The relative effectiveness of computer-based and traditional resources for education in anatomy
There is increasing use of computer–based resources to teach anatomy, although no study has compared computer‐based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer‐based module, (2) a static computer‐based...
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| Published in | Anatomical sciences education Vol. 6; no. 4; pp. 211 - 215 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Blackwell Publishing Ltd
01.07.2013
Wiley-Blackwell Wiley Subscription Services, Inc |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1935-9772 1935-9780 1935-9780 |
| DOI | 10.1002/ase.1355 |
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| Abstract | There is increasing use of computer–based resources to teach anatomy, although no study has compared computer‐based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer‐based module, (2) a static computer‐based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer‐based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views. Anat Sci Educ 6: 211–215. © 2013 American Association of Anatomists. |
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| AbstractList | There is increasing use of computer–based resources to teach anatomy, although no study has compared computer‐based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer‐based module, (2) a static computer‐based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer‐based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views. Anat Sci Educ 6: 211–215. © 2013 American Association of Anatomists. There is increasing use of computer-based resources to teach anatomy, although no study has compared computer-based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer-based module, (2) a static computer-based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer-based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views.There is increasing use of computer-based resources to teach anatomy, although no study has compared computer-based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer-based module, (2) a static computer-based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer-based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views. There is increasing use of computer-based resources to teach anatomy, although no study has compared computer-based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer-based module, (2) a static computer-based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer-based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views. (Contains 2 tables and 1 figure.) There is increasing use of computer-based resources to teach anatomy, although no study has compared computer-based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer-based module, (2) a static computer-based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer-based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views. Anat Sci Educ 6: 211-215. © 2013 American Association of Anatomists. [PUBLICATION ABSTRACT] There is increasing use of computer-based resources to teach anatomy, although no study has compared computer-based learning to traditional. In this study, we examine the effectiveness of three formats of anatomy learning: (1) a virtual reality (VR) computer-based module, (2) a static computer-based module providing Key Views (KV), (3) a plastic model. We conducted a controlled trial in which 60 undergraduate students had ten minutes to study the names of 20 different pelvic structures. The outcome measure was a 25 item short answer test consisting of 15 nominal and 10 functional questions, based on a cadaveric pelvis. All subjects also took a brief mental rotations test (MRT) as a measure of spatial ability, used as a covariate in the analysis. Data were analyzed with repeated measures ANOVA. The group learning from the model performed significantly better than the other two groups on the nominal questions (Model 67%; KV 40%; VR 41%, Effect size 1.19 and 1.29, respectively). There was no difference between the KV and VR groups. There was no difference between the groups on the functional questions (Model 28%; KV, 23%, VR 25%). Computer-based learning resources appear to have significant disadvantages compared to traditional specimens in learning nominal anatomy. Consistent with previous research, virtual reality shows no advantage over static presentation of key views. |
| Audience | Higher Education Postsecondary Education |
| Author | Norman, Geoffrey R. Wainman, Bruce Khot, Zaid Quinlan, Kaitlyn |
| Author_xml | – sequence: 1 givenname: Zaid surname: Khot fullname: Khot, Zaid organization: Schulich School of Medicine and Dentistry, the University of Western Ontario, Ontario, London, Canada – sequence: 2 givenname: Kaitlyn surname: Quinlan fullname: Quinlan, Kaitlyn organization: School of Physical Therapy, the University of Western Ontario, Ontario, London, Canada – sequence: 3 givenname: Geoffrey R. surname: Norman fullname: Norman, Geoffrey R. email: norman@mcmaster.ca organization: Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Ontario, Hamilton, Canada – sequence: 4 givenname: Bruce surname: Wainman fullname: Wainman, Bruce organization: Department of Pathology and Molecular Medicine, Faculty of Health Sciences, McMaster University, Ontario, Hamilton, Canada |
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Kinnison T, Forrest ND, Frean SP, Baillie S. 2009. Teaching bovine abdominal anatomy: Use of a haptic simulator. Anat Sci Educ 2:280-285. Petersson H, Sinkvist D, Wang C, Smedby Ö. 2009. Web-based interactive 3D visualization as a tool for improved anatomy learning. Anat Sci Educ 2:61-68. Masters MS, Sanders B. 1993. Is the gender difference in mental rotation disappearing? Behav Genet 23:337-341. Trelease RB. 2008. Diffusion of innovations: Smartphones and wireless anatomy learning resources. Anat Sci Educ 1:233-239. Levinson AJ, Weaver B, Garside S, McGinn H, Norman GR. 2007. Virtual reality and brain anatomy: A randomized trial of e-learning instructional designs. Med Educ 41:495-501. Garg AX, Norman G, Spero L. 2001. How medical students learn spatial anatomy. Lancet 357:363-364. Sugand K, Abrahams P, Khurana A. 2010. The anatomy of anatomy: A review for its modernization. Anat Sci Educ 3:83-93. Cook DA, Hatala R, Brydges R, Zendejas B, Szostek JH, Wang AT, Erwin PJ, Hamstra SJ. 2011. Technology-enhanced simulation for health professions education: A systematic review and meta-analysis. JAMA 306:978-988. Heylings DJ. 2002. Anatomy 1999-2000: The curriculum, who teaches it and how? Med Educ 36:702-710. Cook DA, Erwin PJ, Triola MM. 2010. Computerized virtual patients in health professions education: A systematic review and meta-analysis. Acad Med 85:1589-1602. Bulthoff HH, Edelman SY, Tarr MJ. 1995. How are three-dimensional objects represented in the brain? Cereb Cortex 3:247-260. Shaffer K. 2004. Teaching anatomy in the digital world. N Engl J Med 351:1279-1281. Lufler RS, Zumwalt AC, Romney CA, Hoagland TM. 2012. Effect of visual-spatial ability on medical students' performance in a gross anatomy course. Anat Sci Educ 5:3-9. Tam MD, Hart AR, Williams S, Heylings D, Leinster S. 2009. Is learning anatomy facilitated by computer-aided learning? A review of the literature. Med Teach 31:e393-e396. Vandenburg SG, Kuse AR. 1978. Mental rotations: A group test of three-dimensional spatial visualizations. Percept Mot Skills 47:599-604. Preece D, Williams SB, Lam R, Weller R. 2013. "Let's get physical": Advantages of a physical model over 3D computer models and textbooks in learning imaging anatomy. Anat Sci Educ 6:216-224. Nguyen N, Wilson TD 2009. A head in virtual reality: Development of a dynamic head and neck model. Anat Sci Educ 2:294-301. McLachlan JC, Bligh J, Bradley P, Searle J. 2004. Teaching anatomy without cadavers. Med Educ 38:418-424. Peplow PV. 1998. Attitudes and examination performance of female and male medical students in an active, case-based learning programme in anatomy. Med Teach 20:349-355. Stull AT, Hegarty M, Mayer RE. 2009. Getting a handle on learning anatomy with interactive three-dimensional graphics. J Educ Psychol 101:803-816. 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. Rochford K. 1985. Special learning disabilities and underachievement among university anatomy students. Med Educ 19:13-26. van Merriënboer JJ, Sweller J. 2010. Cognitive load theory in health professional education: Design principles and strategies. Med Educ 44:85-93. Guillot A, Champely S, Batier C, Thiriet P, Collet C. 2007. Relationship between spatial abilities, mental rotation and functional anatomy learning. Adv Health Sci Educ Theory Pract 12:491-507. Appaji AC, Kulkarni R, Poojar A, Vinayagam K. 2010. Teaching anatomy with digital self-learning modules. Med Educ 44:525-526. Garg A, Norman GR, Spero L, Maheshwari P. 1999. Do virtual computer models hinder anatomy learning? Acad Med 74:S87-S89. Peters M. 2005. Sex differences and the factor of time in solving Vandenberg and Kuse mental rotation problems. Brain Cognit 57:176-184. Winkelmann A. 2007. Anatomical dissection as a teaching method in medical school: A review of the evidence. Med Educ 41:15-22. Hoyek N, Collet C, Rastello O, Fargier P, Thiriet P, Guillot A. 2009. Enhancement of mental rotation abilities and its effect on anatomy learning. Teach Learn Med 21:201-206. Albanese M. 2010. The gross anatomy laboratory: A prototype for simulation-based medical education. Med Educ 44:7-9. Peters M, Manning JT, Reimers S. 2007. The effects of sex, sexual orientation, and digit ratio (2D:4D) on mental rotation performance. Arch Sex Behav 36:251-260. 2002; 36 1993; 23 2009; 21 2002; 77 2008; 300 2008; 1 2008; 100 1995; 3 2007; 12 1998; 20 2013; 6 2010; 85 2007; 36 1985; 19 2010; 23 2010; 44 2004; 351 2006; 41 2011; 306 2009; 31 2004; 38 2009; 101 1999; 74 1978; 47 2007; 41 2010; 3 2009; 2 2010; 2 2012; 5 2001; 357 2005; 57 e_1_2_11_10_1 e_1_2_11_32_1 e_1_2_11_31_1 e_1_2_11_30_1 e_1_2_11_36_1 e_1_2_11_14_1 e_1_2_11_13_1 e_1_2_11_35_1 e_1_2_11_12_1 e_1_2_11_34_1 e_1_2_11_11_1 e_1_2_11_33_1 e_1_2_11_7_1 e_1_2_11_29_1 e_1_2_11_6_1 e_1_2_11_28_1 e_1_2_11_5_1 e_1_2_11_27_1 e_1_2_11_4_1 e_1_2_11_26_1 e_1_2_11_3_1 e_1_2_11_2_1 e_1_2_11_21_1 e_1_2_11_20_1 e_1_2_11_25_1 e_1_2_11_24_1 e_1_2_11_9_1 e_1_2_11_23_1 e_1_2_11_8_1 e_1_2_11_22_1 e_1_2_11_18_1 e_1_2_11_17_1 e_1_2_11_16_1 e_1_2_11_15_1 e_1_2_11_37_1 e_1_2_11_38_1 e_1_2_11_19_1 23825081 - Anat Sci Educ. 2013 Jul-Aug;6(4):209-10 |
| References_xml | – reference: Rochford K. 1985. Special learning disabilities and underachievement among university anatomy students. Med Educ 19:13-26. – reference: Petersson H, Sinkvist D, Wang C, Smedby Ö. 2009. Web-based interactive 3D visualization as a tool for improved anatomy learning. Anat Sci Educ 2:61-68. – reference: Cook DA, Hatala R, Brydges R, Zendejas B, Szostek JH, Wang AT, Erwin PJ, Hamstra SJ. 2011. Technology-enhanced simulation for health professions education: A systematic review and meta-analysis. JAMA 306:978-988. – reference: Peplow PV. 1998. Attitudes and examination performance of female and male medical students in an active, case-based learning programme in anatomy. Med Teach 20:349-355. – reference: Cook DA, Erwin PJ, Triola MM. 2010. Computerized virtual patients in health professions education: A systematic review and meta-analysis. Acad Med 85:1589-1602. – reference: Tang L, Chung MS, Liu Q, Shin DS. 2010. Advanced features of whole body sectioned images: Virtual Chinese Human. Clin Anat 23:523-529. – reference: Trelease RB. 2008. Diffusion of innovations: Smartphones and wireless anatomy learning resources. Anat Sci Educ 1:233-239. – reference: Peters M. 2005. Sex differences and the factor of time in solving Vandenberg and Kuse mental rotation problems. Brain Cognit 57:176-184. – reference: Preece D, Williams SB, Lam R, Weller R. 2013. "Let's get physical": Advantages of a physical model over 3D computer models and textbooks in learning imaging anatomy. Anat Sci Educ 6:216-224. – reference: DeLeeuw KE, Mayer RE. 2008. A comparison of three measures of cognitive load: Evidence for separable measures of intrinsic, extraneous, and germane load. J Educ Psychol 100:223-234. – reference: Garg AX, Norman GR, Eva KW, Spero L, Sharan S. 2002. Is there any real virtue of virtual reality?: The minor role of multiple orientations in learning anatomy from computers. Acad Med 77:S97-S99. – reference: Garg AX, Norman G, Spero L. 2001. How medical students learn spatial anatomy. Lancet 357:363-364. – reference: Shaffer K. 2004. Teaching anatomy in the digital world. N Engl J Med 351:1279-1281. – reference: McLachlan JC, Bligh J, Bradley P, Searle J. 2004. Teaching anatomy without cadavers. Med Educ 38:418-424. – reference: Kinnison T, Forrest ND, Frean SP, Baillie S. 2009. Teaching bovine abdominal anatomy: Use of a haptic simulator. Anat Sci Educ 2:280-285. – reference: van Merriënboer JJ, Sweller J. 2010. Cognitive load theory in health professional education: Design principles and strategies. Med Educ 44:85-93. – reference: Hoyek N, Collet C, Rastello O, Fargier P, Thiriet P, Guillot A. 2009. Enhancement of mental rotation abilities and its effect on anatomy learning. Teach Learn Med 21:201-206. – reference: Masters MS, Sanders B. 1993. Is the gender difference in mental rotation disappearing? Behav Genet 23:337-341. – reference: Guillot A, Champely S, Batier C, Thiriet P, Collet C. 2007. Relationship between spatial abilities, mental rotation and functional anatomy learning. Adv Health Sci Educ Theory Pract 12:491-507. – reference: Lufler RS, Zumwalt AC, Romney CA, Hoagland TM. 2012. Effect of visual-spatial ability on medical students' performance in a gross anatomy course. Anat Sci Educ 5:3-9. – reference: Albanese M. 2010. The gross anatomy laboratory: A prototype for simulation-based medical education. Med Educ 44:7-9. – reference: Vandenburg SG, Kuse AR. 1978. Mental rotations: A group test of three-dimensional spatial visualizations. Percept Mot Skills 47:599-604. – reference: Heylings DJ. 2002. Anatomy 1999-2000: The curriculum, who teaches it and how? Med Educ 36:702-710. – reference: Pandey P, Zimitat C. 2006. Medical students' learning of anatomy: Memorisation, understanding and visualization. Med Educ 41:7-14. – reference: Winkelmann A. 2007. Anatomical dissection as a teaching method in medical school: A review of the evidence. Med Educ 41:15-22. – reference: Levinson AJ, Weaver B, Garside S, McGinn H, Norman GR. 2007. Virtual reality and brain anatomy: A randomized trial of e-learning instructional designs. Med Educ 41:495-501. – reference: Appaji AC, Kulkarni R, Poojar A, Vinayagam K. 2010. Teaching anatomy with digital self-learning modules. Med Educ 44:525-526. – reference: Smego RA Jr, Herning TA, Davis L, Hossain W, Al-Khusaiby SM. 2009. A personal computer-based undergraduate medical school curriculum using SOLE. Teach Learn Med 21:38-44. – reference: Bulthoff HH, Edelman SY, Tarr MJ. 1995. How are three-dimensional objects represented in the brain? Cereb Cortex 3:247-260. – reference: Garg A, Norman GR, Spero L, Maheshwari P. 1999. Do virtual computer models hinder anatomy learning? Acad Med 74:S87-S89. – reference: Tam MD, Hart AR, Williams S, Heylings D, Leinster S. 2009. Is learning anatomy facilitated by computer-aided learning? A review of the literature. Med Teach 31:e393-e396. – reference: Sugand K, Abrahams P, Khurana A. 2010. The anatomy of anatomy: A review for its modernization. Anat Sci Educ 3:83-93. – reference: Nguyen N, Wilson TD 2009. A head in virtual reality: Development of a dynamic head and neck model. Anat Sci Educ 2:294-301. – reference: Peters M, Manning JT, Reimers S. 2007. The effects of sex, sexual orientation, and digit ratio (2D:4D) on mental rotation performance. Arch Sex Behav 36:251-260. – reference: Stull AT, Hegarty M, Mayer RE. 2009. Getting a handle on learning anatomy with interactive three-dimensional graphics. J Educ Psychol 101:803-816. – reference: 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. – reference: McNulty JA, Sonntag B, Sinacore JM. 2010. Evaluation of computer-aided instruction in a gross anatomy course: A six-year study. 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A review of the literature publication-title: Med Teach – volume: 47 start-page: 599 year: 1978 end-page: 604 article-title: Mental rotations: A group test of three‐dimensional spatial visualizations publication-title: Percept Mot Skills – volume: 44 start-page: 85 year: 2010 end-page: 93 article-title: Cognitive load theory in health professional education: Design principles and strategies publication-title: Med Educ – volume: 6 start-page: 216 year: 2013 end-page: 224 article-title: “Let's get physical”: Advantages of a physical model over 3D computer models and textbooks in learning imaging anatomy publication-title: Anat Sci Educ – volume: 3 start-page: 247 year: 1995 end-page: 260 article-title: How are three‐dimensional objects represented in the brain? publication-title: Cereb Cortex – volume: 74 start-page: S87 year: 1999 end-page: S89 article-title: Do virtual computer models hinder anatomy learning? publication-title: Acad Med – volume: 101 start-page: 803 year: 2009 end-page: 816 article-title: Getting a handle on learning anatomy with interactive three‐dimensional graphics publication-title: J Educ Psychol – volume: 36 start-page: 251 year: 2007 end-page: 260 article-title: The effects of sex, sexual orientation, and digit ratio (2D:4D) on mental rotation performance publication-title: Arch Sex Behav – volume: 41 start-page: 495 year: 2007 end-page: 501 article-title: Virtual reality and brain anatomy: A randomized trial of e‐learning instructional designs publication-title: Med Educ – volume: 100 start-page: 223 year: 2008 end-page: 234 article-title: A comparison of three measures of cognitive load: Evidence for separable measures of intrinsic, extraneous, and germane load publication-title: J Educ Psychol – volume: 44 start-page: 525 year: 2010 end-page: 526 article-title: Teaching anatomy with digital self‐learning modules publication-title: Med Educ – volume: 2 start-page: 280 year: 2009 end-page: 285 article-title: Teaching bovine abdominal anatomy: Use of a haptic simulator publication-title: Anat Sci Educ – volume: 2 start-page: 294 year: 2009 end-page: 301 article-title: A head in virtual reality: Development of a dynamic head and neck model publication-title: Anat Sci Educ – volume: 77 start-page: S97 year: 2002 end-page: S99 article-title: Is there any real virtue of virtual reality?: The minor role of multiple orientations in learning anatomy from computers publication-title: Acad Med – volume: 300 start-page: 1181 year: 2008 end-page: 1196 article-title: Internet‐based learning in the health professions: A meta‐analysis publication-title: JAMA – volume: 5 start-page: 3 year: 2012 end-page: 9 article-title: Effect of visual‐spatial ability on medical students' performance in a gross anatomy course publication-title: Anat Sci Educ – volume: 19 start-page: 13 year: 1985 end-page: 26 article-title: Special learning disabilities and underachievement among university anatomy students publication-title: Med Educ – volume: 351 start-page: 1279 year: 2004 end-page: 1281 article-title: Teaching anatomy in the digital world publication-title: N Engl J Med – volume: 38 start-page: 418 year: 2004 end-page: 424 article-title: Teaching anatomy without cadavers publication-title: Med Educ – volume: 306 start-page: 978 year: 2011 end-page: 988 article-title: Technology‐enhanced simulation for health professions education: A systematic review and meta‐analysis publication-title: JAMA – volume: 36 start-page: 702 year: 2002 end-page: 710 article-title: Anatomy 1999–2000: The curriculum, who teaches it and how? publication-title: Med Educ – volume: 57 start-page: 176 year: 2005 end-page: 184 article-title: Sex differences and the factor of time in solving Vandenberg and Kuse mental rotation problems publication-title: Brain Cognit – volume: 357 start-page: 363 year: 2001 end-page: 364 article-title: How medical students learn spatial anatomy publication-title: Lancet – volume: 12 start-page: 491 year: 2007 end-page: 507 article-title: Relationship between spatial abilities, mental rotation and functional anatomy learning publication-title: Adv Health Sci Educ Theory Pract – volume: 41 start-page: 7 year: 2006 end-page: 14 article-title: Medical students' learning of anatomy: Memorisation, understanding and visualization publication-title: Med Educ – volume: 21 start-page: 201 year: 2009 end-page: 206 article-title: Enhancement of mental rotation abilities and its effect on anatomy learning publication-title: Teach Learn Med – ident: e_1_2_11_2_1 doi: 10.1111/j.1365-2923.2009.03536.x – ident: e_1_2_11_20_1 doi: 10.1002/ase.66 – ident: e_1_2_11_22_1 doi: 10.1111/j.1365-2929.2006.02643.x – ident: e_1_2_11_18_1 doi: 10.1007/BF01067434 – ident: e_1_2_11_21_1 doi: 10.1002/ase.115 – ident: e_1_2_11_38_1 doi: 10.1111/j.1365-2929.2006.02625.x – ident: e_1_2_11_35_1 doi: 10.1002/ase.58 – ident: e_1_2_11_36_1 doi: 10.1111/j.1365-2923.2009.03498.x – ident: e_1_2_11_15_1 doi: 10.1002/ase.109 – ident: e_1_2_11_25_1 doi: 10.1007/s10508-006-9166-8 – ident: e_1_2_11_7_1 doi: 10.1001/jama.300.10.1181 – ident: e_1_2_11_17_1 doi: 10.1002/ase.264 – ident: e_1_2_11_4_1 doi: 10.1093/cercor/5.3.247 – ident: e_1_2_11_29_1 doi: 10.1056/NEJMp048100 – ident: e_1_2_11_27_1 doi: 10.1002/ase.1345 – ident: e_1_2_11_9_1 doi: 10.1097/00001888-200210001-00030 – ident: e_1_2_11_32_1 doi: 10.1002/ase.139 – ident: e_1_2_11_12_1 doi: 10.1007/s10459-006-9021-7 – ident: e_1_2_11_13_1 doi: 10.1046/j.1365-2923.2002.01272.x – ident: e_1_2_11_19_1 doi: 10.1046/j.1365-2923.2004.01795.x – ident: e_1_2_11_23_1 doi: 10.1080/01421599880788 – ident: e_1_2_11_24_1 doi: 10.1016/j.bandc.2004.08.052 – ident: e_1_2_11_3_1 doi: 10.1111/j.1365-2923.2010.03679.x – ident: e_1_2_11_5_1 doi: 10.1097/ACM.0b013e3181edfe13 – ident: e_1_2_11_37_1 doi: 10.2466/pms.1978.47.2.599 – ident: e_1_2_11_14_1 doi: 10.1080/10401330903014178 – ident: e_1_2_11_11_1 doi: 10.1016/S0140-6736(00)03649-7 – ident: e_1_2_11_26_1 doi: 10.1002/ase.76 – ident: e_1_2_11_8_1 doi: 10.1037/0022-0663.100.1.223 – ident: e_1_2_11_28_1 doi: 10.1111/j.1365-2923.1985.tb01134.x – ident: e_1_2_11_30_1 doi: 10.1080/10401330802574009 – ident: e_1_2_11_33_1 doi: 10.1080/01421590802650092 – ident: e_1_2_11_31_1 doi: 10.1037/a0016849 – ident: e_1_2_11_6_1 doi: 10.1001/jama.2011.1234 – ident: e_1_2_11_16_1 doi: 10.1111/j.1365-2929.2006.02694.x – ident: e_1_2_11_34_1 doi: 10.1002/ca.20975 – ident: e_1_2_11_10_1 doi: 10.1097/00001888-199910000-00049 – reference: 23825081 - Anat Sci Educ. 2013 Jul-Aug;6(4):209-10 |
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| Title | The relative effectiveness of computer-based and traditional resources for education in anatomy |
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