Perspectives on presentation and pedagogy in aid of bioinformatics education

Briefings in Bioinformatics

Volumn 11, Issue 6, 2010, Pages 587-597

  Buttigieg, Pier Luigi ^a  

^a MAX PLANCK INSTITUTE FOR MARINE MICROBIOLOGY   (Germany)

Author keywords

Bioinformatics; Learning; Lecture; Presentation; Teaching

Indexed keywords

ARTICLE; BIOLOGY; CURRICULUM; EDUCATION; EDUCATIONAL STATUS; INTERPERSONAL COMMUNICATION; MULTIMEDIA; TEACHING;

COMMUNICATION; COMPUTATIONAL BIOLOGY; CURRICULUM; EDUCATIONAL STATUS; MULTIMEDIA; TEACHING;

EID: 78649384421     PISSN: 14675463     EISSN: 14774054     Source Type: Journal    
DOI: 10.1093/bib/bbq062     Document Type: Article

References (87)

1. Counsell D. A review of bioinformatics education in the UK. Brief Bioinform 2003;4:7-21.
2. Koch I, Fuellen G. A review of bioinformatics education in Germany. Brief Bioinform 2008;9:232-42.
3. Wefer SH, Sheppard K. Bioinformatics in high school biology curricula: a study of state science standards. CBE Life Sci Educ 2008;7:155-62.
4. Zatz MM. Bioinformatics training in the USA. Brief Bioinform 2002;3:353-60.
5. Craig RJ, Amernic JH. PowerPoint presentation technology and the dynamics of teaching. Innov High Educ 2006;31:147-60.
6. Jones AM. The use and abuse of PowerPoint in teaching and learning in the life sciences: a personal overview. BEE-j 2003;2:2-3.
7. Bartsch R. Effectiveness of PowerPoint presentations in lectures. Comput Educ 2003;41:77-86.
8. Szabo A, Hastings N. Using IT in the undergraduate class-room: should we replace the blackboard with PowerPoint? Comput Educ 2000;35:175-87.
9. Tufte E. The Cognitive Style of PowerPoint. Cheshire, CT: Graphics Press, 2003.
10. Mayer RE. The promise of multimedia learning: using the same instructional design methods across different media. Learn Instr 2003;13:1225-39.
11. Reynolds G. Presentation Zen: Simple Ideas on Presentation Design and Delivery. Berkeley: Peachpit, 2008.
12. Rhodes JP, Gargett A, Abbott M, et al. Scientifically Speaking. Rockville: The Oceanography Society, 2005.
13. Duarte N. Slide:ology: The Art and Science of Creating Great Presentations. Sebastapol: O'Reilly Media, 2008.
14. Mayer RE. Should there be a three-strikes rule against pure discovery learning? The case for guided methods of instruction. Am Psychol 2004;59:14-19.
15. Kirschner P, Sweller J, Clark R, et al. Why minimal guidance during instruction does not work: an analysis of the failure of constructivist, discovery, problem-based, experiential, and inquiry-based teaching. Educ Psychol 2006;41:75-86.
16. Michael J. Where's the evidence that active learning works? Adv Physiol Educ 2006;30:159-67.
17. Entwistle N. Teaching for Understanding at University: Deep Approaches and Distinctive Ways of Thinking. Hampshire: Palgrave Macmillan, 2009.
18. Armbruster P, Patel M, Johnson E, et al. Active learning and student-centered pedagogy Improve student attitudes and performance in introductory biology. CBE Life Sci Educ 2009;8:203-13.
19. Roozendaal B, McEwen BS, Chattarji S, et al. Stress, memory and the amygdala. Nat Rev Neurosci 2009;10: 423-33.
20. Copeland HL, Longworth DL, Hewson MG, et al. Successful lecturing: a prospective study to validate attributes of the effective medical lecture. J Gen Intern Med 2000;15:366-71.
21. Madhuri M, Broussard C. 'Do I need to know this for the exam?' Using popular media, inquiry-based laboratories, and a community of scientific practice to motivate students to learn developmental biology. CBE Life Sci Educ 2008;7: 36-44.
22. Gollery M. An assessment of the current state of Bioinformatics education (Editorial). Bioinformation 2006;1: 247.
23. Zimmermann M, Eckert GP. Enhanced student experience: an analysis of subjective evaluation and objective learning success after the transformation of a pharmaceutical physiology course. Adv Physiol Educ 2010;34:1-10.
24. Leung WC. How to conduct a survey. Stud Br Med J 2001;9: 143-5.
25. Tibell LA, Rundgren C. Educational challenges of molecular life science: characteristics and implications for education and research. CBE Life Sci Educ 2010;9:25-33.
26. Clark R, Nguyen F, Sweller J, et al. Efficiency in Learning: Evidence-Based Guidelines to Manage Cognitive Load. San Francisco: Pfeiffer, 2006.
27. Russell IJ, Hendricson WD, Herbert RJ, et al. Effects of lecture information density on medical student achievement. J Med Educ 1984;59:881-9.
28. Atkinson RK, Derry SJ, Renkl A, et al. Learning from examples: Instructional principles from the worked examples research. Rev Educ Res 2000;70:181-214.
29. Ai Y, Jermiin L, Firth N, et al. Teaching bioinformatics: a student-centred and problem based approach. CAL-laborate 2003;10:25-30.
30. Azer SA. What makes a great lecture? Use of lectures in a hybrid PBL curriculum. Kaohsiung J Med Sci 2009;25: 109-15.
31. Ferguson C. Using the revised taxonomy to plan and deliver team-taught, integrated, thematic units. Theor Pract 2002;41:238-43.
32. Lim SJ, Khan AM, De Silva M, et al. The implementation of e-learning tools to enhance undergraduate bioinformatics teaching and learning: a case study in the National University of Singapore. BMC Bioinformatics 2009;10 (Suppl 1):S12.
33. Tongsima W, Tongsima S, Palittapongarnpim P, et al. Outlook on Thailand's genomics and computational biology research and development. PLoS Comput Biol 2008;4: e1000115.
34. Repko AF. Interdisciplinary curriculum design. Acad Exch Q 2007;11:130-38.
35. Blokzijl W, Naeff R. The instructor as stagehand: Dutch student responses to PowerPoint. Business Commun Quart 2004;67:70-7.
36. McCroskey JC, Sallinen A, Fayer JM, et al. Nonverbal immediacy and cognitive learning: a cross-cultural investigation. Commun Educ 1996;45:200-11.
37. Baringer DK, McCroskey JC. Immediacy in the classroom: student immediacy. Commun Educ 2000;49:178-86.
38. Hartnett N, Roumlmcke J, Yap C, et al. Recognizing the importance of instruction style to students' performance: some observations from laboratory research - a research note. Acc Educ 2003;12:313-31.
39. Burrows AM. The facial expression musculature in primates and its evolutionary significance. Bioessays 2008;30: 212-25.
40. Pfungst O. Clever Hans: (the horse of Mr. Von Osten.) A Contribution to Experimental Animal and Human Psychology. New York: Holt, Rinehart and Winston, 1911.
41. Rosenthal R, Jacobson L. Pygmalion in the Classroom. New York: Irvington, 1992.
42. McKown C, Weinstein RS. Teacher expectations, class-room context, and the achievement gap. J Sch Psychol 2008;46:235-61.
43. Kuklinski MR, Weinstein RS. Classroom and developmental differences in a path model of teacher expectancy effects. Child Dev 2001;72:1554-78.
44. Layman JW. Inquiry and Learning: Realizing Science Standards in the Classroom. New York: The College Board, 1996.
45. National Research Council. Inquiry and the National Science Education Standards. Washington: National Academy Press, 2000.
46. Koch K, McLean J, Segev R, et al. How much the eye tells the brain. Curr Biol 2006;16:1428-34.
47. Nilsson D. The evolution of eyes and visually guided behaviour. Philos Trans R Soc Lond B Biol Sci 2009;364: 2833-47.
48. Changizi M, Zhang Q, Shimojo S, et al. Bare skin, blood and the evolution of primate colour vision. Biol Lett 2006;2: 217-21.
49. Jacobs GH. Evolution of colour vision in mammals. Philos Trans RSoc Lond B Biol Sci 2009;364:2957-67.
50. Osorio D, Vorobyev M. A review of the evolution of animal colour vision and visual communication signals. Vision Res 2008;48:2042-51.
51. Vorobyev M. Ecology and evolution of primate colour vision. Clin Exp Optom 2004;87:230-8.
52. Whishaw IQ. Did a change in sensory control of skilled movements stimulate the evolution of the primate frontal cortex? Behav Brain Res 2003;146:31-41.
53. Meltzoff AN, Kuhl PK, Movellan J, et al. Foundations for a new science of learning. Science 2009;325:284-8.
54. Moore DM, Dwyer FM. Visual Literacy: A Spectrum ofVisual Learning. Englewood Cliffs, NJ: Educational Technology Publications, 1994.
55. Lester PM. Visual Communication: Images with Messages. Belmont: Wadsworth Publishing, 2005.
56. Tufte E. The Visual Display of Quantitative Information. Cheshire: Graphics Press, 2001.
57. Tufte E. Envisioning Information. Cheshire: Graphics Press, 1990.
58. Tufte E. Visual Explanations: Images and Quantities, Evidence and Narrative. Cheshire: Graphics Press, 1997.
59. Beakes G. A picture is worth a thousand words. A personal view of using images in the teaching of the biological sciences. BEE-j 2002;1:1-3.
60. Hans Rosling: Global Health Expert; Data Visionary. TED: Speakers. http://www.ted.com/speakers/hans_rosling.html (27 April 2010, date last accessed).
61. Ron Eglash: Mathematician. TED: Speakers. http://www.ted.com/speakers/ron_eglash.html (27 April 2010, date last accessed).
62. Caruso SM, Sandoz J, Kelsey J, et al. Non-STEM Undergraduates Become Enthusiastic Phage-Hunters. CBE Life Sci Educ 2009;8:278-82.
63. Bonnie Bassler: Molecular biologist. TED: Speakers. http://www.ted.com/speakers/bonnie_bassler.html (27 April 2010, date last accessed).
64. Larry Lessig: Lawyer, activist. TED: Speakers. http://www.ted.com/speakers/larry_lessig.html (27 April 2010, date last accessed).
65. Altschul SF, Gish W, Miller W, et al. Basic local alignment search tool. J Mol Biol 1990;215:403-10.
66. Omar Ahmad: Technologist, City Councilman. TED: Speakers. http://www.ted.com/speakers/omar_ahmad.html (27 April 2010, date last accessed).
67. Gagné R, Wager WW, Golas K, et al. Principles of Instructional Design. Belmont: Wadsworth Publishing, 2004.
68. Antonacci DM. Effective teaching with PowerPoint: a learning theory approach. EDUCASE Southwest Regional Conferences 2004. http://www.educause.edu/Resources/EffectiveTeachingwithPowerPoin/161198 (23 April 2010, date last accessed).
69. Packard MG. Anxiety, cognition, and habit: a multiple memory systems perspective. Brain Res 2009;1293:121-8.
70. Wolf OT. Stress and memory in humans: twelve years of progress? Brain Res 2009;1293:142-54.
71. Roozendaal B, McEwen BS, Chattarji S, et al. Stress, memory and the amygdala. Nat Rev Neurosci 2009;10: 423-33.
72. Loizzo J, Charlson M, Peterson J, et al. A program in contemplative self-healing: stress, allostasis, and learning in the Indo-Tibetan tradition. Ann NYAcad Sci 2009;1172:123-47.
73. Sweller J, Cooper GA. The use of worked examples as a substitute for problem solving in learning algebra. Cogn Instr 1985;2:59-89.
74. Cooper GA, Sweller J. Effects of schema acquisition and rule automation on mathematical problem-solving transfer. Educ Psychol 1987;79:347-62.
75. Sweller J, Kirschner PA, Clark RE, et al. Why minimally guided teaching techniques do not work: a reply to commentaries. Educ Psychol 2007;42:115-21.
76. Meier DK, Reinhard KJ, Carter DO, et al. Simulations with elaborated worked example modeling: Beneficial effects on schema acquisition. J Sci EducTechnol 2008;17:262-73.
77. Nayak SB. The broken lecture: an innovative method of teaching. Adv Physiol Educ 2006;30:48.
78. Rubinstein J, Dhoble A, Ferenchick G, et al. Puzzle based teaching versus traditional instruction in electrocardiogram interpretation for medical students - a pilot study. BMC Med Educ 2009;9:4.
79. Crossgrove K, Curran KL. Using clickers in nonmajors-and majors-level biology courses: student opinion, learning, and long-term retention of course material. CBE Life Sci Educ 2008;7:146-54.
80. Cain J, Black EP, Rohr J, et al. An audience response system strategy to improve student motivation, attention, and feedback. Am J Pharm Educ 2009;73. Article 21.
81. Walker JD, Cotner SH, Baepler PM, et al. A delicate balance: integrating active learning into a large lecture course. CBE Life Sci Educ 2008;7:361-67.
82. Eddy SR. What is a hidden Markov model? Nat Biotechnol 2004;22:1315-6.
83. Merico D, Gfeller D, Bader GD, et al. How to visually interpret biological data using networks. Nat Biotechnol 2009;27:921-4.
84. Trapnell C, Salzberg SL. How to map billions of short reads onto genomes. Nat Biotechnol 2009;27:455-7.
85. Cline MS, Kent WJ. Understanding genome browsing. Nat Biotechnol 2009;27:153-5.
86. Eddy SR. Where did the BLOSUM62 alignment score matrix come from? Nat Biotechnol 2004;22:1035-6.
87. Costa MJ, Galembeck E, Marson GA, et al. A quick guide for computer-assisted instruction in computational biology and bioinformatics. PLoS Comput Biol 2008;4: e1000035.