Googling in anatomy education: Can google trends inform educators of national online search patterns of anatomical syllabi?

Anatomical Sciences Education

Volumn 10, Issue 2, 2017, Pages 152-159

  Phelan, Nigel ^a   Davy, Shane ^a   O'Keeffe, Gerard W ^b   Barry, Denis S ^a  

^a TRINITY COLLEGE DUBLIN   (Ireland)

^b UNIVERSITY COLLEGE CORK   (Ireland)

Author keywords

e learning; Google Trends data analysis; gross anatomy education; health sciences; Internet search; medical education; millennial generation; web based learning

Indexed keywords

ACCESS TO INFORMATION; ANATOMY; AUTOMATED PATTERN RECOGNITION; CURRICULUM; DATA MINING; EDUCATION; FEASIBILITY STUDY; HEALTH STUDENT; HUMAN; INTERNET; SEARCH ENGINE; SEASON; TIME FACTOR; TRENDS; VOCATIONAL EDUCATION; WEB BROWSER;

ACCESS TO INFORMATION; ANATOMY; CURRICULUM; DATA MINING; EDUCATION, PROFESSIONAL; FEASIBILITY STUDIES; HUMANS; INTERNET; PATTERN RECOGNITION, AUTOMATED; SEARCH ENGINE; SEASONS; STUDENTS, HEALTH OCCUPATIONS; TIME FACTORS; WEB BROWSER;

EID: 85015994693     PISSN: 19359772     EISSN: 19359780     Source Type: Journal    
DOI: 10.1002/ase.1641     Document Type: Article

References (56)

1. Allen EB, Walls RT, Reilly FD. 2008. Effects of interactive instructional techniques in a web-based peripheral nervous system component for human anatomy. Med Teach 30:40–47.
2. Barry DS, Marzouk F, Chulak-Oglu K, Bennett D, Tierney P, O'Keeffe GW. 2016a. Anatomy education for the YouTube generation. Anat Sci Educ 9:90–96.
3. Barry DS, Tierney P, O'Keeffe GW. 2016b. The need for ethical and pedagogical frameworks for developing online media in anatomy education. Anat Sci Educ 9:498–499.
4. Bartlett MS. 1946. On the theoretical specification and sampling properties of autocorrelated time series. J Roy Stat Soc Suppl 8:27–41.
5. Caruso JB, Salaway G. 2007. The ECAR Study of Undergraduate Students and Information Technology. 1st Ed. Boulder, CO: EDUCAUSE Center for Applied Research. 15 p. URL: www.csplacement.com/downloads/ECAR-ITSkliisstudy.pdf [accessed 23 June 2016].
6. Chatfield C. 2003. The Analysis of Time Series: An Introduction. 6th Ed. London: Chapman & Hall/CRC. 352 p.
7. Choi-Lundberg DL, Low TF, Patman P, Turner P, Sinha SN. 2016. Medical student preferences for self-directed study resources in gross anatomy. Anat Sci Educ 9:150–160.
8. Cook DA, Levinson AJ, Garside S, Dupras DM, Erwin PJ, Montori VM. 2008. Internet-based learning in the health professions: A meta-analysis. JAMA 300:1181–1196.
9. Cooke M, Irby DM, O'Brien BC. 2010. Educating Physicians: A Call for Reform of Medical School and Residency. 1st Ed. San Francisco, CA: Jossey-Bass. 320 p.
10. Craig S, Tait N, Boers D, McAndrew D. 2010. Review of anatomy education in Australian and New Zealand medical schools. ANZ J Surg 80:212–216.
11. Davis CR, Bates AS, Ellis H, Roberts AM. 2014. Human anatomy: Let the students tell us how to teach. Anat Sci Educ 7:262–272.
12. Drake RL, McBride JM, Lachman N, Pawlina W. 2009. Medical education in the anatomical sciences: The winds of change continue to blow. Anat Sci Educ 2:253–259.
13. Dugas AF, Jalalpour M, Gel Y, Levin S, Torcaso F, Igusa T, Rothman RE. 2013. Influenza forecasting with Google flu trends. PLoS One 8:e56176.
14. Friedrich R, Le Merle M, Peterson M, Koster A. 2010. The Rise of Generation C Implications for the World of 2020. 1st Ed. Tysons Corner, VA: Booz & Company, Inc. p 20.
15. Glynn RW, Kelly JC, Coffey N, Sweeney KJ, Kerin MJ. 2011. The effect of breast cancer awareness month on Internet search activity–A comparison with awareness campaigns for lung and prostate cancer. BMC Cancer 11:442.
16. Google. 2016a. Google Trends. Mountain View, CA: Google, Inc. URL: www.google.com/trends [accessed 14 April 2016].
17. Google. 2016b. Trends Help: Where Trends Data Comes from. Mountain View, CA: Google, Inc. URL: www.support.google.com/trends/answer/4355213?hl=en&ref_topic=4365599 [accessed 2 March 2016].
18. Google Data Arts Team. 2011. Google Search Volume by Language. Google, Inc., Mountain View, CA. URL: http://data-arts.appspot.com/globe-search/[accessed 14 June 2016].
19. Hasty RT, Garbalosa RC, Barbato VA, Valdes PJ Jr, Powers DW, Hernandez E, John JS, Suciu G, Qureshi F, Popa-Radu M, Jose SS, Drexler N, Patankar R, Paz JR, King CW, Gerber HN, Valladares MG, Somji AA. 2014. Wikipedia vs peer-reviewed medical literature for information about the 10 most costly medical conditions. J Am Osteopath Assoc 114:368–373.
20. Herbert VG, Frings A, Rehatschek H, Richard G, Leithner A. 2015. Wikipedia–Challenges and new horizons in enhancing medical education. BMC Med Educ 15:32.
21. Hopkins R, Regehr G, Wilson TD. 2011. Exploring the changing learning environment of the gross anatomy lab. Acad Med 86:883–888.
22. ITU. 2016. International Telecommunication Union. Internet Users by Country (2016). Geneva, Switzerland: International Telecommunication Union. URL: www.internetlivestats.com/internet-users-by-country [accessed 22 June 2016].
23. Jaffar AA. 2012. YouTube: An emerging tool in anatomy education. Anat Sci Educ 5:158–164.
24. Johnson IP, Palmer E, Burton J, Brockhouse M. 2013. Online learning resources in anatomy: What do students think? Clin Anat 26:556–563.
25. Judd T, Kennedy G. 2010. A five-year study of on-campus Internet use by undergraduate biomedical students. Comput Educ 55:1564–1571.
26. Judd T, Kennedy G. 2011. Expediency-based practice? Medical students' reliance on Google and Wikipedia for biomedical inquiries. Br J Educ Tech 42:351–360.
27. Leonard RJ, Acland RD, Agur A, Blevins CE, Cahill DR, Collins JD, Dalley AF II, Dolph J, Hagedoorn JP, Hoos PC, Jones DG, Mathers LH, McFee R, Mennin SP, Negulesco JA, Nelson ML, Olson TR, Page DW, Pawlina W, Petterborg LJ, Price JM, Spielman JE, Younoszai R. 1996. A clinical anatomy curriculum for the medical student of the 21st century: Gross anatomy. Clin Anat 9:71–99.
28. Little S, Ferguson R, Ruger S. 2012. Finding and reusing learning materials with multimedia similarity search and social networks. Technol Pedagog Educ 21:255–271.
29. Mayfield CH, Ohara PT, O'Sullivan PS. 2013. Perceptions of a mobile technology on learning strategies in the anatomy laboratory. Anat Sci Educ 6:81–89.
30. Moxham BJ, Plaisant O, Smith CF, Pawlina W, McHanwell S. 2014. An approach toward the development of core syllabuses for the anatomical sciences. Anat Sci Educ 7:302–311.
31. Nalliah S, Chan SL, Ong CL, Suthan TH, Tan KC, She VN, Gupta E. 2010. Effectiveness of the use of Internet search by third year medical students to establish a clinical diagnosis. Singapore Med J 51:332–338.
32. Net Market Share. 2016. NetMarketShareSM. Market Share Statistics for Internet Technologies. Market Share Reports. Irvine, CA: Net Applications. URL: www.netmarketshare.com/ [accessed 23 June 2016].
33. Nowinski WL, Thirunavuukarasuu A, Ananthasubramaniam A, Chua BC, Qian G, Nowinska NG, Marchenko Y, Volkau I. 2009. Automatic testing and assessment of neuroanatomy using a digital brain atlas: Method and development of computer- and mobile-based applications. Anat Sci Educ 2:244–252.
34. Nuti SV, Wayda B, Ranasinghe I, Wang S, Dreyer RP, Chen SI, Murugiah K. 2014. The use of Google Trends in health care research: A systematic review. PLoS One 9:e109583.
35. O'Malley A. 2015. Who's Googling Anatomy? University of Southampton, Southampton, UK. URL: http://www.aomalley.com/google-anatomy/ [accessed 31 May 2016].
36. Perrin A, Duggan M. 2015. Americans' Internet Access: 2000–2015: As Internet Use Nears Saturation for Some Groups, a Look at Patterns of Adoption. 1st Ed. Washington, DC: Pew Research Center. 13 p. URL: www.pewinternet.org/files/2015/06/2015-06-26_internet-usage-across-demographics-discover_FINAL.pdf [accessed 14 April 2016].
37. Phelan N, Kelly JC, Moore DP, Kenny P. 2014. The effect of the metal-on-metal hip controversy on Internet search activity. Eur J Orthop Surg Traumatol 24:1203–1210.
38. Philip CT, Unruh KP, Lachman N, Pawlina W. 2008. An explorative learning approach to teaching clinical anatomy using student generated content. Anat Sci Educ 1:106–110.
39. Phillips AW, Reddy S, Durning SJ. 2016. Improving response rates and evaluating nonresponse bias in surveys: AMEE guide no. 102. Med Teach 38:217–228.
40. Phitayakorn R, Nick MW, Alseidi A, Lind DS, Sudan R, Isenberg G, Capella J, Hopkins MA, Petrusa ER. 2015. WISE-MD usage among millennial medical students. Am J Surg 209:152–157.
41. Pickering JD. 2015. Anatomy drawing screencasts: Enabling flexible learning for medical students. Anat Sci Educ 8:249–257.
42. Potts HW. 2011. Student experiences of creating and sharing material in online learning. Med Teach 33:e607–e614.
43. Raikos A, Waidyasekara P. 2014. How useful is YouTube in learning heart anatomy? Anat Sci Educ 7:12–18.
44. Richardson A, Hazzard M, Challman SD, Morgenstein AM, Brueckner JK. 2011. A “Second Life” for gross anatomy: Applications for multiuser virtual environments in teaching the anatomical sciences. Anat Sci Educ 4:39–43.
45. Romanov K, Aarnio M. 2006. A survey of the use of electronic scientific information resources among medical and dental students. BMC Med Educ 6:28.
46. Singh R, Tubbs SR, Gupta K, Singh M, Jones DG, Kumar R. 2015. Is the decline of human anatomy hazardous to medical education/profession?–A review. Surg Radiol Anat 37:1257–1265.
47. Smith SD, Caruso JB. 2010. The ECAR Study of Undergraduate Students and Information Technology, 2010–Key Findings. 1st Ed. Boulder, CO: EDUCAUSE Center for Applied Research. 13 p. URL: www.educause.edu/ir/library/pdf/EKF/EKF1006.pdf [accessed 1 May 2016].
48. Smith CF, Finn GM, Stewart J, Atkinson MA, Davies DC, Dyball R, Morris J, Ockleford C, Parkin I, Standring S, Whiten S, Wilton J, McHanwell S. 2016. The Anatomical Society core regional anatomy syllabus for undergraduate medicine. J Anat 228:15–23.
49. Stewart S, Choudhury B. 2015. Mobile technology: Creation and use of an iBook to teach the anatomy of the brachial plexus. Anat Sci Educ 8:429–437.
50. Sugand K, Abrahams P, Khurana A. 2010. The anatomy of anatomy: A review for its modernization. Anat Sci Educ 3:83–93.
51. Svenstrup D, Jørgensen HL, Winther O. 2015. Rare disease diagnosis: A review of web search, social media and large-scale data-mining approaches. Rare Dis 3:e1083145.
52. Swinnerton BJ, Morris NP, Hotchkiss S, Pickering JD. 2017. The integration of an anatomy massive open online course (MOOC) into a medical anatomy curriculum. Anat Sci Educ 10:53–67.
53. Telfer S, Woodburn J. 2015. Let me Google that for you: A time series analysis of seasonality in Internet search trends for terms related to foot and ankle pain. J Foot Ankle Res 8:27.
54. Trelease RB. 2016. From chalkboard, slides, and paper to e-learning: How computing technologies have transformed anatomical sciences education. Anat Sci Educ 9:583–602.
55. Tubbs RS, Sorenson EP, Sharma A, Benninger B, Norton N, Loukas M, Moxham BJ. 2014. The development of a core syllabus for the teaching of head and neck anatomy to medical students. Clin Anat 27:321–330.
56. Vedantham A, Hassen M. 2011. New media: Engaging and educating the YouTube generation. J Learn Spaces 1:1–9. URL: www.libjournal.uncg.edu/jls/article/download/218/147 [accessed 23 June 2016].