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Morris, NP; Lambe, J; Ciccone, J; Swinnerton, BJ (2016)
Publisher: Wiley
Languages: English
Types: Article

Classified by OpenAIRE into

mesheuropmc: education
Technology enhanced learning is expanding rapidly, due to research showing the benefits for learners in terms of engagement, convenience, attainment and enjoyment. Mobile learning approaches are also gaining in popularity, particularly during practical classes and clinical settings. However, there are few systematic studies evaluating the impact of tablet devices on students’ learning in practical settings. The main aim of this three-year study was to gather rigorous evidence about students’ use of apps on a pre-configured tablet device in a neuroanatomy practical class, their perceptions of this and the impact of the intervention on learning outcomes, using data collected from three cohorts of students between 2011 and 2013. Results showed that students made extensive use of resources provided, and considered the devices to be beneficial for learning, and found them to be easy to use with minimal support and training. Students’ ownership of touch screen devices increased significantly during the trial period as did their use of devices for academic study. Analysis of examination scores showed a statistically significant increase in performance for neuroanatomy related questions after the introduction of tablet devices.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Apple Inc. (2013). Leeds School of Medicine changes learning culture with work-based iPhone devices. Retrieved from https://www.apple.com/uk/education/realstories/leeds-uni/
    • Beetham, H., & Sharpe, R. (Eds). (2013). Rethinking pedagogy for a digital age: Designing for 21st century learning. (2nd ed.). Abingdon, UK: Routledge.
    • Clay, C. A. (2011). Exploring the use of mobile technologies for the acquisition of clinical skills. Nurse Education Today, 31, 582-586.
    • Cold Spring Harbor Laboratory (2013). 3D Brain (1.2) [mobile application software]. Retrieved from https://itunes.apple. com/gb/app/3d-brain/id331399332?mt=8
    • Conole, G., De Laat, M., Dillon, T., & Darby, J. (2008). 'Disruptive technologies', 'pedagogical innovation': What's new? Findings from an in-depth study of students' use and perception of technology. Computers & Education, 50, 511-524.
    • Crossman, A. R., & Neary, D. (Eds.) (2010). Neuroanatomy: An illustrated color text (4th ed.). London, UK: Churchill Livingstone.
    • Dahlstrom, E., Walker, J. D., & Dziuban, C. (2013). ECAR study of undergraduate students and technology, 2013 ( 1st ed.). Louisville, CO: Educause Centre for Applied Research.
    • George-Walker, L. D., & Keeffe, M. (2010). Self-determined blended learning: A case study of blended learning design. Higher Education Research & Development, 29(1), 1-13.
    • Gall, M., Gall, J. & Borg, W. (2007) .(Eds.), Educational research: An introduction. (8th ed.). Boston, MA: Pearson/ Allyn and Bacon.
    • George, D., & Mallory, P. (2008). SPSS for Windows. Step by step: A simple guide and reference (8th ed.). Boston, MA: Pearson/Allyn and Bacon.
    • Google Inc. (2013) Google [mobile application software].
    • Green, R. A., Farchione, D., Hughes, D. L., & Chan, S. P. (2014). Participation in asynchronous online discussion forums does improve student learning of gross anatomy. Anatomical Sciences Education, 7, 71-76.
    • Haines, D. E. (2004). Neuroanatomy: An atlas of structures, sections, and systems (6th ed.). Philadelphia, PA: Lippincott Williams & Wilkins.
    • Harris, J., Mishra, P., & Koehler, M. (2009). Teachers' technological pedagogical content knowledge and learning activity types: Curriculum-based technology integration reframed. Journal of Research on Technology in Education, 41, 393-416.
    • Heylings, D. J. A. (2002). Anatomy 1999-2000: The curriculum, who teaches it and how? Medical Education, 36(8), 702-710.
    • HD Brain. (2010). HD brain encyclopedia. iPod touch version app. Version 1.0. Tokyo, Japan: encyclopediasuite.com Size 28.6 MB. Rightsholder (2010) HD Brain (1.0).
    • Hwang, G. J., & Chang, H. F. (2011). A formative assessment-based mobile learning approach to improving the learning attitudes and achievements of students. Computers & Education, 56, 1023-1031.
    • Judd, T., & Kennedy, G. (2010). A five-year study of on-campus Internet use by undergraduate biomedical students. Computers & Education, 55, 1564-1571.
    • Karnad, A. (2013). Trends in educational technologies - LSE research online. Retrieved from http://eprints.lse.ac.uk/ 55965/1/__lse.ac.uk_storage_LIBRARY_Secondary_libfile_ shared_repository_Content_Centre%20for%20Learning%20 Technology_Trends%20in%20Education%20Technology.pdf
    • Kay, R. H., & Lauricella, S. (2011). Exploring the benefits and challenges of using laptop computers in higher education classrooms: A formative analysis. Canadian Journal of Learning and Technology/La revue Canadienne de l'apprentissage et de la technologie, 37(1), 1-18.
    • Kearney, M., Schuck, S., Burden, K., & Aubusson, P. (2012). Viewing mobile learning from a pedagogical perspective. Research in Learning Technology, 20(1). 14406. doi: 10.3402/rlt.v20i0.14406
    • Lapinsky, S. E. (2007). Mobile computing in critical care. Journal of Critical Care, 22(1), 41-44.
    • Lewis, T. L., Burnett, B., Tunstall, R. G., & Abrahams, P. H. (2014). Complementing anatomy education using threedimensional anatomy mobile software applications on tablet computers. Clinical Anatomy, 27, 313-320.
    • Luanrattana, R., Win, K. T., Fulcher, J., & Iverson, D. (2010). Adoption of mobile technology in a problem-based learning approach to medical education. International Journal of Mobile Learning and Organisation, 4, 294-316.
    • Mang, C. F., & Wardley, L. J. (2012). Effective adoption of tablets in post-secondary education: Recommendations based on a trial of iPads in university classes. Journal of Information Technology Education, 11, 301-317.
    • Mayfield, C. H., Ohara, P. T., & O'Sullivan, P. S. (2013). Perceptions of a mobile technology on learning strategies in the anatomy laboratory. Anatomical Sciences Education, 6(2), 81-89.
    • Morris, N. P., Ramsay, L., & Chauhan, V. (2012). Can a tablet device alter undergraduate science students' study behavior and use of technology? Advances in Physiology Education, 36, 97-107.
    • Mueller, P. A., & Oppenheimer, D. M. (2014). The pen is mightier than the keyboard advantages of longhand over laptop note taking. Psychological Science, 25, 1159-1168.
    • Naismith, L., Sharples, M., Vavoula, G., & Lonsdale, P. (2004). Literature review in mobile technologies and learning, report 11 (1st ed.). Bristol, UK: Futurelab.
    • Pachler, N., Bachmair, B., & Cook, J. (2010). Mobile learning: Structure, agency, practices (1st ed.). New York, NY: Springer Science + Business media.
    • Rossing, J. P., Miller, W. M., Cecil, A. K., & Stamper, S. E. (2012). iLearning: The future of higher education? Student perceptions on learning with mobile tablets. Journal of the Scholarship of Teaching and Learning, 12(2), 1-26.
    • SoundNote. (2013). SoundNote, iPad app. Version 2.5. New York, NY: David Estes. Size 4.9MB.
    • Sharpe, R., Benfield, G., Roberts, G., & Francis, R. (2006). The undergraduate experience of blended e-Learning: A review of UK literature and practice (1st ed.). York, UK: The Higher Education Academy.
    • Stringer, J., & Tobin, B. (2012). Launching a university tablet initiative: Recommendations from Stanford University's iPad implementation (1st ed.). Louisville, CO: Educause Learning Initiative.
    • Sylvius. (2011). Sylvius MR: Atlas of the human brain. iPhone, iPod touch app. Version 2.11. Durham, NC: Modality Inc. Size 16 MB.
    • Taradi, S. K., Taradi, M., Radić, K., & Pokrajac, N. (2005). Blending problem-based learning with Web technology positively impacts student learning outcomes in acid-base physiology. Advances in Physiology Education, 29(1), 35-39.
    • Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach's alpha. International Journal of Medical Education, 2, 53-55.
    • Traxler, J. (2009). Learning in a mobile age. International Journal of Mobile and Blended Learning (IJMBL), 1(1), 1-12.
    • Traxler, J. (2010). Students and mobile devices. Research in Learning Technology, 18, 146-160.
    • Trelease, R. B. (2008). Diffusion of innovations: Smartphones and wireless anatomy learning resources. Anatomical Sciences Education, 1(6), 233-239.
    • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 425-478.
    • Vinu, P. V., Sherimon, P. C., & Krishnan, R. (2011). Towards pervasive mobile learning-The vision of 21st century. Procedia-Social and Behavioral Sciences, 15, 3067-3073.
    • Welsh, K. E., Mauchline, A. L., Park, J. R., Whalley, W. B., & France, D. (2013). Enhancing fieldwork learning with technology: Practitioner's perspectives. Journal of Geography in Higher Education, 37, 399-415.
    • Winkelmann, A. (2007). Anatomical dissection as a teaching method in medical school: A review of the evidence. Medical Education, 41(1), 15-22.
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