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Technology-supported Learning in Secondary and Undergraduate Biological Education: Observations from Literature Review

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Abstract

We conducted a literature review of using educational technology in biology learning from 2001 to 2010. A total of 36 empirical articles were included for review. Based upon the content analyses of these studies, such as technologies utilized, student sample, biological topics involved, the research purpose, and methodology, the following observations were revealed. Among the different types of technologies, the majority of studies utilized simulations or visualization tools. Genetics and molecular biology were the most popular biological topics. Most studies examined students’ conceptual outcomes, fewer studies examined affective outcomes, and a few studies examined higher-order skills. Also a small number of studies observed students’ learning processes. Beyond simply the comparison for traditional teaching versus technology-assisted learning, some studies emphasized comparing different technologies or different representations. This review also suggested some future research directions. For example, more studies should use technologies for interdisciplinary training and for fostering problem-solving skills.

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Notes

  1. Some studies may be counted in more than one category. For example, in a study, the research sample subjects included both high school students and college students. Thus the tallied number of studies across different categories can be more than 36.

References

  • Bodzin AM, Waller PL, Santoro LE, Kale D (2007) Investigating the use of inquiry & web-based activities with inclusive biology learners. Am Biol Teach 69(5):273–279

    Article  Google Scholar 

  • Bonnett C, Wildemuth B, Sonnenwald D (2006) Interactivity between proteges and scientists in an electronic mentoring program. Instr Sci 34(1):21–61

    Article  Google Scholar 

  • Cepni S, Tas E, Kose S (2006) The effects of computer-assisted material on students’ cognitive levels, misconceptions and attitudes towards science. Comput Educ 46(2):192–205

    Article  Google Scholar 

  • Chang K, Sung Y, Chen S (2001) Learning through computer-based concept mapping with scaffolding aid. J Comput Assist Learn 17(1):21–33

    Article  Google Scholar 

  • Crossgrove K, Curran KL (2008) Using clickers in nonmajors- and majors-level biology courses: student opinion, learning, and long-term retention of course material. CBE-Life Sci Educ 7(1):146–154

    Article  Google Scholar 

  • Dantas AM, Kemm RE (2008) A blended approach to active learning in a physiology laboratory-based subject facilitated by an e-learning component. Adv Physiol Educ 32(1):65–75

    Article  Google Scholar 

  • Edelson DC, Reiser B (2006) Making authentic practices accessible to learners. Cambridge handbook of the learning sciences. Cambridge University Press, New York

    Google Scholar 

  • Gelbart H, Brill G, Yarden A (2009) The impact of a web-based research simulation in bioinformatics on students’ understanding of genetics. Res Sci Educ 39:725–751

    Article  Google Scholar 

  • Harris MA, Peck RF, Colton S, Morris J, Neto EC, Kallio J (2009) A combination of hand-held models and computer imaging programs helps students answer oral questions about molecular structure and function: a controlled investigation of student learning. CBE-Life Sci Educ 8(29–43):2009

    Google Scholar 

  • Harskamp EG, Mayer RE, Suhre C (2007) Does the modality principle for multimedia learning apply to science classrooms? Learn Instr 17(5):465–477

    Article  Google Scholar 

  • Hickey DT, Kindfield ACH, Horwitz P, Christie MAT (2003) Integrating curriculum, instruction, assessment, and evaluation in a technology-supported genetics learning environment. Am Educ Res J 40(2):495–538

    Article  Google Scholar 

  • Huk T (2006) Who benefits from learning with 3D models? The case of spatial ability. J Comput Assist Learn 22(6):392–404

    Article  Google Scholar 

  • Huppert J, Lomask SM, Lazarowitz R (2002) Computer simulations in the high school: Students’ cognitive stages, science process skills and academic achievement in microbiology. Int J Sci Educ 24(8):803–821

    Article  Google Scholar 

  • Jones MG, Andre T, Superfine R, Taylor R (2003) Learning at the nanoscale: the impact of students’ use of remote microscopy on concepts of viruses, scale, and microscopy. J Res Sci Teach 40(3):303–322

    Article  Google Scholar 

  • Kano K, Yahata S, Muro K, Kawakami M, Tomoda M, Miyaki K, Kato K (2008) Multimedia presentations on the human genome implementation and assessment of a teaching program for the introduction to genome science using a poster and animations. Biochem Mol Biol Educ 36(6):395–401

    Article  Google Scholar 

  • Kara Y, Yesilyurt S (2008) Comparing the impacts of tutorial and edutainment software programs on students’ achievements, misconceptions, and attitudes towards biology. J Sci Educ Technol 17:32–41

    Article  Google Scholar 

  • Lajoie SP, Lavigne NC, Guerrera C, Munsie SD (2001) Constructing knowledge in the context of BioWorld. Instr Sci 29:155–186

    Article  Google Scholar 

  • Lee J, Park O (2008) Adaptive instructional systems. In: Spector JM, Merrill MD, Merrienboer JV, Driscoll MP (eds) Handbook of research for educational communications and technology, 3rd edn. Lawrence Erlbaum Associates, New York, pp 651–684

    Google Scholar 

  • Lee SW-Y, Tsai C-C (in press) Students’ domain-specific scientific epistemological beliefs: a comparison between biology and physics. Asia Pac Educ Res

  • Lee SW-Y, Tsai C-C, Wu Y-T, Tsai M-J, Liu TC, Hwang F-K, Lai C-H, Liang J-C, Wu H-C, Chang C-Y (2011) Internet-based science learning: a review of journal publications. Int J Sci Educ 33:1893–1925

    Article  Google Scholar 

  • Lin C-C, Tsai C-C (2008) Exploring the structural relationships between high school students’ scientific epistemological views and their utilization of information commitments toward online science information. Int J Sci Educ 30:2001–2022

    Article  Google Scholar 

  • Lin C-Y, Cheng Y-J, Chang Y-T, Hu R (2002) The use of Internet-based learning in biology. Innov Educ Teach Int 39(3):237–242

    Article  Google Scholar 

  • Linn MC (2003) Technology and science education: starting points, research programs and trends. Int J Sci Educ 25(6):727–758

    Article  Google Scholar 

  • Lumpe AT, Butler K (2002) The information seeking strategies of high school science students. Res Sci Educ 32(4):549–566

    Article  Google Scholar 

  • Marbach-Ad G, Rotbain Y, Stavy R (2008) Using computer animation and illustration activities to improve high school students’ achievement in molecular genetics. J Res Sci Teach 45(3):273–292

    Article  Google Scholar 

  • Mayr E (1982) The growth of biological thought: diversity, evolution, and inheritance. Belknap Press of Harvard University Press, Cambridge

    Google Scholar 

  • McComas WF (2003) A textbook case of the nature of science: Laws and theories in the science of biology. Int J Sci Math Educ 1:141–155

    Article  Google Scholar 

  • National Research Council (2003) Transforming undergraduate education for future research biologist. National Academies Press, Washington, DC

    Google Scholar 

  • National Research Council (2009) A new biology for the 21st century. National Academies Press, Washington, DC

    Google Scholar 

  • Norris SP, Macnab JS, Wonham M, de Vries G (2009) West nile virus: using adapted primary literature in mathematical biology to teach scientific and mathematical reasoning in high school. Res Sci Educ 39(3):321–329

    Article  Google Scholar 

  • Oviatt SL, Cohen AO (2010) Toward high-performance communications interfaces for science problem solving. J Sci Educ Technol 19(6):515–531

    Article  Google Scholar 

  • Owusu KA, Monney KA, Appiah JY, Wilmot EM (2010) Effects of computer-assisted instruction on performance of senior high school biology students in ghana. Comput Educ 55(2):904–910

    Article  Google Scholar 

  • Patton MQ (2002) Qualitative analysis and interpretation. In: Qualitative research and evaluation methods. Sage Publications, Inc., Thousand Oaks

  • Peat M, Franklin S (2002) Supporting student learning: the use of computer-based formative assessment modules. Br J Educ Technol 33(5):515–523

    Article  Google Scholar 

  • Poland R, la Velle LB, Nichol J (2003) The virtual field station (VFS): using a virtual reality environment for ecological fieldwork in a-level biological studies—case study 3. Br J Educ Technol 34(2):215–231

    Article  Google Scholar 

  • Predavec M (2001) Evaluation of e-rat, computer-based rat dissection, in terms of student learning outcomes. J Biol Educ 35(2):75–80

    Article  Google Scholar 

  • Riess W, Mischo C (2010) Promoting systems thinking through biology lessons. Int J Sci Educ 32(6):705–725

    Article  Google Scholar 

  • 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):217–235

    Article  Google Scholar 

  • Rotbain Y, Marbach-Ad G, Stavy R (2008) Using a computer animation to teach high school molecular biology. J Sci Educ Technol 17:49–58

    Article  Google Scholar 

  • Soderberg P, Price F (2003) An examination of problem-based teaching and learning in population genetics and evolution using EVOLVE, a computer simulation. Int J Sci Educ 25(1):35–55

    Article  Google Scholar 

  • Spiegel CN, Alves GG, Cardona TdS, Melim LMC, Luz MRMP, Araujo-Jorge TC et al (2008) Discovering the cell: an educational game about cell and molecular biology. J Biol Educ 43(1):27–35

    Article  Google Scholar 

  • Stevens RJ (1988) Human nature and the nature of science. Am Biol Teach 50(6):354–361

    Article  Google Scholar 

  • Swan AE, O’Donnell AM (2009) The contribution of a virtual biology laboratory to college students’ learning. Innov Educ Teach Int 46(4):405–419

    Article  Google Scholar 

  • Thompson KV, Nelson K, Marbach-Ad G, Keller M, Fagan WF (2010) Online interactive teaching modules enhance quantitative proficiency of introductory biology students. CBE-Life Sci Educ 9(3):277–283

    Article  Google Scholar 

  • Tsai C–C (2004) Information commitments in web-based learning environments. Innov Educ Teach Int 41:105–112

    Article  Google Scholar 

  • Tsui C-Y, Treagust DF (2003) Genetics reasoning with multiple external representations. Res Sci Educ 33(1):111–135

    Article  Google Scholar 

  • Tsui C-Y, Treagust DF (2007) Understanding genetics: analysis of secondary students’ conceptual status. J Res Sci Teach 44(2):205–235

    Article  Google Scholar 

  • Winn W (2002) Current trendsin educational technology research: The study learning environments. Educ Psychol Rev 14(3):331–351

    Article  Google Scholar 

  • Yarden H, Yarden A (2010) Learning using dynamic and static visualizations: students’ comprehension, prior knowledge and conceptual status of a biotechnological method. Res Sci Educ 40:375–402

    Article  Google Scholar 

  • Yildirim Z, Ozden M, Aksu M (2001) Comparison of hypermedia learning and traditional instruction on knowledge acquisition and retention. J Educ Res 94(4):207–214

    Article  Google Scholar 

  • Yusuf MO, Afolabi AO (2010) Effects of computer assisted instruction (CAI) on secondary school students’ performance in biology. Turk Online J Educ Technol 9(1):62–69

    Google Scholar 

Download references

Acknowledgments

This study was supported by the National Science Council, under grant numbers NSC100-2628-S-018-001-MY3, NSC99-2511-S-011-005-MY3.

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Correspondence to Silvia Wen-Yu Lee.

Appendix

Appendix

See Table 1.

Table 1 A summary of all reviewed studies

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Lee, S.WY., Tsai, CC. Technology-supported Learning in Secondary and Undergraduate Biological Education: Observations from Literature Review. J Sci Educ Technol 22, 226–233 (2013). https://doi.org/10.1007/s10956-012-9388-6

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