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Journal of Science Education and Technology

, Volume 21, Issue 4, pp 465–475 | Cite as

A Conceptual Framework for Organizing Active Learning Experiences in Biology Instruction

  • Joel Gardner
  • Brian R. Belland
Article

Abstract

Introductory biology courses form a cornerstone of undergraduate instruction. However, the predominantly used lecture approach fails to produce higher-order biology learning. Research shows that active learning strategies can increase student learning, yet few biology instructors use all identified active learning strategies. In this paper, we present a framework to design biology instruction that incorporates all active learning strategies. We review active learning research in undergraduate biology courses, present a framework for organizing active learning strategies, and provide clear implications and future research for designing instruction in introductory undergraduate biology courses.

Keywords

Introductory biology Active learning First principles of instruction Educational technology 

References

  1. Allen D, Tanner K (2003) Approaches to cell biology teaching: learning content in context–problem-based learning. Life Sci Educ 2(2):73CrossRefGoogle Scholar
  2. Alters BJ, Nelson CE (2002) Perspective: teaching evolution in higher education. Evolution 56(10):1891–1901Google Scholar
  3. American Association for the Advancement of Science (2009) Vision and change in undergraduate biology: a view for the 21st century. Accessed 8/31/2101 at www.visionandchange.org
  4. Anderson RC (1984) Reflections on the acquisition of knowledge. Educ Res 13(9):5–10Google Scholar
  5. Anderson LW, Krathwohl DR, Airasian PW, Samuel B (2001) A taxonomy for learning, teaching, and assessing: a revision of Bloom’s taxonomy of educational objectives. Longman, New YorkGoogle Scholar
  6. Andre T (1997) Selected microinstructional methods to facilitate knowledge construction: Implications for instructional design. In: Tennyson RD, Schott F, Seel N, Dijkstra S (eds) Instructional design: international perspective: theory, research, and models, vol 1. Lawrence Erlbaum Associates, Mahwah, pp 243–267Google Scholar
  7. Armbruster P, Patel M, Johnson E, Weiss M (2009) Active learning and student-centered pedagogy improve student attitudes and performance in introductory biology. CBE Life Sci Educ 8(3):203CrossRefGoogle Scholar
  8. Bailey JM, Slater TF (2005) Finding the forest amid the trees: tools for evaluating astronomy education and public outreach projects. Astron Educ Rev 3(2):47CrossRefGoogle Scholar
  9. Brewer CA (2004) Near real-time assessment of student learning and understanding in biology courses. Bioscience 54(11):1034–1039CrossRefGoogle Scholar
  10. Bybee R, McCrae B, Laurie R (2009) PISA 2006: an assessment of scientific literacy. J Res Sci Teach 46(8):865–883CrossRefGoogle Scholar
  11. Chinn CA, Malhotra BA (2002) Epistemologically authentic inquiry in schools: a theoretical framework for evaluating inquiry tasks. Sci Educ 86(2):175–218CrossRefGoogle Scholar
  12. Clark R, Mayer R (2008) E-learning and the science of instruction: proven guidelines for consumers and designers of multimedia learning, 2nd edn. Pfeiffer, San FranciscoGoogle Scholar
  13. Collins A, Brown JS, Holum A (1991) Cognitive apprenticeship: making thinking visible. Am Educator 15(3):6–11Google Scholar
  14. Crowe A, Dirks C, Wenderoth MP (2008) Biology in bloom: implementing Bloom’s taxonomy to enhance student learning in biology. Life Sci Educ 7(4):368CrossRefGoogle Scholar
  15. Dekkers PJJM, Thijs GD (1998) Making productive use of students’ initial conceptions in developing the concept of force. Sci Educ 82(1):31–51CrossRefGoogle Scholar
  16. DiCarlo SE (2006) Cell biology should be taught as science is practised. Nat Rev Mol Cell Biol 7(4):290–295CrossRefGoogle Scholar
  17. Dochy F, Segers M, Van den Bossche P, Gijbels D (2003) Effects of problem-based learning: a metaanalysis. Learn Instruct 13:533–568CrossRefGoogle Scholar
  18. Dori YJ, Belcher J (2005) How does technology-enabled active learning affect undergraduate students’ understanding of electromagnetism concepts? J Learn Sci 14(2):243–279CrossRefGoogle Scholar
  19. Duffy TM, Cunningham DJ (1996) Constructivism: implications for the design and delivery of instruction. In: Jonassen DH (ed) Handbook of research for educational communications and technology. MacMillan Library Reference, New York, pp 170–198Google Scholar
  20. Duschl R (2008) Science education in three-part harmony: balancing conceptual, epistemic, and social learning goals. Rev Res Educ 32:268–291CrossRefGoogle Scholar
  21. Ebert-May D, Brewer C, Allred S (1997) Innovation in large lectures: teaching for active learning. Bioscience 47(9):601–607CrossRefGoogle Scholar
  22. Eisenhart M, Finkel E, Marion SF (1996) Creating the conditions for scientific literacy: a re-examination. Am Educ Res J 33(2):261–295Google Scholar
  23. Fortus D, Krajcik J, Dershimer RC, Marx RW, Mamlok-Naaman R (2005) Design-based science and real-world problem solving. Int J Sci Educ 27(7):855–879CrossRefGoogle Scholar
  24. Francom G, Bybee D, Wolfersberger M, Merrill MD (2009) Biology 100: a task-centered, peer-interactive redesign. TechTrends 53(3):85–100Google Scholar
  25. Freeman S, O’Connor E, Parks JW, Cunningham M, Hurley D, Haak D et al (2007) Prescribed active learning increases performance in introductory biology. CBE Life Sci Educ 6(2):132CrossRefGoogle Scholar
  26. Frick T, Chadha R, Watson C, Wang Y, Green P (2009) College student perceptions of teaching and learning quality. Educ Technol Res Dev 57(5):705–720CrossRefGoogle Scholar
  27. Gagné RM (1968) Contributions of learning to human development. Psychol Rev 75(3):177–191CrossRefGoogle Scholar
  28. Gagné RM (1985) The conditions of learning and theory of instruction, 4th edn. Holt, Rinehart and Winston, New YorkGoogle Scholar
  29. Gardner (2011) Testing the efficacy of Merrill’s first principles of instruction in improving understanding in introductory undergraduate biology courses. Unpublished Doctoral Dissertation, Utah State UniversityGoogle Scholar
  30. Griffith BE, Benson GD (1994) Scientific thought as dogmatism. Int J Sci Educ 16(6):625–637CrossRefGoogle Scholar
  31. Hannafin MJ, Hannafin KM, Land SM, Oliver K (1997) Grounded practice and the design of constructivist learning environments. Educ Technol Res Dev 45(3):101–117CrossRefGoogle Scholar
  32. Hmelo-Silver CE (2004) Problem-based learning: what and how do students learn? Educ Psychol Rev 16(3):235–266CrossRefGoogle Scholar
  33. Hung W (2006) The 3C3R model: a conceptual framework for designing problems in PBL. Interdiscip J Probl Based Learn 1(1):55–77Google Scholar
  34. Hurd PD (1998) Scientific literacy: new minds for a new world. Sci Educ 82(3):407–416CrossRefGoogle Scholar
  35. Jonassen DH (1997) Instructional design model for well-structured and ill-structured problem-solving learning outcomes. Educ Technol Res Dev 45(1):65–95CrossRefGoogle Scholar
  36. Jonassen DH (1999) Designing constructivist learning environments. In: Reigeluth CM (ed) Instructional-design theories and models: a new paradigm of instructional theory, vol 2. Lawrence Erlbaum Associates, Inc, Mahwah, pp 215–239Google Scholar
  37. Jonassen DH (2000) Toward a design theory of problem solving. Educ Technol Res Dev 48(4):63–85CrossRefGoogle Scholar
  38. Keller JM (1987) Development and use of the ARCS model of instructional design. J Instr Dev 10(3):2–10CrossRefGoogle Scholar
  39. Kiboss JK, Ndirangu M, Wekesa EW (2004) Effectiveness of a computer-mediated simulations program in school biology on pupils’ learning outcomes in cell theory. J Sci Educ Technol 13(2):207–213CrossRefGoogle Scholar
  40. Klymkowski M, Garvin-Doxas K, Zeilik M (2003) Bioliteracy and teaching efficacy: what biologists can learn from physicists. Cell Biol Educ 2:155–161CrossRefGoogle Scholar
  41. Kolodner JL (1997) Educational implications of analogy: a view from case-based reasoning. Am Psychol 52(1):57–66CrossRefGoogle Scholar
  42. Kuhn D (2005) Education for thinking. Harvard University Press, CambridgeGoogle Scholar
  43. Labov JB, Reid AH, Yamamoto KR (2010) Integrated biology and undergraduate science education: a new biology education for the twenty-first century? CBE—Life Sci Educ 9(1):10–16Google Scholar
  44. Lapadat JC (2000) Construction of science knowledge: scaffolding conceptual change through discourse. J Classr Interact 35(2):1–14Google Scholar
  45. Marks HM (2000) Student engagement in instructional activity: patterns in the elementary, middle, and high school years. Am Educ Res J 37:153–184Google Scholar
  46. Marzano RJ, Pickering DJ, Pollock JE (2001) Classroom instruction that works: research-based strategies for increasing student achievement. Association for Supervision and Curriculum Development, AlexandriaGoogle Scholar
  47. Mayer RH (1999) Designing instruction for constructivist learning. In: Reigeluth CM (ed) Instructional-design theories and models: A new paradigm of instructional theory, vol 2. Lawrence Erlbaum Associates, Inc, Mahwah, pp 141–159Google Scholar
  48. Mendenhall AB, Caixia W, Suhaka M, Mills G (2006) A task-centered approach to entrepreneurship. TechTrends 50(4):84–89CrossRefGoogle Scholar
  49. Merrill MD (2002) First principles of instruction. Educ Technol Res Dev 50(3):43–59CrossRefGoogle Scholar
  50. Merrill MD (2006) First principles of instruction: a synthesis. In: Reiser RA, Dempsey JV (eds) Trends and issues in instructional design and technology, vol 2. Merrill/Prentice Hall, Upper Saddle River, pp 62–71Google Scholar
  51. Merrill MD (2007) A task-centered instructional strategy. J Res Technol Educ 40(1):5–22Google Scholar
  52. Merrill MD (2009) First principles of instruction. In: Reigeluth C, Carr-Chellman A (eds) Instructional-design theories and models, volume III: building a common knowledge base. Routledge, New York, pp 41–56Google Scholar
  53. Mervis J (2009) Universities begin to rethink first-year biology courses. Science 325:527CrossRefGoogle Scholar
  54. Michael J (2006) Where’s the evidence that active learning works? Adv Physiol Educ 30(4):159Google Scholar
  55. Nastase AJ, Scharmann LC (1991) Nonmajors’ biology: enhanced curricular considerations. Am Biol Teach 53(1):31–36Google Scholar
  56. Nelson CE (2008) Teaching evolution (and all of biology) more effectively: strategies for engagement, critical reasoning, and confronting misconceptions. Integr Comp Biol 48(2):213CrossRefGoogle Scholar
  57. Omer S, Hickson G, Taché S, Blind R, Masters S, Loeser H et al (2008) Applying innovative educational principles when classes grow and resources are limited. Biochem Mol Biol Educ 36(6):387–394CrossRefGoogle Scholar
  58. Osborne J (2010) Arguing to learn in science: the role of collaborative, critical discourse. Science 328:463–466CrossRefGoogle Scholar
  59. Perkins DN, Unger C (1999) Teaching and learning for understanding. In: Reigeluth CM (ed) Instructional-design theories and models: a new paradigm of instructional theory, vol 2. Erlbaum, Mahwah, NJ, pp 91–114Google Scholar
  60. Reuter JG, Perrin NA (1999) Using a simulation to teach food web dynamics. Am Biol Teach 61(2):116–123Google Scholar
  61. Riffell S, Sibley D (2005) Using web-based instruction to improve large undergraduate biology courses: an evaluation of a hybrid course format. Comput Educ 44(3):217–235CrossRefGoogle Scholar
  62. Sanger MJ, Brecheisen DM, Hynek BM (2001) Can computer animations affect college biology students’ conceptions about diffusion and osmosis? Am Biol Teach 63(2):104–109CrossRefGoogle Scholar
  63. Schank R (2001) Designing world-class e-learning: how IBM, GE, Harvard Business School, and Columbia University Are Succeeding At E-LearningGoogle Scholar
  64. Schwartz DL, Lin X, Brophy S, Bransford JD (1999) Toward the development of flexibly adaptive instructional designs. In: Reigeluth CM (ed) Instructional-design theories and models: A new paradigm of instructional theory, vol 2. Lawrence Erlbaum Associates, Inc, Mahwah, pp 183–213Google Scholar
  65. Sinatra G (2005) The ‘warming trend’ in conceptual change research: the legacy of Paul R. Pintrich. Educ Psychol 40(2):107–115CrossRefGoogle Scholar
  66. Smith AC, Stewart R, Shields P, Hayes-Klosteridis J, Robinson P, Yuan R (2005) Introductory biology courses: a framework to support active learning in large enrollment introductory science courses. Life Sci Educ 4(2):143CrossRefGoogle Scholar
  67. Spektor-Levy O, Eylon B, Scherz Z (2009) Teaching scientific communication skills in science studies: does it make a difference? Int J Sci Math Educ 7:873–903CrossRefGoogle Scholar
  68. Thomson, Inc (2002) Thomson job impact study: the next generation of learning [electronic version]. Retrieved June 13, 2009 from http://www.delmarlearning.com/resources/job_impact_study_whitepaper.pdf
  69. Venville GJ, Treagust DF (1998) Exploring conceptual change in genetics using a multidimensional interpretive framework. J Res Sci Teach 35:1031–1055CrossRefGoogle Scholar
  70. Volpe P (1984) The shame of science education. Integr Comp Biol 24(2):433CrossRefGoogle Scholar
  71. Vosniadou S (1994) Capturing and modeling the process of conceptual change. Learn Instr 4:45–69CrossRefGoogle Scholar
  72. Waterman MA (1998) Investigative case study approach for biology learning. Bioscene. J College Biol Teach 24(1):3–10Google Scholar
  73. Wood WB (2009) Innovations in undergraduate biology teaching and why we need them. Ann Rev Cell Dev Biol 25:93–112CrossRefGoogle Scholar
  74. Wyckoff S (2001) Changing the culture of undergraduate science teaching. J College Sci Teach 30(5):306–312Google Scholar

Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Franklin UniversityColumbusUSA
  2. 2.Utah State UniversityLoganUSA

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