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The Use of Mobile Devices and Online Services by German Veterinary Students

Cindy Kasch, Peggy Haimerl, Sebastian Arlt, Wolfgang Heuwieser

Published:  04/07/2016    in:  Articles

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Objective: The research question of our study was to determine the adoption and use of mobile devices and online services by veterinary students.

Background: New technologies support learning, communication and information transfer during the pre-professional years and the professional lifetime. Hence, mobile devices may also be a feasible tool for information access for the practitioner at any place and any time, and consequently may support better informed clinical decision making.

Evidentiary value: We conducted a survey among 124 German veterinary medical students in their third year with a median age of 23.0 years.

Methods: The survey was conducted during a lecture and contained 10 questions with preset answers to be ticked and a free text comment section. Participation was voluntary and data processing was performed anonymously.  

Results: According to the answers of surveyed third year students 84.7% used a smartphone as a mobile device. The vast majority of the veterinary students used Google, Facebook and WhatsApp besides other applications.  

Conclusion: Most students are familiar with mobile devices and the use of social media and information tools. Thus, new learning strategies could be developed and applied that encompass mobile online learning and information access. These strategies could help to better address different learning types, provide sufficient interactivity and feedback and enable veterinarians to seek and share information via the internet. However, despite promising results reporting a positive educational effect, these perceptions need to be validated in further research. In addition, it should be assessed in future surveys if veterinarians would use mobile online access to scientific data or Knowledge Summaries for better informed decision making in practice.

Application: Veterinary students, and thus the next generation of veterinary practitioners, are using mobile devices to a high extent. This paves the way to refine existing and to develop new education strategies. New information tools for mobile devices may help veterinarians to seek and share information. In addition, it might be worthwhile to teach veterinary students and practitioners how to search for and appraise online scientific information.

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  1. Applegate, JS. (2010) The Role of Mobile Electronic Devices in Radiographer Education. Radiologic Technology, 82 (2), pp. 124-31.
  2. Bidin, S. and Ziden, AA. (2013) Adoption and Application of Mobile Learning in the Education Industry. Procedia - Social and Behavioural Sciences, 90 pp. 720-729.
  3. Cheung, CMK. Pui-Yee, Chiu and Lee, MKO. (2010) Online Social Networks: Why Do Students Use Facebook? Computers in Human Behavior, 27 (4), pp. 1337-43.
  4. Church, K. and de Oliveira, R. (2013) What's up with Whatsapp?: Comparing Mobile Instant Messaging Behaviors with Traditional SMS. In: MobileHCI '13 15th International Conference on Human-Computer Interaction with Mobile Devices and Services Munich, Germany: Association for Computing Maschinery; 2013. pp. 352-61.
  5. Cole-Lewis, H. and Kershaw, T. (2010) Text Messaging as a Tool for Behavior Change in Disease Prevention and Management. Epidemiologic Reviews, 32 (1), pp. 56-69.
  6. Facebook. (2015a) Facebook Q1 2015 Results. [online] Available from: [Accessed 22 April 2015].
  7. Facebook. (2015b). Facebook Reports First Quarter 2015 Results. [online] Available from: [Accessed April 22, 2015].
  8. Folk, LC. March, JZ. and Hurst, RD. (2006) A Comparison of Linear, Fixed-Form Computer-Based Testing versus Traditional Paper-And-Pencil-Format Testing in Veterinary Medical Education. Journal of Veterinary Medical Education, 33 (3), pp. 455-64.
  9. Gikas, J. and Grant, MM. (2013) Mobile Computing Devices in Higher Education: Student Perspectives on Learning with Cellphones, Smartphones & Social Media. The Internet and Higher Education, 19, pp. 18-26.
  10. Goodarzi, M. et al. (2012) Impact of Distance Education via Mobile Phone Text Messaging on Knowledge, Attitude, Practice and Self Efficacy of Patients with Type 2 Diabetes Mellitus in Iran. Journal of Diabetes & Metabolic Disorders, 11 (1), p. 10.
  11. Greenhow, C. (2011) Youth, Learning, and Social Media. Journal of Educational Computing Research, 45 (2), pp. 139-46.
  12. Herman, S. (2007) SMS Reference: Keeping up with Your Clients. The Electronic Library, 25 (4), pp. 401-8.
  13. Informa nd. (2013) Versand, von. Instant-Messaging-Nachrichten und SMS weltweit 2011 und 2012 und Prognose für 2013 (in Mrd. pro Tag). [online] Available from: [Accessed April 22nd 2016].
  14. Juniper Research; eMarketer. (2013) Mobile Message Traffic Worldwide in 2012 and 2017 (in Trillions). [online] Available from: [Accessed April 22nd 2016].
  15. Kostelnik, K. et al. (2010) Feminization of the Veterinary Profession and the Shortage of Food Supply Veterinarians. Tierärztliche Praxis, 38 (3), pp. 156–64.
  16. Kolski, D. Heuwieser, W. and Arlt, S. (2015) Use and Future of Wiki Systems in Veterinary Education?--A Survey of Lecturers in German-Speaking Countries. Gesellschaft für Medizinische Ausbildung, 32 (5), Doc54.
  17. Kukulska-Hulme, A. (2005) Mobile Usability and User Experience In: Kukulska-Hulme A, Traxler J, eds. Mobile Learning - A Handbook for Educators and Trainers. Abingdon, UK: Routledge, pp. 45-7.
  18. Kutscher, N. (2014) Apps, Facebook, Onlineberatung... Sozial Extra, 38 (4), pp. 39-41.
  19. Levy, P. (2001) Cyberculture. Minneapolis: University of Minnesota Press, pp. 151-154.
  20. Lorenzi, D. et al. (2014) Enhancing the Government Service Experience through QR Codes on Mobile Platforms. Government Information Quarterly, 31 (1), pp. 6-16.
  21. Pempek, TA. Yermolayeva, YA. and Calvert, SL. (2009) College Students' Social Networking Experiences on Facebook. Journal of Applied Developmental Psychology, 30 (3), pp. 227-38.
  22. Pew Research Center. n.d. (2011) Percentage of U.S. Internet Users Accessing Search Engines as of May 2011, by Age Group. [online] Available from: [Accessed April 22nd 2016].
  23. Ramsden, A. (2008) The Use of QR Codes in Education: A Getting Started Guide for Academics. [online] Available from: [Accessed April 22nd 2016]. pp. 1-9.
  24. Roblyer, MD. et al. (2010) Findings on Facebook in Higher Education: A Comparison of College Faculty and Student Uses and Perceptions of Social Networking Sites. The Internet and Higher Education, 13 (3), pp. 134-40.
  25. Rodriguez, JE. (2011) Social Media Use in Higher Education: Key Areas to Consider for Educators. Journal of Online Learning and Teaching, 7 (4), pp. 539-50.
  26. Schaper, E. et al. (2011) Case-Based Assessment in Veterinary Medicine - Searching for Alternatives to Multiple Choice Questions. Tierärztliche Umschau, 66 (6), pp. 261-8.
  27. Short, N. (2002) The Use of Information and Communication Technology in Veterinary Education. Research in Veterinary Science, 72 (1), pp. 1-6.
  28. Simões, JCC. (2010) Information Communication Technology Applied to Veterinary Education in Early XXI Century. Veterinary.Com, 3 (1), pp. 1-29.
  29. Smith, RD. (2003) The Application of Information Technology in the Teaching of Veterinary Epidemiology and Public Health. Journal of Veterinary Medical Education, 30 (4), pp. 344-50.
  30. Tella, S. (2003) M-learning—Cybertextual Traveling or a Herald of Post-Modern Education? In: Kynäslahti, H. and Seppälä, P. (eds.) Mobile Learning Helsinki. Helsinki: IT Press, pp. 7-21.
  31. Trace, C. Baillie, S. and Short N. (2012) Development and Preliminary Evaluation of Student-Authored Electronic Cases. Journal of Veterinary Medical Education, 39 (4), pp. 368-74.
  32. Traxler, J. (2007) Defining, Discussing, and Evaluating Mobile Learning: The Moving Finger Writes and Having Writ... . The International Review of Research in Open and Distributed Learning, 8 (2), pp. 1-12.
  33. Traxler, J. (2010) Distance Education and Mobile Learning: Catching up, Taking Stock. Distance Education, 31 (2), pp. 129-38.
  34. Traxler, J. (2012) Sustaining Mobile Learning and its Institutions. In: Parsons D, ed. Refining Current Practices in mobile and Blended Learning: New Applications. Melbourne: Routledge, pp. 2-8.
  35. Valliyate, M. Robinson, NG. and Goodman, JR. (2012) Current Concepts in Simulation and Other Alternatives for Veterinary Education: A Review. Veterinarni Medicina, 57 (7), pp. 325-37.
  36. Wallace, S. Clark, M. and White, J. (2012) 'It's on My iPhone': Attitudes to the Use of Mobile Computing Devices in Medical Education, a Mixed-Methods Study. BMJ Open 2 (4).
  37. Wasko, MM. and Faraj, S. (2005). Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of Practice. MIS Quarterly, 29 (1), pp. 35-57.
  38. Wolff, C. (2006) Information Retrieval is for Everybody – Beobachtungen und Thesen. In: Schaaf MuA, KD, ed. Lernen, Wissensentdeckung und Adaptivität - LWA / Workshop Information Retrieval der GI - FGIR 2006 Hildesheimer Informatik-Berichte. Hildesheim, Universität Hildesheim, pp. 102-7.
  39. Wu, TT. (2014) Using Smart Mobile Devices in Social-Network-Based Health Education Practice: A Learning Behavior Analysis. Nurse Education Today, 34 (6), pp. 958-63.


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