References
- Alegrìa DAH, Boscardin C, Poncelet A, Mayfield C, Wamsley M. 2014. Using tablets to support self-regulated learning in a longitudinal integrated clerkship. Med Educ Online. 19:23638.
- Ariely D. 2008. Predictably irrational: the hidden forces that shape our decisions. New York (NY): Harper.
- Artino AR, Dong T, DeZee KJ, Gilliland WR, Waechter DM, Cruess D, Durning SJ. 2012. Achievement goal structures and self-regulated learning: relationships and changes in medical school. Acad Med. 87:1375–1381.
- Artino AR, Holmboe ES, Durning SJ. 2012. Control-value theory: using achievement emotions to improve understanding of motivation, learning, and performance in medical education: AMEE Guide No. 64. Med Teach. [Internet]. [cited 2016 Jan 27]; 34:e148–e160. Available from: http://www.scopus.com/inward/record.url?eid = 2-s2.0-84857621620&partnerID = tZOtx3y1
- Brusilovsky P, Peylo C. 2003. Adaptive and intelligent web-based educational systems. Int J Artif Intell Educ. 13:156–169.
- Chen HC, ten Cate O, O’Sullivan P, Boscardin C, Eidson-Ton WS, Basaviah P, Woehrle T, Teherani A. 2016. Students' goal orientations, perceptions of early clinical experiences and learning outcomes. Med Educ. 50:203–213.
- Cook DA, Artino AR. 2016. Motivation to learn: an overview of contemporary theories. Med Educ. [Internet]. 50:997–1014. Available from: http://doi.wiley.com/10.1111/medu.13074
- Cook DA, Garside S, Levinson AJ, Dupras DM, Montori VM. 2010. What do we mean by web-based learning? A systematic review of the variability of interventions. Med Educ. [cited 2016 Mar 28]; 44:765–774. Available from: http://www.scopus.com/inward/record.url?eid = 2-s2.0-77954718089&partnerID = tZOtx3y1
- Davies BS, Rafique J, Vincent TR, Fairclough J, Packer MH, Vincent R, Haq I. 2012. Mobile Medical Education (MoMEd) – how mobile information resources contribute to learning for undergraduate clinical students – a mixed methods study. BMC Med Educ. [Internet]. 12:1. Available from: http://www.biomedcentral.com/1472-6920/12/1
- De Kleijn RAM, Bouwmeester RAM, Ritzen MMJ, Ramaekers SPJ, Van Rijen HVM. 2013. Students’ motives for using online formative assessments when preparing for summative assessments. Med Teach. 35:E1644–E1650.
- Ellaway RH, Fink P, Graves L, Campbell A. 2014a. Left to their own devices: medical learners’ use of mobile technologies. Med Teach. [Internet]. 36:130–138. Available from: http://www.ncbi.nlm.nih.gov/pubmed/24195445
- Ellaway RH, Pusic MV, Galbraith RM, Cameron T. 2014b. Developing the role of big data and analytics in health professional education. Med Teach [Internet]. [cited 2016 Mar 5]; 36:216–222. Available from: http://www.scopus.com/inward/record.url?eid = 2-s2.0-84894599298&partnerID = tZOtx3y1
- Fishbein M. 2008. A reasoned action approach to health promotion. Med Decis Making. [Internet]. 28:834–844. Available from: http://mdm.sagepub.com/cgi/content/abstract/28/6/834
- Gaglani SM, Haynes MR. 2014. What can medical education learn from Facebook and Netflix? Ann Intern Med. 160:640–641.
- Hendrix D, Hasman L. 2008. A survey of collection development for United States Medical Licensing Examination (USMLE) and National Board Dental Examination (NBDE) preparation material. J Med Libr Assoc. [Internet]. 96:207–216. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid = 2479044&tool = pmcentrez&rendertype = abstract
- Joynes V, Fuller R. 2015. Legitimisation, personalisation and maturation: using the experiences of a compulsory mobile curriculum to reconceptualise mobile learning. Med Teach. [Internet]. 38:621–627. Available from: http://www.tandfonline.com/doi/full/10.3109/0142159X.2015.1075651#abstract
- Kerfoot BP, Baker H, Pangaro L, Agarwal K, Taffet G, Mechaber AJ, Armstrong EG. 2012. An online spaced-education game to teach and assess medical students. Acad Med. [Internet]. 87:1443–1449. Available from: http://content.wkhealth.com/linkback/openurl?sid = WKPTLP:landingpage&an = 00001888-201210000-00033
- Kibble JD. 2011. Voluntary participation in online formative quizzes is a sensitive predictor of student success. Adv Physiol Educ. 35:95–96.
- Masters K, Ellaway RH, Topps D, Archibald D, Hogue RJ. 2016. Mobile technologies in medical education: AMEE Guide No. 105. Med Teach. [Internet]. 38:537–549. Available from: http://www.tandfonline.com/doi/full/10.3109/0142159X.2016.1141190
- Navarro CX, Molina AI, Redondo MA. 2016. Factors influencing students’ acceptance in m-learning: a literature review and proposal of a taxonomy; Computers in Education (SIIE), 2016 International Symposium on (pp. 1–6). IEEE.
- Park J-H, Choi HJ. 2009. Factors influencing adult learners’ decision to drop out or persist in online learning. Educ Technol Soc. 12:207–217.
- Piemme TE. 1988. Computer-assisted learning and evaluation in medicine. JAMA. 260:367–372.
- Poitras EG. Using learning analytics to identify medical student misconceptions in an online virtual patient environment: discovery for University of Southampton [Internet]. 20. Available from: http://eds.a.ebscohost.com/eds/detail/detail?sid = a99cef47-b345-44a3-a31c-982f1664873a%40sessionmgr4006&vid = 0&hid = 4105&bdata = JnNpdGU9ZWRzLWxpdmU%3D#AN = EJ1105943&db = eric
- Quant C, Altieri L, Torres J, Craft N, Permanente K, Angeles L. 2016. The self-perception and usage of medical apps amongst medical students in the United States. A cross-sectional survey. 2016:3929741.
- Robinson T, Cronin T, Ibrahim H, Jinks M, Molitor T, Newman J, Shapiro J. 2013. Smartphone use and acceptability among clinical medical students: a questionnaire-based study. J Med Syst. 37:9936.
- Rohrer D, Pashler HE. 2010. Recent research on human learning challenges conventional instructional strategies. Educ Res. [Internet]. 39:406–412. Available from: http://edr.sagepub.com/content/39/5/406.short
- Romero C, Ventura S. 2010. Educational data mining: a review of the state of the art. IEEE Trans Syst Man Cybern C. 40:601–618.
- Sandholzer M, Deutsch T, Frese T, Winter A. 2015. Predictors of students’ self-reported adoption of a smartphone application for medical education in general practice. BMC Med Educ. Internet]. 15:91. Available from: http://dx.doi.org/10.1186/s12909-015-0377-3%5Cnpapers3://publication/doi/10.1186/s12909-015-0377-3
- Smeds MR, Thrush CR, Mizell JS, Berry KS, Bentley FR. 2016. Mobile spaced education for surgery rotation improves National Board of Medical Examiners scores. J Surg Res. [Internet]. 201:99–104. Available from: http://dx.doi.org/10.1016/j.jss.2015.10.010
- Sweet R. 1986. Student dropout in distance education: an application of Tinto’s model. Dist Educ. 7:201–213.
- Theobald J, Gaglani S, Haynes MR. 2015. The association between confidence and accuracy among users of a mobile web platform for medical education. Ann Intern Med. 162:395–396.
- Tinto V. 1975. Dropout from higher education: a theoretical synthesis of recent research. Rev Educ Res. 45:89–125.
- Venkatesh V, Thong J, Xu X. 2012. Consumer acceptance and user of information technology: extending the unified theory of acceptance and use of technology. MIS Q. [Internet]. 36:157–178. Available from: http://ezproxy.library.capella.edu/login?url = http://search.ebscohost.com/login.aspx?direct = true&db = iih&AN = 71154941&site = ehost-live&scope = site
- Wallace S, Clark M, 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:e001099.
- Williams MD, Rana NP, Dwivedi YK. 2015. The unified theory of acceptance and use of technology (UTAUT): a literature review. J Ent Info Manage. 28:443–488.
- Youm J, Wiechmann W. 2015. Medical student use of the iPad in the clerkship curriculum; 12:378–383.