Identification of students' content mastery and cognitive and affective percepts of a bioinformatics miniunit: A case study with recommendations for teacher education

Journal of Science Teacher Education

Volumn 19, Issue 4, 2008, Pages 355-373

  Wefer, Stephen H ^a   Anderson, O Roger ^b  

^a Sachem East High School   (United States)

^b Howard Hughes Medical Institute   (United States)

Author keywords

Bioinformatics; Case study; Constructivism; Genetics

Indexed keywords

EID: 48349087197     PISSN: 1046560X     EISSN: 15731847     Source Type: Journal    
DOI: 10.1007/s10972-008-9099-2     Document Type: Article

References (39)

1. Altschul, S. F., Gish, W., Miller, W., Meyers, E. W., & Lipman, D. J. (1990). Basic linear alignment search tool. Journal of Molecular Biology, 215, 403-410.
2. Anderson, O. R., & Demetrius, O. (1993). A flow map analysis of cognitive structure in science content. Journal of Research in Science Teaching, 30, 953-969.
3. Anderson, O. R., Randle, D., & Covotsos, T. (2001). The role of ideational networks in laboratory inquiry learning and knowledge of evolution among seventh-grade students. Science Education, 85, 410-425.
4. Ausubel, D. P., Novak, J. D., & Hanesian, H. (1978). Educational psychology: A cognitive view. New York: Holt, Rinehart & Winston.
5. Biology Student Workbench. (2003). Retrieved May 18, 2005, from http://peptide.ncsa.uiuc.edu/.
6. Bischoff, P. J., & Anderson, O. R. (2001). Development of knowledge frameworks and higher order cognitive operations among secondary school students who studied a unit on ecology. Journal of Biological Education, 35, 81-88.
7. Bloom, B. S. (1956). Taxonomy of educational objectives, handbook I: The cognitive domain. New York: David McKay.
8. Bruner, J. (1990). Acts of meaning. Cambridge, MA: Harvard University Press.
9. Bybee, R. W. (1986). Science, technology, society: 1985 Yearbook of the National Science Teachers Association. Washington, DC: National Science Teachers Association.
10. Cochran-Smith, M., & Lytle, S. L. (1993). Inside/outside: Teacher research and knowledge. New York: Teachers College Press.
11. Cognition and Technology Group at Vanderbilt. (1990). Anchored instruction and its relationship to situated cognition. Educational Researcher, 16(6), 2-10.
12. Cognition and Technology Group at Vanderbilt. (1993). Anchored instruction and situated cognition revisited. Educational Technology, 33(1), 52-70.
13. Counsell, D. (2003). A review of bioinformatics education in the UK. Briefings in Bioinformatics, 4(1), 7-21.
14. Dictionary of Genetic Terms. (2006). Oakridge National Laboratory Web site: Retrieved January 14, 2006, from http://www.ornl.gov/sci/techresources/ Humangenome/publicat/primer2001/glossary.shtml.
15. Dolan Learning Center Cold Spring Harbor Laboratory. (2003). Retrieved November 22, 2005, from http://www.dnalc.org.
16. Donmoyer, R. (1990). Generalizability and the single-case study. In E. Eisner & A. Peshkin (Eds.), Qualitative inquiry in education: The continuing debate (pp. 175-200). New York: Teachers College Press.
17. Duschl, R. A. (1990). Restructuring science education: The importance of theories and their development. New York: Teachers College Press.
18. Gabric, K. M. (2003). Bioinformatics in the biology classroom. Retrieved December 14, 2005, from http://www.actionbioscience.org/education/gabric.html.
19. Gagne, R. M., Briggs, L. J., & Wager, W. W. (1992). Principles of instructional design (4th ed.). Fort Worth, TX: Harcourt, Brace, Jovanovich College Publishers.
20. International Human Genome Sequencing Consortium. (2004). Finishing the euchromatic sequence of the human genome. Nature, 431(7011), 931-945.
21. Jonassen, D. (1999). Designing constructivist learning environments. In C. M. Reigeluth (Ed.), Instructional designs, theories, and models (Vol. 2, pp. 215-239). Mahwah, NJ: Erlbaum.
22. Kossida, S., Tahri, N., & Daizadeh, I. (2002). Bioinformatics by example: From sequence to target. Journal of Chemical Education, 79, 1480-1485.
23. Lawson, A. E. M., McElrath, C. B., Burton, M. S., James, B. D., Doyle, R. P., Woodward, S. L., et al. (1991). Hypothetico-deductive reasoning skill and concept acquisition: Testing a constructivist hypothesis. Journal of Research in Science Teaching, 28, 953-970.
24. Lowery, M. S., & Plesniak, L. A. (2003). Some like it cold: A computer-based laboratory introduction to sequence and tertiary structure comparison of cold-adapted lactate dehydrogenases using bioinformatics tools. Journal of Chemical Education, 80, 1300-1302.
25. Maier, C. A. (2001). Building phylogenetic trees from DNA sequence data: Investigating polar bear and giant panda ancestry. The American Biology Teacher, 63, 642-646.
26. Merrienboer, J. (1997). Training complex cognitive skills: A four-component instructional design model for technical training. Englewood Cliffs, NJ: Educational Technology Publications.
27. National Center for Biotechnology Information. (2006). NCBI Education. Retrieved January 2, 2006, from http://www.ncbi.nlm.nih.gov/Education/.
28. New York State District Report Card Comprehensive Information Report. (2004). Retrieved April 4, 2006, from http://www.emsc.nysed.gov/repcrd2004/.
29. Novak, J. D. (1990). Concept mapping: A useful tool for science education. Journal of Research in Science Teaching, 10, 937-947.
30. Novak, J. D. (2002). Meaningful learning: The essential factor for conceptual change in limited or inappropriate propositional hierarchies (LIPHs) leading to empowerment of learners. Science Education, 86, 548-571.
31. Patton, M. Q. (1990). Qualitative evaluation and research methods (2nd ed.). Newbury Park, CA: Sage.
32. Pious, S. (2005). Research randomizer. Retrieved April 7, 2006, from http://www.socialpsychology.org.
33. Smith, T. M., & Emmeluth, D. S. (2002). Introducing bioinformatics into the biology curriculum: Exploring the national center for biotechnology information. The American Biology Teacher, 64, 93-99.
34. Tsai, C.-C., & Huang, C.-M. (2002). Exploring students' cognitive structures in learning science: A review of relevant methods. Journal of Biological Education, 36, 163-169.
35. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press.
36. Wefer, S. H. (2003). Name that gene: An authentic classroom activity incorporating bioinformatics. The American Biology Teacher, 65, 610-613.
37. West L. H. T., & Pines A. L. (Eds.). (1985). Cognitive structure and conceptual change. Orlando, FL: Academic Press.
38. Zeidler, D. L. (2001). Participating in program development: Standard F. In D. S. W. McIntosh (Ed.), College pathways to the science education standards (pp. 18-22). Arlington, VA: National Science Teachers Association Press.
39. Zeidler, D. L., Sadler, T. D., & Simmons, M. L. (2005). Beyond STS: A research-based framework for socioscientific issues education. Science Education, 89, 357-377.