• Butterfield A, Gerard EN, Kerr A. A Dictionary of Computer Science. 7th ed. Oxford, United Kingdom: Oxford University Press; 2016.

    Book 

    Google Scholar 

  • Greenhalgh T. Computer assisted learning in undergraduate medical education. BMJ. 2001;322(7277):40–4.

    Article 

    Google Scholar 

  • Shaikh F, Inayat F, Awan O, Santos MD, Choudhry AM, Waheed A, et al. Computer-Assisted Learning Applications in Health Educational Informatics: A Review. Cureus. 2017;9(8):e1559.

    Google Scholar 

  • John LJ. A review of computer assisted learning in medical undergraduates. J Pharmacol Pharmacother. 2013;4(2):86–90.

    Article 

    Google Scholar 

  • Baby L, Kavalakkat J, Abraham S, Sathianarayanan S. CAL: A modern tool for Pharmacology. Internet J of Medical Simulation. 2009;2(2):e160921190441.

    Google Scholar 

  • Jaffe CC, Lynch PJ. Computer-aided instruction in radiology: opportunities for more effective learning. AJR Am J Roentgenol. 1995;164(2):463–7.

    Article 

    Google Scholar 

  • Amesse LS, Callendar E, Pfaff-Amesse T, Duke J, Herbert WN. Evaluation of computer-aided strategies for teaching medical students prenatal ultrasound diagnostic skills. Med Educ Online. 2008;13(1):4482.

    Article 

    Google Scholar 

  • Haq I, Dacre J. Computer-assisted learning in undergraduate and postgraduate rheumatology education. Rheumatology. 2003;42(2):367–70.

    Article 

    Google Scholar 

  • Gorman PJ, Meier AH, Krummel TM. Computer-assisted training and learning in surgery. Comput Aided Surg. 2000;5(2):120–30.

    Article 

    Google Scholar 

  • Svirko E, Mellanby J. Teaching neuroanatomy using computer-aided learning: What makes for successful outcomes? Anat Sci Educ. 2017;10(6):560–9.

    Article 

    Google Scholar 

  • McKeough DM, Mattern-Baxter K, Barakatt E. Effectiveness of a computer-aided neuroanatomy program for entry-level physical therapy students: anatomy and clinical examination of the dorsal column–medial lemniscal system. J Allied Health. 2010;39(3):156–64.

    Google Scholar 

  • Svirko E, Mellanby J. Attitudes to e-learning, learning style and achievement in learning neuroanatomy by medical students. Med Teach. 2008;30(9–10):e219–27.

    Article 

    Google Scholar 

  • Berman NB, Fall LH, Maloney CG, Levine DA. Computer-Assisted Instruction in Clinical Education: a Roadmap to Increasing CAI Implementation. Can J Neurol Sci. 2008;13(3):373–83.

    Google Scholar 

  • Lewis EC, Strike M, Doja A, Ni A, Weber J, Wiper-Bergeron N, et al. Web-based software to assist in the localization of neuroanatomical lesions. Can J Neurol Sci. 2011;38(2):251–5.

    Article 

    Google Scholar 

  • Weverling GJ, Stam J, ten Cate TJ, van Crevel H. Computer-assisted education in problem-solving in neurology; a randomized educational study. Ned Tijdschr Geneeskd. 1996;140(8):440–3.

    Google Scholar 

  • Elizondo-Omaña RE, Morales-Gómez JA, Guzmán SL, Hernández IL, Ibarra RP, Vilchez FC. Traditional teaching supported by computer-assisted learning for macroscopic anatomy. Anat Rec B New Anat. 2004;278(1):18–22.

    Article 

    Google Scholar 

  • Hughes B, Joshi I, Lemonde H, Wareham J. Junior physician’s use of Web 20 for information seeking and medical education: a qualitative study. Int J Med Inf. 2009;78(10):645–55.

    Article 

    Google Scholar 

  • Allahwala UK, Nadkarni A, Sebaratnam DF. Wikipedia use amongst medical students–new insights into the digital revolution. Med Teach. 2013;35(4):337.

    Article 

    Google Scholar 

  • Back DA, Behringer F, Haberstroh N, Ehlers JP, Sostmann K, Peters H. Learning management system and e-learning tools: an experience of medical students’ usage and expectations. Int J Med Educ. 2016;20(7):267–73.

    Article 

    Google Scholar 

  • Jozefowicz RF. Neurophobia: the fear of neurology among medical students. Arch Neurol. 1994;51(4):328–9.

    Article 

    Google Scholar 

  • Burford C, Alexander E, Sloper W, Huett M. Factors influencing interest in the brain-related sciences in a UK cohort. J Neurol Sci. 2017;15(377):77–8.

    Article 

    Google Scholar 

  • Pakpoor J, Handel AE, Disanto G, Davenport RJ, Giovannoni G, Ramagopalan SV. National survey of UK medical students on the perception of neurology. BMC Med Educ. 2014;14(1):225.

    Article 

    Google Scholar 

  • Javaid MA, Chakraborty S, Cryan JF, Schellekens H, Toulouse A. Understanding neurophobia: Reasons behind impaired understanding and learning of neuroanatomy in cross-disciplinary healthcare students. Anat Sci Educ. 2018;11(1):81–93.

    Article 

    Google Scholar 

  • Pani JR, Chariker JH, Naaz F, Mattingly W, Roberts J, Sephton SE. Learning with interactive computer graphics in the undergraduate neuroscience classroom. Adv Health Sci Educ Theory Pract. 2014;19(4):507–28.

    Article 

    Google Scholar 

  • McColgan P, McKeown P, Selai C, Doherty-Allan R, McCarron M. Educational interventions in neurology: a comprehensive systematic review. Eur J Neurol. 2013;20(7):1006–16.

    Article 

    Google Scholar 

  • Chhetri SK. E-learning in neurology education: Principles, opportunities and challenges in combating neurophobia. J Clin Neurosci. 2017;2017(44):80–3.

    Article 

    Google Scholar 

  • Burford C, Guni A, Rajan K, Hanrahan J, Armitage M, Driscoll A, et al. Designing undergraduate neurosurgical e-learning: medical students’ perspective. Br J Neurosurg. 2019;33(1):79.

    Article 

    Google Scholar 

  • Articulate Global Inc. Academic Pricing. 2020; Available at: https://articulate.com/pricing/academic. Accessed 09 Sept 2020.

  • Rhcastilhos. Circle of Willis. 2014; Available at: https://en.wikipedia.org/wiki/File:Circle_of_Willis_en.svg. Accessed 17 Dec 2021.

  • Anatomist90. Circle of Willis. 2011; Available at: https://commons.wikimedia.org/wiki/File:Circle_of_Willis_5.jpg Licence:https://creativecommons.org/licenses/by-sa/3.0/deed.en. Accessed 17 Dec 2021.

  • Bland JM, Altman DG. Cronbach’s alpha. BMJ. 1997;314(7080):572–572.

    Article 

    Google Scholar 

  • Statistics Kingdom. Normal, T – Sample size calculator. 2017; Available at: https://www.statskingdom.com/sample_size_t_z.html. Accessed 25 Feb 2022.

  • Fox RD, Harvill LM. Self-assessments of need, relevance and motivation to learn as indicators of participation in continuing medical education. Med Educ. 1984;18(4):275–81.

    Article 

    Google Scholar 

  • Dornan T, Hadfield J, Brown M, Boshuizen H, Scherpbier A. How can medical students learn in a self-directed way in the clinical environment? Design-based research. Med Educ. 2005;39(4):356–64.

    Article 

    Google Scholar 

  • Fredricks JA, Filsecker M, Lawson MA. Student engagement, context, and adjustment: Addressing definitional, measurement, and methodological issues. Learn Instr. 2016;2016(43):1–4.

    Article 

    Google Scholar 

  • Caris MG, Sikkens JJ, Kusurkar RA, van Agtmael MA. E-learning on antibiotic prescribing—the role of autonomous motivation in participation: a prospective cohort study. J Antimicrob Chemother. 2018;73(8):2247–51 (7/5).

    Article 

    Google Scholar 

  • Paul C, Rose S, Hensley M, Pretto J, Hardy M, Henskens F, et al. Examining uptake of online education on obstructive sleep apnoea in general practitioners: a randomised trial. BMC Res Notes. 2016;9(1):350.

    Article 

    Google Scholar 

  • Reid HJ, Thomson C, McGlade KJ. Content and discontent: a qualitative exploration of obstacles to elearning engagement in medical students. BMC Med Educ. 2016;16(1):188.

    Article 

    Google Scholar 

  • Hudson JN. Linking neuroscience theory to practice to help overcome student fear of neurology. Med Teach. 2006;28(7):651–3.

    Article 

    Google Scholar 

  • Kanthan R, Senger J. The impact of specially designed digital games-based learning in undergraduate pathology and medical education. Arch Pathol Lab Med. 2011;135(1):135–42.

    Article 

    Google Scholar 

  • Wong G, Greenhalgh T, Pawson R. Internet-based medical education: a realist review of what works, for whom and in what circumstances. BMC Med Educ. 2010;10(1):12.

    Article 

    Google Scholar 

  • Cook DA, Levinson AJ, Garside S. Time and learning efficiency in Internet-based learning: a systematic review and meta-analysis. Adv Health Sci Educ Theory Pract. 2010;15(5):755–70.

    Article 

    Google Scholar 

  • Devitt P, Palmer E. Computer-aided learning: an overvalued educational resource? Med Educ. 1999;33(2):136–9.

    Article 

    Google Scholar 

  • Cook DA, Beckman TJ, Thomas KG, Thompson WG. Introducing resident doctors to complexity in ambulatory medicine. Med Educ. 2008;42(8):838–48.

    Article 

    Google Scholar 

  • Cook DA, Thompson WG, Thomas KG, Thomas MR, Pankratz VS. Impact of Self-Assessment Questions and Learning Styles in Web-Based Learning: A Randomized, Controlled. Crossover Trial Acad Med. 2006;81(3):231–8.

    Article 

    Google Scholar 

  • Kopp V, Stark R, Fischer MR. Fostering diagnostic knowledge through computer-supported, case-based worked examples: effects of erroneous examples and feedback. Med Educ. 2008;42(8):823–9.

    Article 

    Google Scholar 

  • Friedl R, Höppler H, Ecard K, Scholz W, Hannekum A, Oechsner W, et al. Comparative Evaluation of Multimedia Driven, Interactive, and Case-Based Teaching in Heart Surgery. Ann Thorac Surg. 2006;82(5):1790–5.

    Article 

    Google Scholar 

  • Mattheos N, Nattestad A, Christersson C, Jansson H, Attström R. The effects of an interactive software application on the self-assessment ability of dental students. Eur J Dent Educ. 2004;8(3):97–104.

    Google Scholar 

  • Reich J. Rebooting MOOC Research. Science. 2015;347(6217):34.

    Article 

    Google Scholar 

  • Cotton DRE, Gresty KA. The rhetoric and reality of e-learning: using the think-aloud method to evaluate an online resource. Assess Eval High Educ. 2007;32(5):583–600.

    Article 

    Google Scholar 

  • McLaughlin JE, Rhoney DH. Comparison of an interactive e-learning preparatory tool and a conventional downloadable handout used within a flipped neurologic pharmacotherapy lecture. Curr Pharm Teach Learn. 2015;7(1):12–9.

    Article 

    Google Scholar 

  • Cook DA, Levinson AJ, Garside S, Dupras DM, Erwin PJ, Montori VM. Internet-based learning in the health professions: a meta-analysis. JAMA. 2008;300(10):1181–96.

    Article 

    Google Scholar 

  • Kurup V. The New Learners—Millennials!! Int Anesthesiol Clin. 2010;48(3):13–25.

    Article 

    Google Scholar 

  • Ruiz JG, Mintzer MJ, Leipzig RM. The impact of e-learning in medical education. Acad Med. 2006;81(3):207–12.

    Article 

    Google Scholar 

  • Sharma K, Athauda D, Robbins E. A survey of undergraduate teaching of clinical neurology in the United Kingdom 2012. J Neurol Neurosurg Psychiatry. 2013;84(11):e2.

    Google Scholar 

  • DiCarlo SE. Too much content, not enough thinking, and too little FUN! Adv Physiol Educ. 2009;33(4):257–64.

    Article 

    Google Scholar 

  • Schon F, Hart P, Fernandez C. Is clinical neurology really so difficult? J Neurol Neurosurg Psychiatr. 2002;72(5):557.

    Article 

    Google Scholar 

  • Flanagan E, Walsh C, Tubridy N. ‘Neurophobia’– attitudes of medical students and doctors in Ireland to neurological teaching. Eur J Neurol. 2007;14(10):1109–12.

    Article 

    Google Scholar 

  • Brueckner JK, Traurig H. Students’ responses to the introduction of a digital laboratory guide in medical neuroscience. Med Teach. 2003;25(6):643–8.

    Article 

    Google Scholar 

  • Marker DR, Juluru K, Long C, Magid D. Strategic improvements for gross anatomy web-based teaching. Anat Res Int. 2012;2012:146262.

    Google Scholar 

  • Bye AME, Connolly AM, Farrar M, Lawson JA, Lonergan A. Teaching paediatric epilepsy to medical students: A randomised crossover trial. J Paediatr Child Health. 2009;45(12):727–30.

    Article 

    Google Scholar 

  • Lim ECH, Ong BKC, Seet RCS. Using videotaped vignettes to teach medical students to perform the neurologic examination. J Gen Intern Med. 2006;21(1):101–101.

    Article 

    Google Scholar 

  • Topics #Advanced computer #computer #Electronics #Hardware #Software