aid=311512.
- ^ Martyn M (2007). "Clickers in the classroom: an active learning approach". Educause Quarterly 30 (2). http://connect.educause.edu/Library/EDUCAUSE+Quarterly/ClickersintheClassroomAnA/40032.
- ^ Just In Time Teaching [1]
- ^ Rozycki W (1999). "Just-in-Time Teaching". J Indiana University Research & Creative Activity XXII (1): 8. http://www.indiana.edu/~rcapub/v22n1/p08.html.
- ^ Hestenes D, Wells M, Swackhamer G (1992). "Force Concept Inventory". The Physics Teacher 30 (3): 141–58. doi:10.1119/1.2343497. http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=PHTEAH000030000003000141000001&idtype=cvips.
- ^ Hestenes D (1998). "Who needs physics education research". Am J Physics 66: 465–7. doi:10.1119/1.18898. http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=AJPIAS000066000006000465000001&idtype=cvips.
- ^ Garvin-Doxas K, Klymkowsky MW (2008). "Understanding randomness and its impact on student learning: lessons learned from building the Biology Concept Inventory (BCI)". CBE Life Sci Educ 7 (2): 227–33. doi:10.1187/cbe.07-08-0063. PMC 2424310. PMID 18519614. http://www.lifescied.org/cgi/content/full/7/2/227.
- ^ Nehm R & Schonfeld IS (2008). Measuring knowledge of natural selection: A comparison of the C.I.N.S., an open-response instrument, and an oral interview. Journal of Research in Science Teaching, 45, 1131-1160. [2]
- ^ Nehm R & Schonfeld IS (2010). The future of natural selection knowledge measurement: A reply to Anderson et al. (2010). Journal of Research in Science Teaching, 47, 358-362. [3]
- ^ Anderson DL, Fisher KM, Norman GJ (2002). "Development and evaluation of the conceptual inventory of natural selection". J Res Sci Teaching. 39: 952–78. doi:10.1002/tea.10053. http://www3.interscience.wiley.com/journal/100519786/abstract.
- ^ Bioliteracy-BCI [4]